JP2012085906A - Device for monitoring living body, method for monitoring living body, system for monitoring living body, control program, and recording medium on which the control program is recorded - Google Patents

Abstract

PROBLEM TO BE SOLVED: To appropriately control an informing operation of a measurement result according to the condition of a living body measured.SOLUTION: A device 1 for monitoring the living body includes a living body measurement section 20 that derives measurement result information showing the condition of the living body by using at least one piece of biosignal information acquired from the living body, and an output operation controller 30 that controls the informing operation of one or more information output sections (an output section 15 and an information output device 110) that pass along the condition of the living body that the measurement result information derived by the living body measurement section 20 shows, wherein the output operation controller 30 controls the informing operation of the information output section according to contents of the derived measurement result information.

Description

  The present invention relates to a living body monitoring apparatus that monitors a living body, and particularly relates to a living body monitoring apparatus that monitors a living body using a measurement result obtained by measuring a state of the living body.

  Conventionally, a technique for sensing a living body using a sensor and measuring the state of the living body based on signal information obtained from the sensor has been widely used. In recent years, a system for monitoring a living body using measurement results obtained from the living body by applying this technique has become widespread.

  For example, in Patent Documents 1 to 4, a system that measures an operation or state of a living body to be monitored using a sensor and performs an operation (notification operation, device control, etc.) according to the state of the living body detected by the sensor. Is disclosed.

  Specifically, Patent Document 3 discloses a sports information monitoring system using a wireless relay device that watches over a player who participates in a sports event. In the sports information monitoring system described above, a heart rate sensor and a blood pressure sensor are attached to a player, and the heart rate and blood pressure data of the player can be acquired. Then, the heart rate and blood pressure data for each player collected by the management server from each sensor via the wireless relay device is processed by the management computer. Thereby, it becomes possible to judge the activity state of a player and to quickly find an abnormality in the physical condition of the player.

  Patent Document 5 discloses a monitoring system that collects information on a person to be watched using a camera or a microphone, and watches the target person from a remote place based on the collected information.

JP 2002-175581 A (released on June 21, 2002) JP 2004-145875 A (published on May 20, 2004) JP 2003-150716 A (published May 23, 2003) JP 2009-056075 A (published March 19, 2009) JP 2006-235978 A (published September 7, 2006)

  However, in the technique of the above-mentioned Patent Document 3, in the output operation for outputting the state of the living body to be monitored (for example, the operation for notifying that an abnormality has occurred), it is not possible to perform a fine response according to the state of the living body. Occurs.

  As a specific example, in Patent Document 3, the management computer 5 simply transmits the same content of occurrence of abnormality to all wireless relay devices uniformly, and the terminal device 14 transmits the same content (all monitoring It is only sent uniformly to all mobile phones.

  In other words, the notification operation is always performed in the same pattern at the time of abnormality regardless of the content and level of the abnormality that has occurred. Therefore, there is a possibility that an appropriate process according to the state of the living body is not executed quickly.

  The present invention has been made in view of the above problems, and its purpose is to monitor the physical condition of the measurement target (living body) and appropriately output the measurement result according to the measured state of the living body. It is to realize a biological monitoring device to be controlled.

  In order to solve the above problems, the living body monitoring apparatus of the present invention uses at least one biological signal information acquired from a living body to derive measurement result information indicating the state of the living body, and the living body monitoring means Output control means for controlling the notifying operation of one or more information output units for notifying the state of the living body indicated by the measurement result information derived by the measuring means, and the output control means is derived by the living body measuring means. According to the content of the measurement result information, the notification operation of the information output unit is controlled.

  According to the above configuration, the living body measuring unit can grasp the state of the living body by measuring the state of the measurement target (living body) and deriving the measurement result. Furthermore, the output operation control means can control the notification operation of the information output unit according to the state of the living body grasped based on the measurement by the living body measuring means, and can flexibly change this output control according to the situation. it can.

  As a result, the living body monitoring apparatus can monitor the living body condition and appropriately control the notification operation of the information output unit when notifying the grasped measurement result according to the living body condition. Play.

  The output control means includes, according to the content of the measurement result information, output destination selection means for selecting an information output unit for executing a notification operation related to the measurement result information, and each piece of information selected by the output destination selection means It is preferable to include output information selection means for selecting each output content to be notified to the output unit.

  More specifically, the living body measurement means analyzes the living body signal information to determine which state the living body belongs to in a predefined state, and has two or more values indicating the determined state Including state measurement means for outputting measurement result information including multi-value information, wherein the output destination selection means refers to an output destination determination table in which the information output unit is associated with each state determined by the state measurement means. The information output unit for executing the notification operation is selected, and the output information selection unit associates the output content for each state determined by the state measurement unit and for each output information output unit. It is preferable to select the output contents for each selected information output unit by referring to.

  According to the above configuration, the output destination selection means can select an output destination corresponding to the content of the measurement result information (determined biological state), and the output information selection means can select each of the selected output information. The output contents to be supplied to the output destination can be appropriately selected according to the contents of the measurement result information.

  As a result, appropriate output contents are supplied to an appropriate output destination in accordance with the state of the living body. As a result, the living body monitoring device can appropriately monitor the notification operation as to which information output unit notifies the grasped measurement result according to the state of the living body while monitoring the state of the living body. Has the effect of becoming.

  The state measuring means determines whether the state of the living body is the first state or the second state, and outputs measurement result information including binary information indicating the determined state. Good.

  Accordingly, appropriate output contents are supplied to an appropriate output destination depending on whether the state of the living body is the first state or the second state. As a result, the living body monitoring device watches the living body, and depending on the state of the living body (normal or abnormal, relaxed or excited state, etc.) to which information output unit the measured measurement result There is an effect that it is possible to appropriately control the notification operation of how to notify.

  Alternatively, the state measuring unit may determine a symptom or severity of the living body with respect to the state of the living body and output measurement result information including multi-value information indicating the determined state.

  As a result, it is possible to grasp in more detail the state of the living body, such as what symptoms the living body is developing or how serious the situation is in the living body. It becomes. And according to the state of the living body grasped in more detail, appropriate output contents are supplied to a more appropriate output destination.

  As a result, the living body monitoring apparatus watches the living body and responds to the diversified living body states in more detail with a notification operation as to which information output unit notifies the grasped measurement result. There is an effect that it becomes possible to control appropriately.

  The state measurement means may output measurement result information indicating the state of the living body related to the measurement item for each measurement item indicating what state of the living body is desired to be measured.

  According to the said structure, the said state measurement means implements the measurement along the designated measurement item, and outputs the measurement result information which shows the said biological body state regarding the said measurement item. That is, when a plurality of measurement items are designated, measurement result information is output for each of the measurement items. Therefore, the output operation control means controls the notification operation for each information output unit according to each measurement result information for each measurement item.

  Thereby, the information notified from the information output unit is information indicating the state of the living body for each measurement item. The user can grasp the state of the living body for each measurement item.

  For example, the measurement item is assumed to be an item for designating whether there is an abnormality in, for example, heart rate, respiratory rate, pulse rate, body temperature, or the like. In this case, according to the above configuration, the living body monitoring apparatus can grasp the state (normal / abnormal) of the living body for each measurement item of heart rate, respiratory rate,.

  Alternatively, the state measuring means determines the state of the living body related to the measurement item for each measurement item indicating what state of the living body is desired to be measured, and combines the state determined for each measurement item. Thus, one piece of measurement result information indicating the state of the living body may be output.

  According to the said structure, the said state measurement means each performs the measurement along the designated measurement item, and determines the state of the said biological body regarding the said measurement item. Subsequently, the state measurement unit outputs one measurement result information by combining the states of the living body determined for each measurement item. That is, when a plurality of measurement items are designated, the determination is first made for each of the measurement items, and they are combined to finally output one measurement result information indicating the state of the living body. Therefore, the output operation control means controls the notification operation for each information output unit according to one measurement result information obtained by integrating the measurement results of the respective measurement items.

  Thereby, the living body monitoring apparatus can grasp the state of the living body more accurately and in detail by integrating the determination results related to all measurement items. Therefore, the living body monitoring apparatus can execute more correct notification operation control according to the state of the living body determined in more detail and accurately.

  The information output unit is a display unit included in the device itself or an external device, and the output information selection unit is configured to display the biological signal information or a value obtained as a result of analyzing the biological signal information. It may be selected as the output content to be displayed.

  According to the above configuration, not only the state determined by the state measuring unit but also the biological signal information actually obtained from the living body or the value obtained as a result of analyzing the living body signal information can be presented to the user. It becomes.

  Thereby, the user can visually recognize the biological signal information or the value displayed on the display unit, and can grasp the state of the biological body in more detail and accurately.

  The output control means further includes output operation change means for designating timing for causing the information output unit to execute a notification operation according to the content of the measurement result information derived by the biometric measurement means, and the output operation change The means may start the control of the notification operation by the output control means only when the measurement result information indicating that the state of the living body is abnormal is continuously derived for a predetermined period by the biological measurement means. preferable.

  According to the said structure, an output operation change means controls the timing which alert | reports the measurement result of the implemented measurement to the said information output part. Specifically, the output operation changing unit does not cause the information output unit to perform the notification operation until an abnormal state of the living body is continuously detected for a predetermined period. And when the said abnormal condition is detected continuously for a predetermined period, it makes an information output part perform alerting | reporting operation for the first time.

  Thereby, when the abnormal state is detected erroneously, or when it is not a serious situation in the short-term abnormal state, an unnecessary abnormality notification operation can be suppressed. As a result, it is possible to realize a living body monitoring system that notifies the user of the state of the living body only in a truly serious situation.

  The state measuring means of the biological measuring means analyzes biological signal information of the living body acquired by a biological sensor attached to the living body, and the biological measuring means further includes attribute information of the biological sensor. In addition, an algorithm associated with attribute information of the biological sensor attached to the living body is selected and acquired from a measuring method storage unit that stores an algorithm that defines an analysis and determination procedure executed by the state measuring unit. Preferably, the state measuring unit includes an algorithm selecting unit, and the biological signal information is analyzed according to the algorithm selected by the algorithm selecting unit to determine the state of the biological unit.

  The living body measuring means further includes (1) a “mounting position” indicating where the living body sensor is mounted on the living body, and (2) a “measuring portion” indicating which part of the living body is to be measured by the living body sensor. And (3) including attribute information determination means for determining at least one of “measurement items” indicating what kind of state of the living body is to be measured by the biosensor as attribute information of the biosensor, The algorithm selection unit may select an algorithm associated with the attribute information determined by the attribute information determination unit from the measurement method storage unit.

  Thereby, even if there are few types of biosensors to be used (for example, it is fixed with one type of sound sensor), various algorithms can be used according to the biosensor attribute information (mounting position, measurement site, measurement item). Can be selected and executed to select the optimum algorithm to be executed. In other words, without using various biosensors in combination, various biometric functions can be realized according to the mounting position of the biosensor and the purpose of measurement, and measurement result information suitable for the purpose of measurement can be derived. . That is, the living body monitoring device can determine the state of the living body by selecting an appropriate algorithm according to the attribute information. As a result, it is possible to improve the accuracy of determination of the state of the living body and output measurement result information including various contents such as the severity of symptoms and the name of a disease, not just normal / abnormal binary values. It becomes possible.

  The biological measurement means may derive measurement result information indicating the state of the biological body using externally acquired information supplied from an information supply device or directly input to the own device in addition to the biological signal information. preferable.

  According to the above configuration, when measuring the state of the living body, the living body measuring unit uses the externally acquired information obtained from other than the living body to be measured, in addition to the biological signal information obtained from the living body, The measurement result information indicating can be derived.

  Thereby, the current state of the living body can be measured in consideration of the environment surrounding the living body, the original properties of the living body itself, and the like, so that the measurement accuracy can be improved.

  The externally acquired information is, for example, temperature, humidity, biological body age, sex, etc., and any information other than the biological signal information reflecting the physiological state of the biological body is assumed.

  In order to solve the above-described problem, the living body monitoring method of the present invention uses at least one biological signal information acquired from a living body to derive measurement result information indicating the state of the living body, and the living body monitoring step An output control step for controlling the notification operation of one or more information output units for notifying the state of the living body indicated by the measurement result information derived in the measurement step. In the output control step, the biological measurement step includes In accordance with the content of the measurement result information derived in this way, the notification operation of the information output unit is controlled.

  According to the above method, there is an effect that it is possible to appropriately control the notification operation of the information output unit when watching the state of the living body and notifying the grasped measurement result according to the state of the living body.

  The living body monitoring apparatus may be realized by a computer. In this case, a living body monitoring apparatus control program for causing the living body monitoring apparatus to be realized by a computer by operating the computer as each of the above means, and A computer-readable recording medium on which is recorded also falls within the scope of the present invention.

  In order to solve the above problems, the living body monitoring apparatus of the present invention uses at least one biological signal information acquired from a living body to derive measurement result information indicating the state of the living body, and the living body monitoring means Output control means for controlling the notifying operation of one or more information output units for notifying the state of the living body indicated by the measurement result information derived by the measuring means, and the output control means is derived by the living body measuring means. According to the content of the measurement result information, the notification operation of the information output unit is controlled.

  In order to solve the above-described problem, the living body monitoring method of the present invention uses at least one biological signal information acquired from a living body to derive measurement result information indicating the state of the living body, and the living body monitoring step An output control step for controlling the notification operation of one or more information output units for notifying the state of the living body indicated by the measurement result information derived in the measurement step. In the output control step, the biological measurement step includes In accordance with the content of the measurement result information derived in this way, the notification operation of the information output unit is controlled.

  Therefore, it is possible to appropriately control the measurement result notification operation according to the measured state of the living body.

It is a block diagram which shows the principal part structure of the biological monitoring apparatus in embodiment of this invention. It is the schematic which shows the structure of the biological monitoring system in embodiment of this invention. It is a figure which shows the specific example of the corresponding | compatible table which shows the corresponding | compatible relationship between attribute information and a state measurement algorithm memorize | stored in the measuring method memory | storage part of a biological monitoring apparatus. It is a figure which shows the specific example of a state measurement algorithm memorize | stored in a measurement method memory | storage part. It is a figure which shows the specific example of a state measurement algorithm memorize | stored in a measurement method memory | storage part. It is a figure which shows the other specific example of the corresponding | compatible table which shows the corresponding | compatible relationship between attribute information and a state measurement algorithm memorize | stored in a measurement method memory | storage part. It is a figure which shows the other specific example of the corresponding | compatible table which shows the corresponding | compatible relationship between attribute information and a state measurement algorithm memorize | stored in a measurement method memory | storage part. (A) And (b) is a figure which shows the waveform of the sound data extract | collected from the sound sensor in the case of a normal heart sound. (A) And (b) is a figure which shows the waveform of the sound data extract | collected from the sound sensor in the case of an abnormal heart sound. It is a figure which shows an example of the output destination determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 1. FIG. It is a figure which shows an example of the output content determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 1. FIG. It is a figure which shows an example of the output destination determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 2. It is a figure which shows an example of the output content determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 2. FIG. It is a figure which shows the principal part structure of the biological monitoring apparatus in other embodiment of this invention. The condition measurement part of the biological monitoring apparatus shows the condition table for comprehensively determining the state of a biological body. It is a figure which shows an example of the output destination determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 3. It is a figure which shows an example of the output content determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 3. It is a figure which shows an example of the output destination determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 4. It is a figure which shows an example of the output content determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 4. It is a figure which shows an example of the output destination determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 5. It is a figure which shows partially an example of the output content determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 5. It is a figure which shows a part of said output content determination table. The condition table for the state measurement part of the biological monitoring apparatus in Embodiment 6 to judge comprehensively the state of a player is shown. It is a figure which shows an example of the output destination determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 6. It is a figure which shows partially an example of the output content determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 6. It is a figure which shows a part of said output content determination table. It is a figure which shows a part of said output content determination table. It is a figure which shows an example of the output destination determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 7. It is a figure which shows partially an example of the output content determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 7. It is a figure which shows a part of said output content determination table. It is a figure which shows a part of said output content determination table. It is a figure which shows an example of the output operation change table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 7. It is a figure which shows an example of the output destination determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 8. It is a figure which shows an example of the output content determination table memorize | stored in the output method memory | storage part of the biological monitoring apparatus in Embodiment 8. 3 is a flowchart illustrating a processing flow of the biological monitoring apparatus according to the first embodiment.

Embodiment 1
Embodiment 1 of the present invention is described below with reference to FIGS.

  The living body monitoring apparatus of the present invention monitors a living body using measurement result information obtained by measuring the state of the living body. Measurement result information means that the biological monitoring device acquires biological signal information from a biological sensor that senses the state of the living body, and measures various states, symptoms, and degrees of the living body using biological parameters obtained therefrom. Is obtained.

  In the present embodiment, the living body monitoring apparatus of the present invention is intended to watch over the state of a human (hereinafter referred to as a subject) as an example of a living body. That is, the living body monitoring device senses the state of a human (subject) as an example of a living body and measures the state of the subject. Note that the living body monitoring apparatus of the present invention can also watch over animals other than humans (for example, dogs), obtain biological signal information of animals, and measure and monitor the state of animals.

  In the present embodiment, a case will be described in which the biological monitoring apparatus of the present invention is realized by a small information processing apparatus excellent in portability and portability. In this case, the biological monitoring apparatus may incorporate the biological sensor. Further, the living body monitoring device may communicate with a living body sensor separate from the own device in addition to or instead of the built-in living body sensor. Therefore, in the present embodiment, the biological signal information acquired by the biological sensor is supplied to the biological monitoring apparatus via an appropriate wireless or wired communication unit. However, the present invention is not limited to this, and the biometric apparatus of the present invention may be realized by a stationary information processing apparatus such as a personal computer.

[Biological monitoring system]
FIG. 2 is a schematic diagram showing the configuration of the biological monitoring system 100 in the embodiment of the present invention. The biological monitoring system 100 of the present invention includes at least one or more biological sensors (biological sensors such as 2a, 2b, and 3-5 shown in the figure), the biological monitoring device 1, and the information output device 110. Yes. As shown in FIG. 2, the biological monitoring system 100 may further include an information supply device 120.

The biological sensor is attached to a subject (living body) H, senses the state of the subject, and supplies the detected biological signal information d1 to the biological monitoring device 1. There may be at least one biosensor, but a plurality of biosensors may be provided as shown in FIG. In the example shown in FIG. 2, the biosensors include a sound sensor 2 (sound sensors 2 a and 2 b) that detects sound emitted by the subject, and a pulse oximeter that measures the subject's percutaneous arterial oxygen saturation (SpO ₂ ). 3, a pulse wave sensor 4 that detects the pulse wave of the subject, and a thermometer 5 that measures the body temperature of the subject. Furthermore, the biological monitoring apparatus 1 may include an acceleration sensor 6 that detects the movement (body movement) of the subject's body as a biological sensor.

Various sensors transmit the detected biological signal information (data such as sound, SpO ₂ , pulse wave, body temperature, acceleration, etc.) d1 to the biological monitoring apparatus 1.

  For example, the sound sensors 2a and 2b are close-contact type microphones that are attached to the body of a subject and detect sound generated by the subject. An adhesive layer is provided on the surface of the sound sensor 2, and the sound sensor 2 is attached to the body surface of the subject by the adhesive layer. The mounting position of the sound sensor 2 may be a location where the target sound can be effectively picked up. For example, for the purpose of detecting the breathing sound, coughing sound, etc. of the subject, the sound sensor 2 is mounted around the airway and chest. For the purpose of detecting the subject's heart sound, heart rate, etc., it is attached to the left chest (viewed from the subject), and for the purpose of detecting the subject's abdominal sound, it is attached to the abdomen.

  The sound sensor 2a transmits sound data of the detected breathing sound to the biological monitoring device 1 as biological signal information. The sound sensor 2b transmits sound data of the detected heart sound to the biological monitoring device 1 as biological signal information.

The pulse oximeter 3 includes LEDs that emit red light and infrared light, respectively, and the arterial blood oxygen saturation is calculated based on the amount of transmitted light generated as a result of the light emitted from these LEDs passing through the fingertip of the subject. measure. Further, the pulse rate may be measured. The pulse oximeter 3 transmits measurement data in which the measured SpO ₂ is associated with the measurement time to the biological monitoring apparatus 1 as biological signal information.

  Note that the type of biosensor attached to the subject is not limited to the above example, and any type of biosensor can be used as long as the physiological state appearing inside or outside the living body can be detected. 100 can be adopted.

  In this embodiment, each living body sensor includes a wireless communication unit, and can wirelessly communicate with the living body monitoring apparatus 1 or another living body sensor). As the wireless communication means, it is assumed that short-range wireless communication means such as Bluetooth (registered trademark) communication or WiFi communication is adopted and direct short-range wireless communication is performed with various devices. The wireless communication unit transmits biological signal information collected by the biological sensor to the biological monitoring device 1 or receives control data transmitted from the biological monitoring device 1. The control data is information for the biological monitoring device 1 to remotely control the start and end of measurement, setting of measurement conditions, and the like for each biological sensor.

  In addition, each biological sensor and the biological monitoring apparatus 1 may be wiredly connected via a cable. In this case, the biological sensor includes a wired communication unit that performs wired communication via a cable instead of the wireless communication unit. The wired communication unit executes transmission / reception of various information to / from the biological monitoring device 1 and the like via a cable.

  The biological monitoring device 1 measures the state of the subject based on the biological signal information acquired from the biological sensor, and executes a necessary operation according to the measured state of the subject. That is, the living body monitoring apparatus 1 has a living body measurement function for measuring the state of the subject and a living body monitoring function for executing a necessary operation according to the measurement result.

  The biological monitoring device 1 extracts one or a plurality of various information (biological parameters) related to the subject based on the biological signal information d1 acquired from each biological center. And the measurement result information d2 can be derived | led-out by processing the extracted biometric parameter based on various algorithms. The measurement result information d2 is supplied from the biological monitoring device 1 to the information output device 110. Furthermore, the biological signal information d1 itself obtained from the biological sensor may be supplied to the information output device 110.

  The biological monitoring apparatus 1 of the present invention stores various algorithms as a method for processing biological parameters. These various algorithms are prepared for each attribute information related to the biosensor. The attribute information is not intended to be limited to the following. For example, (1) where the biological sensor is worn on the body of the subject (hereinafter, the attribute information name is “wearing position”), (2) the biological sensor Which part of the subject's body is to be measured, that is, the purpose of the rough measurement (hereinafter, the attribute information name is “measurement part”), and (3) what state (specific symptom) of the subject with the biosensor , Medical condition), that is, the purpose of detailed measurement (hereinafter, attribute information name is “measurement item”).

  Therefore, the living body monitoring device 1 can be used according to the attribute information (mounting position, measurement site, measurement item) of the biosensor even if the type of biosensor used is small (for example, it is fixed by one type of sound sensor). By storing various algorithms, it is possible to select and execute the optimum algorithm to be executed. In other words, without using various biosensors in combination, various biometric functions can be realized according to the mounting position of the biosensor and the purpose of measurement, and measurement result information suitable for the purpose of measurement can be derived. . In other words, the biological monitoring device 1 can analyze the biological parameter by selecting an appropriate algorithm according to the attribute information. As a result, it is possible to improve the accuracy of the determination of the condition of the subject, and output measurement result information including various contents such as the severity of the symptom and the name of the disease, instead of just normal / abnormal binary values. It becomes possible.

  How the attribute information is determined in the biological monitoring apparatus 1 will be described in detail below. For example, attribute information d3 specified by the user is supplied from the information supply apparatus 120 to the biological monitoring apparatus 1. The form of being done is assumed. Alternatively, the configuration may be such that the user directly inputs the attribute information via the input operation unit of the biological monitoring apparatus 1.

  In the present embodiment, the biological monitoring apparatus 1 uses various parameters related to the subject including the biological parameters when executing the biological measurement function. For example, in order to improve the accuracy of the measurement result, the biological monitoring device 1 acquires the external acquisition information d4 acquired from a device other than the biological sensor (information supply device 120) and the external acquisition directly input to the biological monitoring device 1. Parameters can be extracted from the information and used.

  Here, a parameter obtained from biological signal information obtained from various biological sensors is referred to as a “biological parameter”, and a parameter obtained from the externally acquired information is referred to as an “external parameter”. Used when it is necessary to distinguish.

The biological parameter reflects the physiological state of the subject. The biological parameters are not limited to the following specific examples. For example, “volume” and “frequency distribution” acquired from sound data (biological signal information d1) detected by the sound sensor 2 are assumed. Furthermore, when the waveform is patterned, by analyzing the waveform pattern, the “interval”, “period”, “presence / absence”, “long / short”, “number of times”, etc. of the waveform are extracted as biological parameters. Also good. In addition, “SpO ₂ ” obtained from the pulse oximeter 3, “pulse rate” obtained from the pulse wave detected by the pulse wave sensor 4, “body temperature” obtained from the thermometer 5, etc. are extracted as biological parameters.

  The external parameter reflects the environmental condition outside the subject's body, while the biological parameter reflects the physiological state of the subject. Specific examples of the external parameter include, for example, the specification information of the biosensor (version information, what kind of information can be detected, etc.), and the mounting position of the biosensor (the chest, abdomen, back, near the airway) Etc.), subject information on the subject (age, sex, sleep time, last meal time, exercise amount, past disease history, etc.) and measurement environment (temperature, pressure, humidity, etc.) in which the subject is placed However, the present invention is not limited to this.

  The living body monitoring device 1 can realize more accurate determination suitable for the purpose of measurement by deriving measurement result information by appropriately combining the external parameters with the external parameters.

  When the biological monitoring apparatus 1 performs the biological measurement function, processes the biological signal information, and derives the measurement result information, the biological monitoring apparatus 1 performs the biological monitoring function using the measurement result information, and appropriately matches the condition of the subject. Perform the correct operation. The living body monitoring device 1 of the present invention performs necessary control so that the output operation when the state of the subject is output to the information output device 110 is appropriately executed.

  The information output device 110 is an output destination device from which the biological monitoring device 1 outputs information. In the biological monitoring system 100 of the present embodiment, the information output device 110 can receive the biological signal information d1 or the measurement result information d2 output from the biological monitoring device 1 and output the information from the own device. Any device may be used as long as it has the function. For example, the information output device 110 includes a notebook personal computer 111, a mobile phone 112, a mobile terminal device 113 such as a PDA (Personal Digital Assistant), a speaker 114, a telephone 115, a monitor device 116, and a light emitting device 117 such as an LED (Light Emitting Diode). Etc. However, the device applied as the information output device 110 is not limited to the above example.

  The information supply device 120 is a supply source device that supplies information to the biological monitoring device 1. In the biological monitoring system 100 of the present embodiment, the information supply device 120 stores the attribute information d3 or the externally acquired information d4 or acquires the information by receiving user input, and acquires these pieces of information from the biological monitoring device 1. Any device can be used as long as it can transmit to. For example, the information supply device 120 is realized by the server device 121, the notebook computer 111, the mobile phone 112, the mobile terminal device 113, and the like. However, the apparatus applied as the information supply apparatus 120 is not limited to the above example.

  Note that one device may function as both the information output device 110 and the information supply device 120, such as the notebook computer 111, the mobile phone 112, and the mobile terminal device 113 described above.

  Next, the configuration of the above-described biological monitoring apparatus 1 will be described in more detail. First, the configuration of the biological monitoring apparatus 1 for realizing the biological monitoring function will be described, and later, the configuration of the biological monitoring apparatus 1 for realizing the biological monitoring function will be described.

[Configuration of biological monitoring device 1 (biological measurement function)]
FIG. 1 is a block diagram showing a main configuration of a biological monitoring apparatus 1 according to an embodiment of the present invention.

  As shown in FIG. 1, the living body monitoring apparatus 1 according to the present embodiment includes a control unit 10, a storage unit 11, a sensor communication unit 12, an input operation unit 13, a communication unit 14, and an output unit 15. In addition, the biological monitoring device 1 includes a power supply unit (not shown) that supplies power to the circuits of the above-described units. As described above, the biological monitoring apparatus 1 may further include the acceleration sensor 6.

  The sensor communication unit 12 communicates with various biological sensors (sound sensor 2, pulse oximeter 3, pulse wave sensor 4, thermometer 5, etc.) provided separately from the biological monitoring device 1. In the present embodiment, as an example, the sensor communication unit 12 is realized by wireless communication means. As the wireless communication means, short-range wireless communication means such as Bluetooth (registered trademark) communication or WiFi communication is adopted, and it is assumed that each biological center and the biological monitoring apparatus 1 directly perform short-range wireless communication. Further, an area network limited to the periphery of the body may be constructed, and the biological monitoring device 1 and the biological sensor may perform wireless communication via the area network.

  Note that the sensor communication unit 12 of the biological monitoring apparatus 1 may realize communication with the biological sensor by wired communication means. However, it is preferable that the communication between the biological sensor and the biological monitoring device 1 is realized wirelessly. This is because wireless communication makes it easy to attach the biosensor to the subject, reduces restrictions on the behavior of the subject in the measurement environment, and reduces the stress and burden on the subject.

  The input operation unit 13 is for a user (including the subject himself or an operator who performs measurement) to input an instruction signal to the biological monitoring device 1. When the biological monitoring apparatus 1 is realized by a small information processing apparatus as shown in FIG. 2, the input operation unit 13 includes several buttons (cross key, determination key, character input key, etc.), a touch panel. , A touch sensor, or an appropriate input device such as a voice input unit and a voice recognition unit. When the biological monitoring device 1 is realized by a stationary information processing device, the input operation unit 13 includes a plurality of buttons (cross key, determination key, character input key) in addition to the above-described input device. An input device such as a keyboard and a mouse may be employed. In the present embodiment, the user may use the input operation unit 13 to input a measurement start or end instruction, or to select attribute information such as a biosensor mounting position, a measurement site, or a measurement item. it can. Further, the user may directly input information necessary for measurement into the biological monitoring apparatus 1 using the input operation unit 13. For example, external parameters such as the subject's age, sex, average sleep time, sleep time on the measurement date, latest meal time, meal content, and exercise amount are input to the biological monitoring apparatus 1.

  The communication unit 14 communicates with external devices such as the information output device 110 and the information supply device 120. In the present embodiment, for example, the communication unit 14 communicates with an external device via a wireless access point and a wide area communication network. For example, the biological monitoring device 1 may receive externally acquired information for obtaining an external parameter used for measuring a biological state from the information supply device 120 via the communication unit 14. Here, as external acquisition information acquired by the communication unit 14, weather, temperature, atmospheric pressure, humidity of a specific day, a specific area, specification information of each biosensor to be used, and the like are assumed. For example, by referring to the specification information, the biological monitoring device 1 determines which biological sensor should be used according to which measurement item, or uses a plurality of biological sensors at the same time. It is possible to grasp the combination conditions and contraindications. Alternatively, the communication unit 14 may accept designation of attribute information from the information supply device 120. Note that the communication unit 14 may be employed as any of a wireless communication unit and a wired communication unit, and an optimum unit is appropriately employed according to the embodiment of the biological monitoring system 100. In the present embodiment, wireless communication means that is advantageous in terms of not limiting the action range of the subject and the degree of freedom in designing the biological monitoring system 100 is employed.

  The output unit 15 outputs measurement result information of the biological measurement performed by the biological monitoring apparatus 1 to the outside. As an output method, when the output unit 15 is composed of a display device such as an LCD (liquid crystal display), the measurement result information is displayed to the user by displaying characters, symbols, figures, pictures, still images, moving images, and the like. Can be provided. Or when the output part 15 is comprised with audio | voice output apparatuses, such as a speaker, a sound, a sound effect, music, etc. can be reproduced | regenerated and a measurement result information can be provided to a user. Or when the output part 15 is comprised with light-emitting devices, such as LED, a measurement result information can be provided to a user by changing a luminescent color, a light emission pattern (lighting, extinguishing, blinking), etc. .

  The control unit 10 performs overall control of each unit included in the living body monitoring apparatus 1, and includes an attribute information determination unit 21, an algorithm selection unit 22, and a state measurement unit 23 as functional blocks. These functional blocks as a whole function as a biological measurement unit 20 for realizing the biological measurement function of the biological monitoring device 1. The output operation control unit 30 corresponding to the biological monitoring function of the biological monitoring device 1 and each functional block thereof will be described in detail later.

  Each functional block shown in the control unit 10 includes a storage device (storage unit 11) in which a central processing unit (CPU) is realized by a read only memory (ROM), a non-volatile random access memory (NVRAM), or the like. This can be realized by reading the program stored in the RAM into a RAM (random access memory) (not shown) and executing it.

  The storage unit 11 includes (1) a control program executed by the control unit 10, (2) an OS program, (3) an application program for the control unit 10 to execute each function of the biological monitoring device 1, and ( 4) Stores various data read when the application program is executed. Especially the memory | storage part 11 memorize | stores the various programs and data read when performing the measurement process which the biological monitoring apparatus 1 performs. Specifically, the storage unit 11 includes at least a measurement method storage unit 40.

  The biological monitoring device 1 includes a temporary storage unit (not shown). The temporary storage unit is a so-called working memory that temporarily stores data used for calculation, calculation results, and the like in the course of various processes executed by the biological monitoring apparatus 1, and includes a RAM or the like.

  The attribute information determination part 21 determines the attribute information of the biosensor used in living body state measurement. In the present embodiment, a configuration in which an attribute information input screen is displayed on the display unit of the information supply apparatus 120 and the user selects is conceivable. The attribute information determination unit 21 receives the attribute information selected by the user from the information supply device 120 via the communication unit 14, and based on the received content, the mounting position and the measurement site (and measurement) specified by the user Item). The user may input attribute information directly into the biological monitoring apparatus 1 using the input operation unit 13.

  For example, the user can designate the mounting position of each biosensor by operating the mouse of the information supply device 120 and clicking a desired mounting position among the displayed mounting positions. When the mounting position is designated in this way, the attribute information determination unit 21 determines the mounting position (for example, “front-chest-upper left”) corresponding to the position clicked by the user as the attribute information “mounting position”. To do. Note that the attribute information determination unit 21 may display all the assumed mounting positions as candidates as a list and allow the user to select them. Similarly, the attribute information determination unit 21 can determine the option selected by the user as the attribute information “measurement site” and “measurement item”. Specifically, for the purpose of measurement, the user can vaguely select a measurement site such as “heart sound”, “breathing sound”, “blood flow sound”, “abdominal sound”, “fetal heart sound”, etc. In addition, a specific disease name (measurement item) can be selected in more detail.

  The attribute information determination unit 21 transmits the attribute information determined as described above to the algorithm selection unit 22.

  The algorithm selection unit 22 selects a plurality of algorithms to be executed by the state measurement unit 23 of the biological monitoring device 1 according to the attribute information determined by the attribute information determination unit 21. In the measurement method storage unit 40, various algorithms are stored in association with attribute information for processing for measuring the state of a living body. The algorithm selection unit 22 refers to the measurement method storage unit 40 and selects an algorithm to be executed by the state measurement unit 23 based on the determined attribute information.

  The state measurement unit 23 analyzes biological signal information obtained from the biological sensor, extracts biological parameters, and measures the state of the biological body based on the calculation result obtained by processing the extracted biological parameters. The state measurement unit 23 executes this series of processes according to the algorithm selected by the algorithm selection unit 22. The measurement result information derived by executing this algorithm is transmitted from the state measurement unit 23 to the output operation control unit 30.

[Specific example of status measurement processing]
Next, the state measurement process executed by each unit of the biological measurement unit 20 will be described in more detail based on a specific example of the state measurement algorithm.

(Specific example 1)
This specific example is an example in which accurate state measurement suitable for various measurement items is realized by selecting an appropriate algorithm according to the designated “measurement item”.

  FIG. 3 is a diagram showing a specific example of a correspondence table indicating the correspondence relationship between the attribute information and the state measurement algorithm stored in the measurement method storage unit 40.

  As shown in FIG. 3, a state measurement algorithm is stored in association with each piece of attribute information “measurement item” representing the measurement content that can be performed by the biological monitoring apparatus 1.

  According to the data structure, when the “measurement item” is determined, an optimum state measurement algorithm for performing the measurement is specified. For example, when the user designates “measurement item: apnea degree”, the attribute information determination unit 21 determines the measurement item as “apnea degree”. Then, the algorithm selection unit 22 refers to the correspondence table shown in FIG. 3 and selects an “apnea level calculation algorithm” corresponding to the determined “measurement item: apnea level”.

  Furthermore, as shown in FIG. 3, attribute information “mounting position” indicating where the biometric sensor should be mounted may be stored in association with each measurement item. According to the above data structure, when the “measurement item” is determined, the attribute information determination unit 21 can further determine the “mounting position” of the biometric sensor corresponding to the “measurement item”. The information of “attachment position” determined by the attribute information determination unit 21 may be presented to the user as a recommended position where the biometric sensor should be attached.

  (A)-(e) of FIG. 4 is a figure which shows the specific example of the state measurement algorithm (apnea degree calculation algorithm) corresponding to "measurement item: apnea degree". In the example shown in the figure, the state measurement algorithm is represented in a table format, but this is an example and there is no intention to limit the present invention.

  Sleep apnea syndrome is a symptom of falling into apnea or hypopnea frequently during sleep. As a guideline for judging an apnea state, the airflow in the mouth and nose is stopped for 10 seconds or more, and as a guideline for judging a hypopnea state, the ventilation volume is reduced by 50% or more for 10 seconds or more. Conceivable.

In order to detect such apnea and hypopnea conditions, the brain wave, electrooculogram, sleep stage by the gluteal EMG, mouth / nose airflow, respiratory pattern by chest / abdominal movement, pulse oximeter It is conceivable to analyze percutaneous arterial oxygen saturation (SpO ₂ ).

Therefore, in the present embodiment, the determination of apnea is as follows: presence or absence of breathing (number of times breathing stops for 10 seconds or more), volume of breathing sound, length of breathing (time length of expiration and inspiration), per unit time The respiratory rate and SpO ₂ parameters were used. The “apnea level” in the present embodiment indicates that the higher the value, the higher the possibility of sleep apnea syndrome. In addition, the example of the parameter used for determination of apnea degree is an example, and is not limited to the example mentioned above. For example, a pulse rate parameter may be used.

  In the table shown in FIG. 4A, the field name “parameter” stores information for designating a parameter used for measuring “measurement item: apnea degree”. The field name “parameter type” specifies whether the parameter is an essential parameter (essential parameter) or an auxiliary parameter (auxiliary parameter) for the purpose of improving accuracy in the measurement. Information is stored. In the field name “sensor”, information indicating which biological sensor the biological signal information should be extracted from is stored.

That is, when the apnea calculation algorithm is selected, the state measurement unit 23 determines whether the waveform (breathing) is present, (breathing) volume, the waveform (breathing) length, the waveform (in accordance with the table shown in FIG. It will be appreciated that the (breathing) number parameter should be utilized as an essential parameter, and optionally SpO ₂ and heart rate auxiliary parameters may be used.

  Then, the state measuring unit 23 extracts the essential parameters from the respiratory sound data collected from the vicinity of the airway by the sound sensor 2a, and the biological signal information output from the pulse oximeter 3 and the pulse wave sensor 4 respectively. From the above, the auxiliary parameters are extracted.

  In the table shown in FIG. 4A, the “IF value” field stores three conditions for each extracted parameter. Each of these three conditions is associated with “THEN value”, that is, three levels of a normal value, a caution value, and an abnormal value. Accordingly, a three-stage evaluation of a normal value, a caution value, and an abnormal value can be output for each parameter depending on what value the parameter has.

  For example, when the state measurement unit 23 analyzes the sound data of the sound sensor 2a and extracts a parameter whose number of breaths per unit time is “7 times”, “parameter: number of waveforms (breathing)” , Output an evaluation of “Needs Caution”.

  The table shown in FIG. 4B shows score information for assigning a score corresponding to the evaluation to the parameters evaluated in three stages. According to the score information shown in the table, the state measurement unit 23 evaluated the essential parameters as 0 for the parameters evaluated as “normal”, 1 for the parameters evaluated as “attention required”, and “abnormal”. A score of 2 is assigned to the parameter. In other words, in the present embodiment, the greater the number of abnormal items related to apnea for essential parameters, the higher the total score. For auxiliary parameters, scores of 0, 0, and 1 are assigned to the parameters of “normal”, “attention required”, and “abnormal”, respectively.

  Furthermore, the state measurement algorithm may include a table shown in FIG. The table shown in FIG. 4C shows weighting information to be given to the score obtained for each parameter. The weight is stored in association with each parameter. A large weighting value indicates that the parameter is information that is more important and important in calculating the index.

  In the example shown in (c) of FIG. 4, the presence / absence of a waveform (breathing) indicating “the number of times breathing stops for 10 seconds or more” is the most important information to be considered in calculating the apnea degree. The weight is defined as “4”. The state measurement unit 23 obtains “score × weighting value = final score” for the scores obtained for all parameters.

  As shown in (d) of FIG. 4, the apnea degree calculation algorithm includes a calculation formula for calculating the index “apnea degree” based on the score of each parameter. The calculation formula of (d) in FIG. 4 is an example and is not intended to limit the present invention. According to the calculation formula shown in (d) of FIG. 4, the state measurement unit 23 calculates the apnea degree by summing the final scores of the respective parameters.

  Further, as shown in FIG. 4E, the apnea calculation algorithm stores determination criterion information for determining the state of the subject regarding the index “apnea”.

  As shown in FIG. 4E, in the determination criterion information table, state determination results to be determined are associated with each other according to the calculated apnea value. The state measurement unit 23 determines the state related to the apnea of the subject according to the determination criterion information illustrated in FIG. For example, when the apnea degree is calculated as “3”, the state measurement unit 23 determines that the state relating to the apnea of the subject is “normal”.

  Note that information defining a method for displaying the state determination result may be associated with the determination criterion information table. In the example shown in FIG. 4E, for example, the display “green” is associated with the state determination result “normal”. This means that the state determination result is displayed in green letters or output to a green lamp (light emitting device 117). As described above, the state determination result is color-coded and output, so that the user can more intuitively understand the state determination result.

  (A)-(e) of FIG. 5 is a figure which shows the specific example of the state measurement algorithm (cardiac activity calculation algorithm) corresponding to "measurement item: cardiac monitoring". The “heart activity” in the present embodiment indicates that the higher the value, the more unstable and abnormal the heart activity. Based on the various types of information of (a) to (e) of FIG. 5, the calculation procedure of the cardiac activity and the state determination procedure performed by the state measurement unit 23 are shown in (a) to (e) of FIG. The procedure is the same except that the parameters and thresholds to be used are different from those of the procedure based on it. Therefore, description is not repeated here.

  According to the above structure, when the attribute information “measurement item” is determined, the biological monitoring apparatus 1 grasps parameters necessary for the measurement and recognizes from which biological sensor the biological information signal should be acquired. be able to. Further, since the state measurement algorithm optimal for the measurement is selected according to the “measurement item” and the state measurement is performed, it is expected that the accuracy of the derived measurement result information is improved.

(Specific example 2)
This specific example is an example in which an optimal algorithm is prepared in detail for each “mounting position”, “measurement site”, and “measurement item”. Here, according to the designated “mounting position”, “measurement site”, and “measurement item”, an optimal algorithm for the measurement is selected from a number of algorithms. When implemented, the measurement accuracy can be significantly improved.

  FIG. 6 is a diagram illustrating a specific example of a correspondence table indicating the correspondence relationship between the attribute information (mounting position and measurement site) and the state measurement algorithm stored in the measurement method storage unit 40. FIG. 7 is a diagram illustrating a specific example of a correspondence table stored in the measurement method storage unit 40 and indicating a correspondence relationship between attribute information (measurement item) and a state measurement algorithm. In the example shown in FIGS. 6 and 7, the information indicating the correspondence relationship is held as a correspondence table in a table format, but any data structure may be used as long as the correspondence relationship is maintained.

  In the correspondence table shown in FIG. 6, an algorithm set is associated with each “attachment position” and “measurement site”. In the example shown in FIG. 6, as an example, there are 27 mounting position variations and 5 measurement site variations, and therefore 27 × 5 = 135 algorithms are prepared in advance. The correspondence table shown in FIG. 7 is associated with each of the 135 algorithm sets. In the correspondence table illustrated in FIG. 7, the state measurement algorithm is further classified and associated with each “measurement item”.

  The algorithm selection unit 22 selects an algorithm set from the correspondence table shown in FIG. 6 based on the “mounting position” and “measurement site” determined by the attribute information determination unit 21. For example, when the attribute information is determined as “wearing position: front-chest-upper left” and “measurement site: heart sound”, the algorithm selection unit 22 refers to the correspondence table shown in FIG. select.

  The correspondence table shown in FIG. 7 stores the selected algorithm set of A3. As shown in FIG. 7, several A3 state measurement algorithms are prepared for each “measurement item”. Therefore, the algorithm selection unit 22 selects a corresponding state measurement algorithm based on the determined “measurement item”. For example, when “mitral valve opening sound (disease name: mitral insufficiency)” is selected by the user as “measurement item”, the algorithm selection unit 22 stores A3 stored in the correspondence table of FIG. The corresponding A3-1 algorithm, that is, the mitral regurgitation evaluation algorithm is selected from among the state measurement algorithms. The mitral regurgitation evaluation algorithm selected here analyzes the sound data of “heart sound” obtained from the sound sensor attached to the “front-chest-upper left” of the subject, It is the most suitable algorithm for determining whether or not it is “closed failure”. The mitral regurgitation evaluation algorithm includes, for example, an evaluation function “f1 (x)” for evaluating a biological parameter, a threshold value “6” used for determination, and the like. The algorithm selection unit 22 transmits the selected A3-1 algorithm to the state measurement unit 23.

  According to the above configuration, even in the algorithm A3 that evaluates the same heart sound, the state measurement algorithm is provided with different algorithms that are further subdivided for each characteristic (measurement item or target disease) of the heart noise. ing. For this reason, the state measurement unit 23 can perform detailed evaluation for each of various diseases based on the sound data acquired from one type of sound sensor 2, and greatly improve the accuracy of measurement. Is possible.

  Next, the measurement operation of the state measurement unit 23 when the A3-1 mitral regurgitation evaluation algorithm shown in FIG. 7 is selected will be described with reference to FIGS.

  FIGS. 8A and 8B are diagrams showing waveforms of sound data collected from a sound sensor in the case of a normal heart sound. More specifically, FIG. 8 (a) shows a waveform for 10 seconds, and FIG. 8 (b) enlarges a waveform for 1 second with a relative elapsed time from 4 seconds to 5 seconds. Shows what In the figure, (1) shows the waveform of the heart sound I, and (2) shows the waveform of the II sound.

  FIGS. 9A and 9B are diagrams showing waveforms of sound data collected from the sound sensor in the case of an abnormal heart sound. More specifically, FIG. 9 (a) shows a waveform for 10 seconds, and FIG. 9 (b) enlarges a waveform for 1 second with a relative elapsed time from 4 seconds to 5 seconds. Shows what In the figure, (1) shows the waveform of the heart sound I, and (2) shows the waveform of the II sound.

  The waveform of the sound data shown in FIG. 9 has a relatively loud signal sound N such as noise between the I sound and the II sound compared to the waveform of the normal heart sound shown in FIG. In conclusion, the waveform shown in FIG. 9 is one of the typical examples of abnormal heart sounds, specifically, mitral regurgitation (the mitral valve between the left atrium and the left ventricle of the heart). Fig. 6 shows an example of a subject's heart sound waveform (with incomplete closure).

  Here, the state measurement algorithm selected by the algorithm selection unit 22 is the A3-1 mitral regurgitation evaluation algorithm as described above. This mitral regurgitation evaluation algorithm includes an evaluation function “f1 (x)” and a threshold value “6”.

  Therefore, the state measurement unit 23 includes the following equation included in the selected state measurement algorithm.

The function f1 (x) shown as (Formula 1) is calculated.

  Specifically, first, as shown in FIG. 9B, the state measurement unit 23 sets A (x) as a sound data string including sound data of at least one cycle of the heartbeat, and in A (x) The interval Δt is obtained by removing 25% each before and after the time interval T from the I sound to the II sound. Then, the state measuring unit 23 calculates the signal power of the sound data string A (x) in this section Δt using the above equation 1. When f1 (x) is obtained for the sound data shown in FIG. 9 according to the above equation 1, it is 12.6.

  The state measurement algorithm includes a determination condition for determining that there is an abnormality of mitral regurgitation when the value of f1 (x) is greater than or equal to the threshold value 6, and for determining that there is no abnormality when the value is less than the threshold value 6. ing.

  Therefore, the state measurement unit 23 compares f1 (x) = 12.6 obtained above with the threshold 6 and determines that f1 (x) ≧ 6. Based on this determination, the state measurement unit 23 measures that the state of the subject who collected the sound data shown in FIG. 9 is “abnormal heart sound, especially suspicion of mitral regurgitation”. The measurement result information derived by the state measurement unit 23 is supplied to the output operation control unit 30. Then, under the control of the output operation control unit 30, the measurement result information is output to the output unit 15 of the own device or transmitted to the information output device 110, and then presented to the user.

  The evaluation function and threshold described above are just one example of a state measurement algorithm, in particular a mitral regurgitation evaluation algorithm. The state measurement algorithm is not limited to this, and includes any mathematical expression and value for detecting a target disease or symptom. These state measurement algorithms are appropriately determined from medical knowledge and experience.

  According to the above-described structure, when the attribute information is designated together with the measurement start instruction, the biological monitoring device 1 selects an algorithm most suitable for the designated attribute information, and the biological sensor detects the biological information from the biological sensor according to the selected algorithm. The information signal can be processed and measurement result information can be derived.

  Therefore, even if the types of biosensors are limited, there are many variations in measurement methods, and measurement is performed by an optimum method according to attribute information. Therefore, improvement in accuracy of derived measurement result information can be expected.

(Specific example 3)
In the specific example 2 described above, in the measurement start preparation stage, the user specifies attribute information, that is, “attachment position”, “measurement part”, and “measurement item”, so that the attribute information determination unit 21 sets the attribute information. It was a configuration to decide. The above configuration of specific example 2 is a configuration that is particularly effective for a user who has a clear measurement purpose (measurement site or measurement item) and has a certain degree of knowledge about the measurement method (mounting position) for that purpose. I can say that.

  In this specific example, after receiving an input about the purpose of measurement from the user, the biological monitoring device 1 identifies the mounting position of the sound sensor 2 and presents the user with an effective mounting position according to the purpose of measurement. It has the composition to do. Therefore, although the configuration of this specific example has a clear measurement purpose, it can be said that the configuration is effective even for a user who does not have knowledge about the measurement method (mounting position).

  In this specific example, the measurement method storage unit 40 of the biological monitoring device 1 further stores mounting position information. The mounting position information is information in which optimum mounting position information is associated with each measurement purpose (measurement site or measurement item). Upon receiving designation of “measurement site” and “measurement item” as the purpose of measurement from the user, the attribute information determination unit 21 refers to the mounting position information stored in the measurement method storage unit 40 and designates “ The “mounting position” associated with the “measurement site” and “measurement item” is specified, and this is determined as the “mounting position” of the biosensor in the measurement.

  The determined “mounting position” information is preferably presented to the user via the output unit 15. Thus, the user can attach the biosensor to an appropriate position on the subject's body at the time of measurement to be performed.

  Thus, based on the finally determined “mounting position”, “measurement site”, and “measurement item”, an algorithm is selected in the same manner as in the second specific example, and the state of the subject is measured.

  According to the above configuration, the target sound (measurement site) and disease (measurement item) that the user wants to measure are clear, but the effective mounting position is sufficient even if the knowledge about the measurement method (mounting position) is not sufficient. Can be measured by receiving notification from the living body monitoring apparatus 1. Furthermore, it is preferable that the biological monitoring apparatus 1 displays an essential mounting position and measurement guidance. Thereby, since the knowledge for measurement can be supplemented for the user, it is possible to realize the biological monitoring device 1 that is highly convenient for a user with little knowledge.

(Specific example 4)
In specific example 3 described above, in the measurement start preparation stage, the user designates “measurement site” and “measurement item” as attribute information, so that candidates for “mounting positions” are narrowed down to some extent and selected by the user. Or the attribute information determination unit 21 determines the attribute information by being uniquely specified. The above-described configuration of the specific example 3 can be said to be a particularly effective configuration for a user who has a clear measurement purpose but does not have knowledge about the measurement method.

  In this specific example, the user first attaches a biological sensor (sound sensor 2) to the subject without inputting any attribute information. In this specific example, a biosensor may be appropriately mounted around the desired measurement site. Here, a configuration for specifying the attribute information “attachment position” and “measurement site” based on sound data acquired from the attached biological sensor will be described. Therefore, it can be said that the configuration of Example 4 is an effective configuration for a user who does not have knowledge about the details although the purpose of the rough measurement and the rough mounting position are clear. Further, since detailed manual input operation for specifying attribute information is not required, user operation in the measurement start preparation stage can be further simplified.

  In this specific example, the measurement method storage unit 40 of the biological monitoring apparatus 1 further stores a sound source database. In the sound source database, for each attribute information “mounting position”, a sample of sound data collected by the sound sensor 2 mounted at the mounting position is stored in association with each other.

  The attribute information determination unit 21 compares the sound data from the sound sensor 2 mounted at an appropriate position on the subject's body for the time being with the sample sound data stored in the sound source database, and specifies the most similar sample sound data. Then, by specifying which mounting position the sound source is that of, the “mounting position” in the measurement is determined.

  In addition, the attribute information determination unit 21 analyzes the sound data of the subject and specifies which “measurement site” of the subject includes the sound. For example, the frequency distribution of the sound data of the sample is stored in advance in the measurement method storage unit 40 for each piece of attribute information “measurement site”. The attribute information determination unit 21 compares the frequency spectrum of the acquired sound data of the subject with the frequency spectrum of the sample stored in advance, and the frequency spectrum that best matches the frequency distribution of which part of the sound data And the site at this time is determined as the “measurement site” in the measurement.

  Thus, the algorithm is selected based on the finally determined “mounting position” and “measurement site”, and the state measurement of the subject is performed. Here, the “measurement item” is not specified, but in this case, the state measurement unit 23 may execute all the algorithm sets selected based on the “mounting position” and the “measurement site”. Alternatively, the attribute information determination unit 21 determines “measurement items” by narrowing down “measurement items” that belong to a lower level of the specified “measurement part” and presenting and selecting candidates for “measurement items”. Also good. For example, when “measurement site: heart sound” is specified, the attribute information determination unit 21 presents measurement items regarding a disease (such as a heart disease) that can be determined by diagnosing the heart sound as candidates.

  According to the above configuration, the user can enjoy the convenience that “it can be mounted and measured for the time being” without deep consideration. In addition, when one sound sensor is used for measurement related to a plurality of target sounds and a plurality of diseases, generally, a user needs to request a lot of knowledge about a wearing place for each disease. Therefore, it is possible to estimate a sound source or a disease that the user wants to be measured based on the collected sound data and display candidates. Therefore, the user's prior knowledge is abolished, which is highly convenient for the user. The living body monitoring apparatus 1 can be realized.

  Next, the configuration of the biological monitoring apparatus 1 that realizes the biological monitoring function will be described. In the first embodiment, a case where the biological monitoring system 100 of the present invention is constructed as a marathon player watching system for monitoring athletes participating in a marathon competition will be described as an example. This specific example is intended to facilitate understanding of the present invention, and is not intended to limit the configuration of the biological monitoring device 1 and the biological monitoring system 100 of the present invention.

[Outline of Marathon Player Watching System]
In the marathon player monitoring system (biological monitoring system 100) in the first embodiment, the subject H in FIG. 2 is a large number of players participating in the marathon competition. Referring to FIG. 2, the marathon player watching system according to the present embodiment includes a sound sensor 2 b as a biological sensor attached to each player H, a living body monitoring device 1 that each player H is equipped with, and an information output device 110. It is configured to include.

  As shown in FIG. 2, in this embodiment, the sound sensor 2b is worn around the left chest of the player H, acquires the heart sound of the player H, and supplies the sound data of the heart sound as the biological signal information d1 to the biological monitoring device 1. To do.

  The biological measurement unit 20 of the biological monitoring apparatus 1 analyzes the biological signal information d1 received from the sound sensor 2b and measures the state of the player H. The output operation control unit 30 of the biological monitoring apparatus 1 is The output operation is appropriately controlled according to the derived measurement result information d2.

  In the present embodiment, the biological monitoring apparatus 1 includes a blue LED, a red LED, and a speaker as an example of the output unit 15 illustrated in FIG.

  In the present embodiment, the information output device 110 includes a monitor device 116 installed at a tournament headquarters that hosts a marathon tournament provided in a stadium, and a speaker 114. The monitor device 116 and the speaker 114 have a function of performing wireless communication with the biological monitoring device 1.

  Each of the output unit 15 and the information output device 110 described above performs a notification operation regarding the state of the player H in accordance with the output control performed by the output operation control unit 30 of the biological monitoring device 1.

  Here, the operation of the biological measurement unit 20 in the first embodiment will be described. First, the biological measurement unit 20 acquires sound data of heart sounds from the sound sensor 2b attached to the left chest of the player H. The attribute information determination unit 21 determines in advance the attribute information “measurement item” as “exercise heart rate”. “Measurement item: heart rate during exercise” is the condition of the heart rate of the athlete H who is the subject compared to the normal heart rate when a healthy person is doing aerobic exercise such as marathon. It is specified to measure whether there is any. Based on the above “measurement item: heart rate during exercise”, the algorithm selection unit 22 selects an optimal algorithm for measuring the state of the heart rate during running of the player H, and hands it over to the state measurement unit 23. The state measuring unit 23 detects the heart rate of the player H according to the selected algorithm, and determines whether the heart rate of the player H is in a normal state satisfying the reference value or higher than the reference value. judge. In the present embodiment, the former state is referred to as “state A (= heart rate normal)”, and the latter state is referred to as “state B (= abnormal heart rate)”. The state measurement unit 23 supplies measurement result information d2 indicating “state A” or “state B” to the output operation control unit 30.

[Configuration of biological monitoring device 1 (biological monitoring function)]
Next, the configuration of the biological monitoring apparatus 1 that realizes the biological monitoring function will be described with reference to FIG. The biological monitoring function is a function for controlling the output operation of the measurement result information according to the measurement result information derived by the biological measurement function of the biological monitoring device 1 based on the above-described configuration and procedure. This is executed by the unit 30.

  As shown in FIG. 1, the control unit 10 further includes at least an output destination selection unit 31 and an output information selection unit 32 as functional blocks. These functional blocks as a whole function as the output operation control unit 30 for realizing the biological monitoring function of the biological monitoring apparatus 1.

  The output destination selection unit 31 selects the output destination of the measurement result based on the content of the measurement result information d2 output from the state measurement unit 23. In the present embodiment, as output destinations, there are a blue LED, a red LED, and a speaker provided in the main body of the biological monitoring apparatus 1, and a monitor device 116 and a speaker 114 installed in the tournament headquarters. The output destination selection unit 31 selects a partner to output the measurement result from among these output destinations.

  The output information selection unit 32 is the content of information to be output (hereinafter, output information) for each output destination selected by the output destination selection unit 31 based on the content of the measurement result information d2 output from the state measurement unit 23. Is to select. The content of the output information varies depending on the function of the output destination device, such as the measurement result information d2 itself and a warning message made up of text or voice, so the output information selection unit 32 is output from the state measurement unit 23. Output information is selected for each output destination selected by the output destination selection unit 31 according to the measurement result information d2.

  The storage unit 11 further includes an output method storage unit 41. The output method storage unit 41 stores one or more decision making tables that are referred to by each unit of the output operation control unit 30 to control the output operation. In the present embodiment, the output method storage unit 41 includes at least an output destination determination table and an output content determination table. The output destination determination table stores information for the output destination selection unit 31 to determine an output destination of information according to the measurement result information d2. The output content determination table stores information for the output information selection unit 32 to determine the content of the output information for each output destination according to the measurement result information d2. Next, the data structure of each table and the operation of each unit of the output operation control unit 30 will be described in detail with reference to FIGS. 10 and 11.

  FIG. 10 is a diagram illustrating an example of an output destination determination table stored in the output method storage unit 41 of the first embodiment.

  As shown in FIG. 10, for example, the output destination determination table should send output information to the output destination to each cell specified for each “output destination” and for each “state” output by the state measurement unit 23. This is a structure in which information indicating whether or not the data is stored is stored.

  The “output destination” can be uniquely identified by the “output destination ID” (or “output destination name”) as shown in the first column or the second column of the table. The “state” as the measurement result information d2 can be uniquely identified by the first row “output condition” of the table. In addition, the information of “situation” shown in the last row of the table indicates what kind of situation each “state A” and “state B” specifically refers to for reference. Accordingly, the “situation” information may not actually be included in this table.

  In the example illustrated in FIG. 10, “output operation code” is stored in each cell specified by “output destination ID” and “state”. The storage of the “output operation code” indicates that the output information should be transmitted to the corresponding output destination.

  For example, when the state measuring unit 23 outputs “state A”, the output destination selecting unit 31 selects “001: device main body” corresponding to the cell in which the “output operation code” is stored in the “state A” column. "Blue LED" and "004: Tournament headquarters monitoring device" are selected as output information output destinations.

  Here, the “output operation code” is a code for uniquely specifying an output operation to be performed by the output operation control unit 30 based on a combination of “output destination ID” and “state”. For example, the output operation code “A001” is a code for specifying an output operation for the output destination “001: device main body blue LED” when the state of the player H is “state A”.

  Note that the output destination determination table of the present invention may simply store a flag indicating whether or not output information should be transmitted without storing the “output operation code” in each cell. Even in this case, the output destination selection unit 31 can select the “output destination” to which the output information is to be output, according to the measured “state”.

  The output destination selection unit 31 transmits the “output operation code” specified according to the “state” to the output information selection unit 32. Alternatively, the selected output destination information (output destination ID or the like) is transmitted to the output information selection unit 32. For example, when the state measurement unit 23 determines “state A”, the output destination selection unit 31 transmits the output operation codes “A001” and “A004” to the output information selection unit 32. Alternatively, the output destination IDs “001” and “004” may be transmitted to the output information selection unit 32.

  The output method storage unit 41 is not limited to the output destination determination table described above. For example, “when the state is A, the output destinations 001 and 004 are selected”, and when the state is the B, the output destinations 002 to 005 are selected. A statement such as “select” may be stored. Even in such a case, the output destination selection unit 31 can appropriately select the “output destination” according to the “state” in accordance with the above-described command statement.

  FIG. 11 is a diagram illustrating an example of an output content determination table stored in the output method storage unit 41 of the first embodiment.

  As shown in FIG. 11, for example, the output content determination table stores, for each “output operation code”, the content “output content” of output information to be transmitted to the “output destination” indicated by the code in association with each other. It has a structure to do.

  The “situation” information shown in the third column of the table is for reference only to indicate what kind of situation each of “state A” and “state B” refers to. Therefore, the “situation” information may not actually be included in this table.

  The output information selection unit 32 specifies the “output content” associated with the “output operation code” transmitted from the output destination selection unit 31, and which “output content” is associated with which “output destination”. Decide whether to send output information that contains.

  The output operation control unit 30 controls the output operation by controlling the communication unit 14 and the output unit 15 based on the items determined by the output destination selection unit 31 and the output information selection unit 32.

  For example, the operation of the output information selection unit 32 will be described based on the specific example shown in FIG. When the output operation codes “A001” and “A004” are supplied from the output destination selection unit 31, first, the output information selection unit 32 “lights up” as “output contents” output to “001: device main body blue LED”. Select “Signal”. The “lighting signal” is an instruction signal for instructing lighting to “001: device main body blue LED”. According to this selection of the output information selection unit 32, the output operation control unit 30 outputs a lighting signal to “001: device main body blue LED” (output unit 15 shown in FIG. 1) of the biological monitoring device 1. In accordance with this signal, the output unit 15 as the blue LED of the biological monitoring apparatus 1 is turned on. Next, the output information selection unit 32 displays “004 number: normal icon” as “output contents” to be output to “004: tournament headquarters monitoring device” (monitor device 116 of FIG. 2 installed in the tournament headquarters). And “Heart Rate”. The “bib number” indicates the bib number worn by each player participating in the marathon competition, and is a number for uniquely identifying each player. The “bib number” is information stored in advance in the storage unit 11 of the biological monitoring apparatus 1 or supplied together with sound data from the sound sensor 2b. The “normal icon” is an icon that visually indicates that the player's heart rate is in a normal state, and is realized by an illustration, a figure, an animation, or the like. The “heart rate” is a heart rate of the player per unit time obtained by the state measurement unit 23 analyzing the heart sound of the player, and is information indicated by a numerical value. In accordance with this selection of the output information selection unit 32, the output operation control unit 30 outputs the bib number, normal icon, and heart rate as output information for “004: tournament headquarters monitoring device” of the biological monitoring device 1. It transmits via the communication part 14. According to this output information, the monitor device 116 installed at the tournament headquarters can display the “bib number”, “normal icon”, and “heart rate” of the player on the screen.

  When the output information selection unit 32 is simply supplied with the “output destination ID” from the output destination selection unit 31, the output information selection unit 32 itself outputs the “output destination operation code” according to the “state” output by the state measurement unit 23. ", And" output contents "can be specified.

  For example, when the state measurement unit 23 determines “state B” and the output destination selection unit 31 selects “002, 003, 004, 005”, the output information selection unit 32 outputs the output destination operation code “B002”. , B003, B004, B005 ”, the“ output content ”is specified. More specifically, regarding the output destination operation code “B003”, the output information selection unit 32 instructs the “003: device main body speaker” of the biological monitoring device 1 to output an alarm. It is determined to output “warning sound signal” and “voice guidance” in which the guidance message is realized as voice data.

  According to the above configuration, the biological measurement unit 20 watches the physical condition of the measurement target (biological body, here, a player), and the output operation control unit 30 determines the measured state of the player (whether the heart rate is normal or abnormal). Accordingly, the output destination and the content of the output information can be flexibly changed. As a result, the living body monitoring device 1 has an effect that it is possible to appropriately control the output operation of where and how to output the measurement result according to the measurement content.

[Biological monitoring process flow]
FIG. 30 is a flowchart showing a process flow of the biological monitoring apparatus 1 according to the first embodiment of the present invention.

  The sensor communication unit 12 communicates with the sound sensor 2b, and acquires sound data of heart sounds from the sound sensor 2b as biological signal information d1 (S101).

  The attribute information determination unit 21 of the biometric measurement unit 20 performs the measurement to be performed this time based on the measurement item directly specified from the input operation unit 13 or the measurement item specified from the information supply device 120 via the communication unit 14. The purpose “measurement item” is determined (S102). Here, the measurement item “exercise heart rate” is determined. Note that the attribute information determination unit 21 may determine the measurement item set as default as the measurement item of the current measurement before receiving the sound data of the heart sound, or the sound data of the heart sound from the sound sensor 2b. May be determined as the measurement item “heart rate during exercise”.

  Subsequently, the algorithm selection unit 22 refers to the measurement method storage unit 40 and selects an algorithm associated with the attribute information determined by the attribute information determination unit 21 (S103). Here, the algorithm selection unit 22 can select an optimal algorithm for measuring the state of the heart rate during running of the player H based on the measurement item “heart rate during exercise”.

  First, the state measurement unit 23 analyzes the biological signal information d1 acquired in S101 according to the algorithm selected by the algorithm selection unit 22, and detects the heart rate of the player H (S104). Next, the state measurement unit 23 determines the state of the player H by comparing the detected heart rate with a reference value according to an algorithm (S105).

  When the state measuring unit 23 determines that the heart rate of the player H satisfies the reference value and the player H is in a normal state (state A) (A in S106), the state measuring unit 23 indicates “state A”. The result information d2 is supplied to the output operation control unit 30.

  Then, for example, the output destination selection unit 31 refers to the output destination determination table shown in FIG. 10 and selects an output destination associated with “state A” based on the measurement result information d2 (S107). Subsequently, for example, the output information selection unit 32 refers to the output content determination table shown in FIG. 11 and selects the output content associated with “state A” for each selected output destination (output destination ID). (S108).

  On the other hand, when the state measuring unit 23 determines that the heart rate of the player H is higher than the reference value and the player H is in an abnormal state (state B) (B in S106), “state B Is supplied to the output operation control unit 30.

  Then, for example, the output destination selection unit 31 refers to the output destination determination table illustrated in FIG. 10 and selects an output destination associated with “state B” based on the measurement result information d2 (S109). Subsequently, for example, the output information selection unit 32 refers to the output content determination table shown in FIG. 11 and selects the output content associated with “state B” for each selected output destination (output destination ID). (S110).

  Finally, the output operation control unit 30 supplies each output content selected by the output information selection unit 32 to each output destination selected by the output destination selection unit 31 (S111).

  According to the above method, the biological measurement unit 20 watches the physical condition of the measurement target (biological body, here, a player), and the output operation control unit 30 determines the measured state of the player (whether the heart rate is normal or abnormal). Accordingly, the output destination and the content of the output information can be flexibly changed. As a result, the living body monitoring device 1 has an effect that it is possible to appropriately control the output operation of where and how to output the measurement result according to the measurement content.

<< Embodiment 2 >>
[Outline of Marathon Player Watching System]
In the marathon player monitoring system (biological monitoring system 100) in the second embodiment, the subject H in FIG. 2 is a large number of players participating in the marathon competition. With reference to FIG. 2, the marathon player watching system of the present embodiment includes a sound sensor 2 a as a biological sensor to be attached to each player H, a sound sensor 2 b, and a living body monitoring device 1 that each player H is equipped with. The information output device 110 is included.

  As shown in FIG. 2, in this embodiment, the sound sensor 2a is mounted around the airway of the player H, acquires the breathing sound of the player H, and supplies the sound data to the living body monitoring device 1 as the biological signal information d1. . The sound data of the heart sound is supplied from the sound sensor 2b as in the first embodiment.

  The biometric measurement unit 20 in the second embodiment analyzes the heart sound and the breathing sound to measure the state of the player H, and the output operation control unit 30 appropriately outputs according to the measurement result information d2 derived from the biometric measurement unit 20. Control the behavior.

  In the second embodiment, the biological monitoring apparatus 1 includes four types of LEDs as an example of the output unit 15 illustrated in FIG. That is, a blue LED (for heart rate) and a red LED (for heart rate) for indicating normality and abnormality of the heart rate, and a blue LED (for respiration) and a red LED (for respiration) for indicating normality and abnormality of the respiratory rate. The four LEDs are provided. As in the first embodiment, the living body monitoring apparatus 1 further includes a speaker as the output unit 15.

  As in the first embodiment, the biological monitoring system 100 in the second embodiment includes a monitor device 116 installed in the tournament headquarters and a speaker 114 as the information output device 110.

  Each of the output unit 15 and the information output device 110 described above performs a notification operation regarding the state of the player H in accordance with the output control performed by the output operation control unit 30 of the biological monitoring device 1.

  Here, the operation of the biological measurement unit 20 in the second embodiment will be described. First, the biometric measurement unit 20 acquires heart sound and breathing sound data from each sound sensor 2 of the player H. The attribute information determination unit 21 determines the attribute information “measurement item” in advance as “heart rate during exercise” first and “respiration rate” second. “Measurement item: heart rate during exercise” is as described in the first embodiment. “Measurement item: respiration rate” specifies that the respiration rate of the athlete H who is the subject is measured as compared with the normal respiration rate of a healthy person. Based on the two determined “measurement items”, the algorithm selection unit 22 selects an optimal algorithm for measuring the running heart rate and respiration rate of the athlete H, and the state measurement unit 23 To hand over. The state measurement unit 23 detects the heart rate and respiration rate of the player H according to each selected algorithm, and performs the following determination. That is, for “measurement item: heart rate during exercise”, it is determined whether the heart rate of the player H is in a normal state that satisfies the reference value or is higher than the reference value. In the present embodiment, the former state is referred to as “Heart Rate S State A (= Heart Rate Normal)”, and the latter state is referred to as “Heart Rate S State B (= Heart Rate Abnormal)”. The state measurement unit 23 outputs “state A” or “state B” for “measurement item: heart rate during exercise”. Next, for “measurement item: respiration rate”, it is determined whether the respiration rate of the player H is in a normal state satisfying the reference value or in a low state not satisfying the reference value. In the present embodiment, the former state is referred to as “state A of respiratory rate K (= normal respiratory rate)”, and the latter state is referred to as “state A of respiratory rate K (= abnormal respiratory rate)”. Then, the state measuring unit 23 outputs “state A” or “state B” for “measurement item: respiratory rate”. Finally, the state measurement unit 23 outputs measurement result information d2 including “state A” or “state B” for the heart rate S and “state A” or “state B” for the respiratory rate K. This is supplied to the operation control unit 30.

[Configuration of biological monitoring device 1 (biological monitoring function)]
The configuration of the output operation control unit 30 in the second embodiment is the same as the configuration of the output operation control unit 30 in the first embodiment shown in FIG. Therefore, description is not repeated here. Next, the data structure of each table stored in the output method storage unit 41 and the operation of each unit of the output operation control unit 30 will be described in detail with reference to FIGS. 12 and 13.

  FIG. 12 is a diagram illustrating an example of an output destination determination table stored in the output method storage unit 41 of the second embodiment.

  As shown in FIG. 12, the output destination determination table has a structure in which “output operation code” is stored in a cell specified for each “output destination”, for each “state”, and for each “measurement item”. It has become. In the second embodiment, measurement is performed according to two measurement items, and therefore, the pattern of the first row “output condition” of the table is identified by a total of four patterns based on “measurement item” and “state”. It is possible. Note that the “situation” information indicated in the last row of the table may not actually be included in this table.

  In the example illustrated in FIG. 12, “output operation code” is stored in each cell specified by “output destination ID”, “measurement item”, and “state”. In the present embodiment, the “output operation code” is used to uniquely specify an output operation to be performed by the output operation control unit 30 by a combination of “output destination ID”, “measurement item”, and “state”. Code. For example, the output operation code “SA001” specifies the output operation for the output destination “001: device main body blue LED (for heart rate)” when the state of the heart rate (S) of the player H is “state A”. Code.

  The symbol “-” stored in each cell indicates that there cannot be a combination of “output destination ID”, “measurement item”, and “state” corresponding to the cell. For example, the heartbeat LED for indicating the heartbeat state does not perform any output operation in accordance with the state of the respiratory rate.

  The output destination selection unit 31 transmits the “output operation code” specified according to the “measurement item” and the “state” to the output information selection unit 32. For example, when the state measurement unit 23 determines “measurement item: heart rate” as “state B” and “measurement item: respiratory rate” as “state A”, the output destination selection unit 31 The output operation codes “SB002”, “SB005”, “SB006”, “SB007”, “KA003”, and “KA006” are transmitted to the output information selection unit 32.

  The output method storage unit 41 is not limited to the output destination determination table described above. For example, when the heart rate is in the state A, the output destinations 001 and 006 are selected, and when the respiratory rate is in the state B, A command sentence such as “Select output destinations 004 to 007” may be stored. Even in such a case, the output destination selection unit 31 can appropriately select the “output destination” according to the “measurement item” and the “state” in accordance with the above-described command statement.

  FIG. 13 is a diagram illustrating an example of an output content determination table stored in the output method storage unit 41 of the second embodiment.

  As shown in FIG. 13, as in the first embodiment, in the output content determination table, for each “output operation code”, the content “output content” of the output information to be transmitted to the “output destination” indicated by the code is displayed. It is structured to store in association with each other. It should be noted that the “situation” information shown in the third column of the table may not actually be included in this table.

  The output information selection unit 32 specifies the “output content” associated with the “output operation code” transmitted from the output destination selection unit 31, and which “output content” is associated with which “output destination”. Decide whether to send output information that contains. The output operation control unit 30 controls the output operation by controlling the communication unit 14 and the output unit 15 based on the items determined by the output destination selection unit 31 and the output information selection unit 32.

  In the present embodiment, since two measurements are performed for each of the heart rate and the respiration rate, the output operation control unit 30 controls the output operation for each of the two measurement results. For example, when an abnormality is detected in both heart rate and respiratory rate, the output operation control unit 30 performs output operation control for notifying the abnormality of the heart rate and output operation control for notifying the abnormality of the respiratory rate. And execute each.

  According to the above configuration, even when the biometric measurement unit 20 performs a plurality of types of measurement on the measurement target (biological body, here, a player), the output operation control unit 30 determines whether the measurement is performed according to the state of the player for each measurement The output destination and the content of the output information can be flexibly changed. As a result, the living body monitoring apparatus 1 has an effect that it is possible to appropriately control, for each measurement item, an output operation of where and how to output the measurement result according to the measurement content.

<< Embodiment 3 >>
[Outline of Marathon Player Watching System]
In the marathon player monitoring system (biological monitoring system 100) in the third embodiment, the subject H in FIG. 2 is a large number of players participating in the marathon competition. With reference to FIG. 2, the marathon player watching system of the present embodiment is similar to the second embodiment in that the sound sensor 2 a, the sound sensor 2 b, the living body monitoring device 1, and the living body monitoring device are attached to each player H. 1 is configured to include an information output device 110 that communicates with 1.

  In the biological monitoring system 100 according to the third embodiment, in addition to the monitor device 116 and the speaker 114 installed at the tournament headquarters, a telephone 115 is further installed at the tournament headquarters as the information output device 110. The telephone 115 has a function of communicating with the biological monitoring apparatus 1, and has a function of notifying the information received from the biological monitoring apparatus 1 to character information and reporting 119 by FAX or e-mail.

[Configuration of biological monitoring device 1 (biological monitoring function)]
FIG. 14 is a diagram illustrating a main configuration of the biological monitoring apparatus 1 according to the third embodiment. The configuration of the output operation control unit 30 is the same as the configuration of the output operation control unit 30 in the first and second embodiments shown in FIG. Therefore, description is not repeated here.

  In the third embodiment, unlike the second embodiment, the biological monitoring device 1 includes three types of LEDs having different colors as an example of the output unit 15 illustrated in FIG. That is, it has three LEDs, a blue LED, a red LED, and a yellow LED. In other words, since it is possible to increase the number of colors and change the light emission pattern (lighting, blinking, etc.), there is no need to prepare red and blue LEDs for each application, and even with a small number of LEDs, The state can be expressed. And the living body monitoring apparatus 1 is further provided with the speaker as the output part 15 similarly to Embodiment 1,2.

  The biological monitoring device 1 further includes a GPS sensor 7 that acquires the current position of the player H equipped with the biological monitoring device 1. The location information acquired by the GPS sensor 7 is used as output information output by the output operation control unit 30.

  The storage unit 11 of the biological monitoring apparatus 1 further includes a personal information storage unit 42. The personal information storage unit 42 stores all information about the player equipped with the biological monitoring device 1. For example, basic information such as name, age, and sex, information related to health such as past medical history, accumulated information of measurement result information d2 that the biometric measurement unit 20 has measured so far, and the like are stored.

  Next, the operation of the biological measurement unit 20 in the third embodiment will be described. First, the biometric measurement unit 20 acquires heart sound and breathing sound data from each sound sensor 2 of the player H. The attribute information determination unit 21 determines the attribute information “measurement item” in advance as “heart rate during exercise” first and “respiration rate” second. The measurement content of each measurement item is as described in the first and second embodiments. The algorithm selection unit 22 selects an optimal algorithm for comprehensively determining the state of the player H based on the two determined “measurement items”, and delivers the selected algorithm to the state measurement unit 23. The algorithm selected here includes an algorithm for measuring the running heart rate and breathing rate of the player H, and a comprehensive determination of the player H state according to each measurement result. Algorithm. FIG. 15 shows a condition table for the state measuring unit 23 to comprehensively determine the state of the player. This condition table is stored in the measurement method storage unit 40 as part of the algorithm. According to the selected algorithm, the state measurement unit 23 first detects and determines the heart rate and the respiratory rate of the player H as in the second embodiment. That is, for “measurement item: heart rate during exercise”, it is determined whether the heart rate of the player H satisfies the reference value and is in a normal state or higher than the reference value. And about "measurement item: respiration rate", it is determined whether the respiration rate of the player H is a normal state that satisfies the reference value or a low state that does not satisfy the reference value. And the state measurement part 23 finally determines the state of the player H comprehensively according to the measurement result for every measurement item according to the condition table shown in FIG. That is, when both the heart rate and the respiratory rate are normal, the state measuring unit 23 outputs “state A (= normal heart rate, normal respiratory rate)”, when the heart rate is abnormal and the respiratory rate is normal. Output “state B (= abnormal heart rate, normal respiratory rate)”, and when the heart rate is normal and the respiratory rate is abnormal, “state C (= normal heart rate, abnormal respiratory rate)” When the heart rate and the respiratory rate are both abnormal, “state D (= abnormal heart rate, abnormal respiratory rate)” is output. Then, the state measurement unit 23 supplies measurement result information d2 including any one of “state A” to “state D” to the output operation control unit 30.

  Next, the data structure of each table stored in the output method storage unit 41 and the operation of each unit of the output operation control unit 30 will be described in detail with reference to FIGS. 16 and 17.

  FIG. 16 is a diagram illustrating an example of an output destination determination table stored in the output method storage unit 41 of the third embodiment.

  As shown in FIG. 16, the output destination determination table has a structure in which an “output operation code” is stored in a cell specified for each “output destination” and for each “state”. Note that the “situation” information indicated in the last row of the table may not actually be included in this table.

  In the example illustrated in FIG. 16, “output operation code” is stored in each cell specified by “output destination ID” and “state”. As in the first embodiment, the “output operation code” uniquely identifies an output operation to be performed by the output operation control unit 30 by a combination of “output destination ID” and “state”.

  The output destination selection unit 31 transmits the “output operation code” specified according to the “state” to the output information selection unit 32.

  For example, in the present embodiment, the output operation control unit 30 determines that the state A in which both measurement items (heart rate and respiration rate) are both normal is the safest situation, and “001: device Output control is performed to easily notify the “main body blue LED” and “005: tournament headquarters monitoring device” that the main unit is in a normal state. In addition, the output operation control unit 30 determines that the state B or the state C in which one of the measurement items is abnormal is a situation that requires attention, and “002: device main body yellow LED” and “ 005: The output control for causing the tournament headquarters monitoring device to call attention is executed. Further, the output operation control unit 30 determines that the state D in which both the measurement items are both abnormal is a dangerous situation related to the maintenance of life. Then, detailed output information is transmitted to the largest number of output destinations than in any case, and output control is performed so that each output destination performs an appropriate notification operation in preparation for an emergency situation.

  FIG. 17 is a diagram illustrating an example of an output content determination table stored in the output method storage unit 41 of the third embodiment.

  As shown in FIG. 17, as in the first and second embodiments, the output destination determination table includes, for each “output operation code”, the content “output content” of output information to be transmitted to the “output destination” indicated by the code "Is stored in association with each other. It should be noted that the “situation” information shown in the third column of the table may not actually be included in this table.

  The output information selection unit 32 specifies the “output content” associated with the “output operation code” transmitted from the output destination selection unit 31, and which “output content” is associated with which “output destination”. Decide whether to send output information that contains. The output operation control unit 30 controls the output operation by controlling the communication unit 14 and the output unit 15 based on the items determined by the output destination selection unit 31 and the output information selection unit 32.

  In the present embodiment, the state of the player is comprehensively determined based on the measurement results of the heart rate and the respiratory rate. The output operation control unit 30 controls the output operation according to the severity of the situation based on the comprehensive determination. For example, in the state D in which both heart rate and respiratory rate are detected as abnormal, the output information selection unit 32 not only causes the light emitting device 117 (LED) or the monitor device 116 to execute a visual notification operation, but also a speaker. The output information for executing the auditory notification operation is transmitted to 114. Further, the output information selection unit 32 transmits the “sudden change patient information” and the “sudden change place information” to the telephone 115 based on the output operation code “D007”. The “rapid change patient information” is various information related to the player equipped with the biological monitoring device 1 and is information stored in the personal information storage unit 42. Specifically, the name, age, address, past medical history, and the like are included. The “rapid change location information” is location information indicating the current position of the player equipped with the biological monitoring device 1 and is information acquired from the GPS sensor 7.

  The telephone 115 of the tournament headquarters receives the above-mentioned “sudden change patient information” and “sudden change place information” from the biological monitoring apparatus 1 as output information. When the telephone 115 receives the output information, the telephone 115 performs a notification operation of notifying 119 and supplying the received information as voice data to the reporting operator.

  According to the above configuration, when the biological measurement unit 20 performs a plurality of types of measurement on the measurement target (biological body, here, a player), the biological measurement unit 20 comprehensively determines the measurement results, The player's condition can be grasped. The output operation control unit 30 can flexibly change the output destination and the content of the output information in accordance with the seriousness of the state of the player determined comprehensively. As a result, the living body monitoring device 1 can appropriately control the output operation of where and how to output the measurement result according to the measurement contents according to the state of the player. There is an effect.

<< Embodiment 4 >>
In each of the above-described embodiments, the biometric measurement unit 20 determines the state of the subject H (player) based on whether it is normal or abnormal according to the selected algorithm. However, the biological monitoring apparatus 1 of the present invention is not limited to such a configuration. The biometric measurement unit 20 can determine a player's state with three or more values according to an algorithm, and the output operation control unit 30 performs more detailed output control according to the determination result. can do.

[Outline of Marathon Player Watching System]
Since the configuration of the marathon player watching system (biological monitoring system 100) in the fourth embodiment is the same as that in the first embodiment, description thereof will not be repeated here.

  The fourth embodiment is different from the first embodiment in measurement result information d2 output from the state measurement unit 23. When the living body measuring unit 20 of the living body monitoring device 1 performs measurement on “measurement item: heart rate during exercise”, the state measuring unit 23 is not based on the selected algorithm but the following three states. One of the following is output. In other words, the state measuring unit 23 determines whether the heart rate of the player H is abnormal when it is less than the reference value, whether it is a normal state that satisfies the reference value, or is abnormal when it exceeds the reference value. .

  In this embodiment, a state in which the heart rate is less than the reference value and abnormally low is referred to as “state A (= abnormal heart rate (low))”, and a state in which the heart rate satisfies the reference value and is normal is referred to as “state B ( == Heart rate normal) and a state where the heart rate is abnormally high above the reference value is referred to as “State C (= Heart rate abnormal (high))”. The state measurement unit 23 supplies measurement result information d2 indicating “state A”, “state B”, or “state C” to the output operation control unit 30.

[Configuration of biological monitoring device 1 (biological monitoring function)]
The configuration of the output operation control unit 30 in the fourth embodiment is the same as the configuration of the output operation control unit 30 in the first embodiment shown in FIG. Therefore, description is not repeated here. The output operation control unit 30 performs output control according to the measurement result information d2 based on the output destination determination table and the output content determination table stored in the output method storage unit 41. Next, the data structure of each table described above and the operation of each unit of the output operation control unit 30 will be described in detail with reference to FIGS.

  FIG. 18 is a diagram illustrating an example of an output destination determination table stored in the output method storage unit 41 of the fourth embodiment.

  As shown in FIG. 18, in the output destination determination table in the present embodiment, “output operation code” is stored in a cell specified for each “output destination” and for each “state”, as in the first embodiment. It has a structure. In the output destination determination table of the fourth embodiment, the difference from the output destination determination table of the first embodiment is that the “state” is output in multiple values instead of binary, so the “state” pattern is diversified. Is a point. In the example shown in FIG. 18, three patterns of “states” are prepared. Note that the “situation” information indicated in the last row of the table may not actually be included in this table.

  The output destination selection unit 31 transmits the “output operation code” specified according to the “state” to the output information selection unit 32. Alternatively, the output destination ID of the selected output destination may be transmitted to the output information selection unit 32.

  FIG. 19 is a diagram illustrating an example of an output content determination table stored in the output method storage unit 41 of the fourth embodiment.

  As shown in FIG. 19, the output content determination table is similar to each of the above-described embodiments. For each “output operation code”, the content “output content” of the output information to be transmitted to the “output destination” indicated by the code "Is stored in association with each other. It should be noted that the “situation” information shown in the third column of the table may not actually be included in this table.

  The output information selection unit 32 specifies the “output content” associated with the “output operation code” transmitted from the output destination selection unit 31, and which “output content” is associated with which “output destination”. Decide whether to send output information that contains. The output operation control unit 30 controls the output operation by controlling the communication unit 14 and the output unit 15 based on the items determined by the output destination selection unit 31 and the output information selection unit 32.

  In the present embodiment, the output operation is controlled differently depending on whether the heart rate is normal, abnormal, or what kind of abnormality is abnormal (too high or abnormal or too low or abnormal). The output information selection unit 32 outputs the output destinations of “state A: abnormal because the heart rate is too low” and “state B: abnormal because the heart rate is too high” even if the same heart rate is abnormal. It is possible to flexibly change the contents of the output information transmitted to.

  Specifically, for example, in the “state A”, the output information selection unit 32 determines the output information to be transmitted to “004: tournament headquarters monitoring device” based on the output content determination table shown in FIG. For example, a heart rate “low” icon indicating that the heart rate is too low and abnormal is selected. On the other hand, in the “state C”, the output information selection unit 32 indicates that the heart rate is too high and abnormal as one of the output information transmitted to “004: tournament headquarters monitoring device”. Select the heart rate “high” icon.

  According to the above configuration, when the biometric measurement unit 20 performs measurement on a measurement target (biological body, here, a player) and performs multilevel determination instead of binary, the biometric measurement unit 20 The state can be grasped in more detail. Therefore, the output operation control unit 30 can execute more diversified output control according to the content of the measurement result information d2 output in multiple values. Specifically, the output operation control unit 30 is not limited to only binary information indicating whether it is normal or abnormal, and if it is determined as abnormal, it specifically indicates how abnormal it is. In addition, the information output device 110 (the speaker 114, the monitor device 116, etc.) can be caused to perform a notification operation. Therefore, the output destination and the content of the output information can be flexibly changed according to the diversified player states. As a result, the living body monitoring device 1 can appropriately and finely control the output operation of where and how to output the measurement result according to the measurement content, depending on the state of the player. Has the effect of becoming.

<< Embodiment 5 >>
In the above-described fourth embodiment, as the biological measurement unit 20 of the biological monitoring apparatus 1 performs multi-value determination for a single measurement item (“heart rate”), the output operation control unit 30 performs multi-value determination. The configuration for controlling various output operations according to the determination result has been described. The configuration of the fourth embodiment can be applied to the configuration of the second embodiment in which a plurality of measurements are performed on a plurality of measurement items.

  In the fifth embodiment, a case will be described in which the biometric measurement unit 20 performs multilevel determination for a plurality of measurement items.

[Outline of the elderly monitoring system]
In the elderly monitoring system (biological monitoring system 100) in the fifth embodiment, the subject H in FIG. 2 is an elderly person. With reference to FIG. 2, the elderly person monitoring system of this embodiment includes a sound sensor 2a as a biological sensor worn by the elderly person H, a sound sensor 2b, and a living body monitoring apparatus 1 that the elderly person H also has. The information output device 110 is included.

  As shown in FIG. 2, in this embodiment, the sound sensor 2a is mounted around the airway of the player H, acquires the breathing sound of the player H, and supplies the sound data to the living body monitoring device 1 as the biological signal information d1. . From the sound sensor 2a and the sound sensor 2b, the sound data of the breathing sound and the heart sound are supplied to the living body monitoring device 1 as in the first and second embodiments.

  The elderly person monitoring system in the fifth embodiment includes the following devices as the information output device 110 that executes the notification operation. There are four light emitting devices 117 and a speaker 114 provided in a notification device (not shown) installed in a house where the elderly person H resides. Specifically, each light-emitting device 117 is realized by four LEDs, a blue LED (for heartbeat), a red LED (for heartbeat), a blue LED (for breathing), and a red LED (for breathing). Further, the information output device 110 includes a telephone 115 installed in the house. The telephone 115 has a function of communicating with the biological monitoring apparatus 1, and has a function of notifying the information received from the biological monitoring apparatus 1 to character information and reporting 119 by FAX or e-mail. Further, the information output device 110 includes a communication terminal device (for example, a mobile phone 112, a mobile terminal device 113, an electronic notebook, etc.) owned by a doctor in charge of a hospital where the elderly person H is attending. Further, the information output device 110 includes a monitor device 116 and a speaker 114 installed in the hospital. Further, the information output device 110 also includes a terminal device (for example, a large dedicated computer, a monitor device, etc.) installed in a security service provider (locking system company) to which the house is subscribed.

  The living body monitoring apparatus 1 in the present embodiment includes a blue LED and a red LED as the output unit 15 (FIG. 14).

  Each of the output unit 15 and the information output device 110 described above performs a notification operation regarding the state of the elderly person H in accordance with the output control performed by the output operation control unit 30 of the biological monitoring device 1.

  As shown in FIG. 14, the storage unit 11 of the living body monitoring apparatus 1 includes a personal information storage unit 42 and stores information such as the name, age, address, past medical history, and doctor in charge of the elderly person H. Moreover, the biological monitoring apparatus 1 is provided with the GPS sensor 7, and acquires the present position of the elderly person H as needed.

  The operation of the biological measurement unit 20 in the fifth embodiment will be described. First, the biometric measurement unit 20 acquires heart sound and respiratory sound data from each sound sensor 2 of the elderly person H. The attribute information determination unit 21 previously determines the attribute information “measurement item” as “heart rate” first and “respiration interval” second. “Measurement item: Heart rate” specifies that the heart rate of the elderly person H who is the subject is measured as compared with the normal heart rate of a healthy person in the elderly group. Yes. “Measurement item: breathing interval” is the state of breathing interval of the elderly person H who is the subject compared to the normal breath and inhalation interval (length) of a healthy person of the elderly It is specified to measure. In the present embodiment, the algorithm selection unit 22 selects an optimal algorithm for measuring the heart rate of the elderly person H and the state of the breathing interval based on the determined two “measurement items”, respectively. Delivered to the state measurement unit 23. The state measurement unit 23 detects the heart rate and breathing interval of the elderly person H according to each selected algorithm and makes the following determination. In the present embodiment, the state measurement unit 23 performs multi-value determination for each measurement item of heart rate and breathing interval. That is, first, regarding “measurement item: heart rate”, whether the heart rate S of the elderly person H is less than the reference value is in an abnormal state, whether it is in a normal state satisfying the reference value, or in an abnormal state above the reference value It is determined whether it is. In this embodiment, a state in which the heart rate S is less than the reference value and is abnormally low is referred to as “a state A of the heart rate S (= abnormal heart rate (low))”, and the heart rate S satisfies the reference value and is in a normal state. Is referred to as “Heart Rate S State B (= Heart Rate Normal)”, and the heart rate S is abnormally high above the reference value, “Heart Rate S State C (= Heart Rate Abnormal (High))” Called. The state measurement unit 23 outputs “state A”, “state B”, or “state C” for “measurement item: heart rate”. Next, regarding the “measurement item: breathing interval”, the state measuring unit 23 determines whether the breathing interval K of the elderly person H is less than the reference value, is in an abnormal state, satisfies the reference value, and is in a normal state. It is determined whether the condition is abnormal when the value is greater than or equal to. In the present embodiment, a state in which the breathing interval K is less than the reference value and is abnormally short is referred to as “breathing interval state A (= breathing interval is short)”. The state of the interval K is referred to as “state B (= normal breathing interval)”, and the state where the respiratory interval K is not less than the reference value and is abnormally long is referred to as “state C of the respiratory interval K (= long breathing interval)”. Then, the state measuring unit 23 outputs “state A”, “state B”, or “state C” for “measurement item: breathing interval”. Finally, the state measurement unit 23 performs “state A”, “state B” or “state C” for the heart rate S, and “state A”, “state B” or “state C” for the breathing interval K. The measurement result information d2 including “is supplied to the output operation control unit 30.

[Configuration of biological monitoring device 1 (biological monitoring function)]
The configuration of the output operation control unit 30 in the fifth embodiment is the same as the configuration of the output operation control unit 30 in the third embodiment shown in FIG. Therefore, description is not repeated here. Next, the data structure of each table stored in the output method storage unit 41 and the operation of each unit of the output operation control unit 30 according to the fifth embodiment will be described in detail with reference to FIG. 20 and FIGS. 21A and 21B. explain.

  FIG. 20 is a diagram illustrating an example of an output destination determination table stored in the output method storage unit 41 of the fifth embodiment.

  As shown in FIG. 20, the output destination determination table has a structure in which an “output operation code” is stored in a cell specified for each “output destination”, for each “state”, and for each “measurement item”. It has become. In the fifth embodiment, since the “state” is output in multiple values instead of binary for each measurement, the “state” pattern is diversified. In the example shown in FIG. 20, three patterns of “states” are prepared for one measurement. Furthermore, in this embodiment, since measurement was performed according to two measurement items, the pattern of the first line “output condition” of the table is 3 × 2 based on “measurement item” and “state”. A total of 6 patterns can be identified. Note that the “situation” information indicated in the last row of the table may not actually be included in this table.

  In the example illustrated in FIG. 20, “output operation code” is stored in each cell specified by “output destination ID”, “measurement item”, and “state”. As in the second embodiment, the “output operation code” is used to uniquely specify an output operation to be performed by the output operation control unit 30 by a combination of “output destination ID”, “measurement item”, and “state”. Code. The symbol “-” stored in each cell indicates that there cannot be a combination of “output destination ID”, “measurement item”, and “state” corresponding to the cell.

  The output destination selection unit 31 transmits the “output operation code” specified according to the “measurement item” and the “state” to the output information selection unit 32. For example, when the state measurement unit 23 determines “measurement item: heart rate” as “state B” and “measurement item: respiratory rate” as “state A”, the output destination selection unit 31 The output operation codes “SB001”, “SB003”, and “KA002”, “KA006”, “KA007” are transmitted to the output information selection unit 32.

  In the present embodiment, regarding the measurement item “heart rate”, a more serious abnormality occurs when the heart rate is abnormally low (state A) than when the heart rate is abnormally high (state C). I think. Therefore, the biological monitoring apparatus 1 recognizes the state C as a caution stage and recognizes the state A as an emergency. Further, in the present embodiment, regarding the measurement item “respiration interval”, a more serious abnormality occurs when the respiration interval is abnormally long (state C) than when the respiration interval is abnormally short (state A). I think. Therefore, the biological monitoring apparatus 1 recognizes the state A as a caution stage and recognizes the state C as an emergency. Therefore, as shown in FIG. 20, the output destination selection unit 31 sets the most output destinations in the state A for the heart rate or in the state C for the breathing interval compared to other cases. In response, it decides to send output information and prepares for an emergency.

  21A and 21B are diagrams illustrating an example of an output content determination table stored in the output method storage unit 41 according to the fifth embodiment.

  As shown in FIG. 21A and FIG. 21B, the output content determination table is similar to the first embodiment, for each “output operation code”, the content “output” of the output information to be transmitted to the “output destination” indicated by the code “Content” is stored in association with each other. It should be noted that the “situation” information shown in the third column of the table may not actually be included in this table.

  The output information selection unit 32 specifies the “output content” associated with the “output operation code” transmitted from the output destination selection unit 31, and which “output content” is associated with which “output destination”. Decide whether to send output information that contains. The output operation control unit 30 controls the output operation by controlling the communication unit 14 and the output unit 15 based on the items determined by the output destination selection unit 31 and the output information selection unit 32.

  In the present embodiment, since two measurements are performed for each of the heart rate and the breathing interval, the output operation control unit 30 controls the output operation for each of the two measurement results. For example, when an abnormality of “state A” is detected for the heart rate S and “state B” is detected for the breathing interval K, the output operation control unit 30 notifies the abnormality (emergency) of the heart rate. The output operation control and the output operation control for notifying the abnormality (emergency state) of the respiratory rate are executed.

  According to the above configuration, even when the biometric measurement unit 20 performs a plurality of types of measurement on the measurement target (biological body, here, a player), the output operation control unit 30 determines whether the measurement is performed according to the state of the player for each measurement The output destination and the content of the output information can be flexibly changed. Furthermore, the output operation control unit 30 is not only binary information indicating whether it is normal or abnormal, but if it is determined to be abnormal, how exactly it is abnormal, how much is it? As shown in detail, the information output device 110 (the speaker 114, the monitor device 116, or the like) can perform a notification operation. In addition, it is possible to flexibly select the information output device 110 that performs the notification operation according to the emergency. As a result, the living body monitoring device 1 performs the output operation of where and how to output the measurement result according to the measurement contents, more appropriately and more appropriately for each measurement item according to the state of the elderly person. There is an effect that fine control is possible.

  Specifically, according to the output destination determination table shown in FIG. 20 and the output content determination table shown in FIG. 21A and FIG. 21B, the biological monitoring device 1 simply turns on the blue LED of each device when it is normal. Only. And in the caution stage, the biological monitoring apparatus 1 blinks the red LED of each apparatus, and alerts the speaker 114 of the notification apparatus that the state of the heartbeat or the breathing interval is cautionary. And in the most dangerous emergency, the living body monitoring device 1 is not limited to the living body monitoring device 1 itself or the notification device installed in the house, but a telephone 115 (output destination ID: 008) for informing 119, For doctor communication terminal device (output destination ID: 009), hospital monitor device (output destination ID: 010), hospital speaker (output destination ID: 011), locking system company terminal device (output destination ID: 012), A notification operation for notifying that the elderly person H is in a dangerous state can be executed. As a result, various organizations that have been informed about the emergency can quickly prepare for the emergency. For example, as shown in FIGS. 21A and 21B, for the locking system company terminal device (output destination ID: 012), the home ID, home address, and unlock request message are supplied from the biological monitoring device 1 as output information. . The locking system company terminal device notifies the received output information via the monitor device 116 or the speaker 114 or the like. As a result, the operator of the locking system company terminal device identifies the home where the emergency has occurred based on the home ID and home address managed by the company, and remotely operates or rushes to the site to It can be said that unlocking is performed. Such a quick response is particularly effective when the elderly person H is rescued from a house where all windows, doors, etc. are locked.

  As described above, by further diversifying the output operation according to the seriousness of the state of the elderly person H detected for each measurement item, an effect that an appropriate process according to the state of the living body is quickly executed. Play.

Embodiment 6
In the above-described fifth embodiment, the configuration in which the biological measurement unit 20 performs multivalue determination on a plurality of measurement items has been described. In such a configuration, the biometric measurement unit 20 further estimates the symptom and grasps the situation in more detail by comprehensively judging the multi-value determination result output for each measurement item. Can be. Then, the output operation control unit 30 can quickly execute more appropriate output operation control based on the determination result of the biometric measurement unit 20.

  In the sixth embodiment, a case will be described in which the biological measurement unit 20 performs multi-value determination for a plurality of measurement items and determines the state of the living body comprehensively by combining the determination results.

[Outline of the elderly monitoring system]
In the elderly monitoring system (biological monitoring system 100) in the sixth embodiment, the subject H in FIG. 2 is an elderly person. With reference to FIG. 2, the elderly person monitoring system of this embodiment includes a sound sensor 2a as a biological sensor worn by the elderly person H, a sound sensor 2b, and a living body monitoring apparatus 1 that the elderly person H also has. The information output device 110 is included.

  As shown in FIG. 2, in this embodiment, the sound sensor 2a is mounted around the airway of the player H, acquires the breathing sound of the player H, and supplies the sound data to the living body monitoring device 1 as the biological signal information d1. . From the sound sensor 2a and the sound sensor 2b, sound data of breathing sounds and heart sounds are supplied to the biological monitoring apparatus 1, respectively.

  The elderly person monitoring system in the sixth embodiment includes the following devices as the information output device 110 that executes the notification operation. It is four light-emitting devices 117 with which the alerting device (not shown) installed in the house where the elderly person H resides is provided. Specifically, each light-emitting device 117 is realized by four LEDs, a blue LED (for heartbeat), a red LED (for heartbeat), a blue LED (for breathing), and a red LED (for breathing). Further, the information output device 110 includes a telephone 115 installed in the house. The telephone 115 has a function of communicating with the biological monitoring apparatus 1, and has a function of notifying the information received from the biological monitoring apparatus 1 to character information and reporting 119 by FAX or e-mail. Furthermore, the information output device 110 also includes a communication terminal device (such as the mobile phone 112) owned by the family of the elderly person H who is in a remote place not living with the house. Further, the information output device 110 includes a communication terminal device (for example, a mobile phone 112, a mobile terminal device 113, an electronic notebook, etc.) owned by a doctor in charge of a hospital where the elderly person H is attending. Further, the information output device 110 includes a monitor device 116 and a speaker 114 installed in the hospital. Further, the information output device 110 includes a terminal device (for example, a notebook personal computer 111) installed in a security service provider (locking system company) to which the house is subscribed.

  The living body monitoring apparatus 1 in this embodiment includes a blue LED, a red LED, and a speaker as the output unit 15 (FIG. 14).

  Each of the output unit 15 and the information output device 110 described above performs a notification operation regarding the state of the elderly person H in accordance with the output control performed by the output operation control unit 30 of the biological monitoring device 1.

  Furthermore, the living body measurement unit 20 of the living body monitoring apparatus 1 can receive a specific disease name as a measurement item and perform more detailed state measurement. In the present embodiment, the biological measurement unit 20 analyzes the biological signal information d1 obtained from the biological sensor with respect to the disease specified by the measurement item, as described in (Specific Example 1) to (Specific Example 4). In addition, it is possible to more accurately determine whether or not the living body is suspected of developing the disease. That is, the output operation control unit 30 makes a more accurate determination particularly for the disease when it is determined that further examination is necessary based on the comprehensive determination of the multi-value determination result by the biometric measurement unit 20. Thus, it is possible to feed back to the biological measurement unit 20.

  Therefore, in the present embodiment, in addition to the output unit 15 and the information output device 110 described above, the biological measurement unit 20 is also a target of output control of the output operation control unit 30.

  As shown in FIG. 14, the storage unit 11 of the biological monitoring device 1 includes a personal information storage unit 42 and stores information such as the name, age, address, past history, electronic medical record, and name of the doctor in charge of the elderly person H. ing. Moreover, the biological monitoring apparatus 1 is provided with the GPS sensor 7, and acquires the present position of the elderly person H as needed.

  Next, the operation of the biometric measurement unit 20 in the sixth embodiment will be described. First, the biometric measurement unit 20 acquires heart sound and breathing sound data from each sound sensor 2 of the player H. The attribute information determination unit 21 previously determines the attribute information “measurement item” as “heart rate” first and “respiration rate” second. “Measurement item: Heart rate” specifies that the heart rate of the elderly person H who is the subject is measured as compared with the normal heart rate of a healthy person in the elderly group. Yes. “Measurement item: Respiration rate” specifies that the respiration rate of the elderly person H who is the subject is measured in comparison with the normal respiration rate of healthy people of the elderly. ing. The algorithm selection unit 22 selects an optimal algorithm for comprehensively determining the state of the elderly person H based on the two determined “measurement items”, and hands it over to the state measurement unit 23. The algorithm selected here includes an algorithm for measuring the heart rate and respiration rate of the elderly person H, and an overall determination of the condition of the elderly person H according to each measurement result. Algorithm. FIG. 22 shows a condition table for the state measuring unit 23 to comprehensively determine the state of the player. This condition table is stored in the measurement method storage unit 40 as part of the algorithm. The state measurement unit 23 first detects the heart rate and respiration rate of the elderly person H according to the selected algorithm, and performs multi-value determination for each. That is, first, regarding “measurement item: heart rate”, whether the heart rate of the elderly person H is less than the reference value is abnormal (= abnormal heart rate (low)), or satisfies the reference value and is in a normal state (= It is determined whether the heart rate is normal) or abnormal (= abnormal heart rate (high)) above the reference value. Next, regarding “measurement item: respiration rate”, whether the respiration rate of the elderly person H is less than the reference value is an abnormal state (= abnormal respiration rate (high)), or satisfies the reference value and is in a normal state (= breathing) Whether the number is normal) or abnormal (= abnormal respiratory rate (low)) above the reference value. And according to the measurement result for every measurement item, the state measurement part 23 finally determines the state of elderly person H comprehensively according to the condition table shown in FIG.

  That is, when the state measurement unit 23 determines that the heart rate is in an “abnormal (low)” state and the respiratory rate is in an “abnormal (large)” state, the subject's heart rate is slow and breathing is fast. However, since such a situation is usually not conceivable, it is predicted that the sound sensor 2b that collects heart sounds is poorly mounted. However, the possibility that an abnormality has occurred in the subject is not zero. Therefore, in this case, the state measurement unit 23 outputs measurement result information d2 indicating “state A (= sensor deficiency or caution)”.

  When the state measurement unit 23 determines that the heart rate is in the “abnormal (high)” state and the respiration rate is in the “abnormal (high)” state, it recognizes that both the heart rate and the respiration of the subject are fast. And predict that they have developed an asthma attack or a heart attack. In this case, the state measurement unit 23 outputs “state B (= seizure)”.

  When the state measurement unit 23 determines that the heart rate is in the “abnormal (low)” state and the respiration rate is in the “abnormal (low)” state, the state measuring unit 23 recognizes that both the heart rate and respiration of the subject are slow. It is predicted that the two sound sensors 2a and 2b are poorly mounted or severe (unconsciousness, death). In this case, the state measuring unit 23 outputs “state C (= sensor deficient or severe)”.

  When the state measuring unit 23 determines that the heart rate is in the “abnormal (high)” state and the respiratory rate is in the “abnormal (low)” state, the state measuring unit 23 recognizes that the subject's heart rate is fast and breathing is slow. And predict that they have had a heart attack. In this case, the state measurement unit 23 outputs “state D (= heart attack, respiratory abnormality)”.

  When the state measurement unit 23 determines that the heart rate is in the “normal” state and the respiration rate is in the “normal” state, both the heart rate and the respiration of the subject are functioning normally. Recognize and determine normal. In this case, the state measurement unit 23 outputs “state E (= normal)”.

  When the state measurement unit 23 determines that the heart rate is in the “normal” state and the respiratory rate is in the “abnormal (large)” state, the subject's heart rate is normal but the breathing is fast And predict that he has developed hyperventilation. In this case, the state measurement unit 23 outputs “state F (= hyperventilation)”.

  If the state measuring unit 23 determines that the heart rate is “abnormal (low)” and the respiratory rate is “normal”, the subject's heart rate is slow but the respiration is normal. However, since such a situation is usually not conceivable, it is predicted that the sound sensor 2b that collects heart sounds is poorly mounted. However, the possibility that an abnormality has occurred in the subject is not zero. Therefore, in this case, the state measurement unit 23 outputs “state G (= sensor deficiency or caution)”.

  When the state measurement unit 23 determines that the heart rate is “abnormal (high)” and the respiration rate is “normal”, the state measurement unit 23 recognizes that the subject's heart rate is fast but the respiration is normal. And predict that they have had a heart attack. In this case, the state measurement unit 23 outputs “state H (= heart attack, normal breathing)”.

  When the state measuring unit 23 determines that the heart rate is in the “normal” state and the respiratory rate is in the “abnormal (low)” state, the heart rate of the subject is normal but the breathing is slow. Recognize and predict that sleep apnea syndrome (SAS) has developed. In this case, the state measurement unit 23 outputs “state I (= SAS)”.

  As described above, the state measurement unit 23 supplies the measurement result information d2 including any one of “state A” to “state I” to the output operation control unit 30.

  Next, with reference to FIG. 23 and FIGS. 24A to 24C, the data structure of each table stored in the output method storage unit 41 and the operation of each unit of the output operation control unit 30 in Embodiment 3 will be described in detail. explain.

  FIG. 23 is a diagram illustrating an example of an output destination determination table stored in the output method storage unit 41 of the sixth embodiment.

  As shown in FIG. 23, the output destination determination table has a structure in which “output operation code” is stored in a cell specified for each “output destination” and for each “state”. It should be noted that the “situation” and “situation prediction” information shown in the last two rows of the table may not actually be included in this table.

  In the example shown in FIG. 23, “output operation code” is stored in each cell specified by “output destination ID” and “state”. The “output operation code” uniquely identifies an output operation to be performed by the output operation control unit 30 by a combination of “output destination ID” and “state”, as in the first embodiment.

  The output destination selection unit 31 transmits the “output operation code” specified according to the “state” to the output information selection unit 32.

  For example, in this embodiment, the output operation control unit 30 determines that the state E in which both measurement items (heart rate and respiration rate) are both normal is the safest situation, and “001: Device Output control is performed to easily notify the “main body blue LED”, “005: notification device blue LED (for heart rate)”, and “007: notification device blue LED (for breathing)” that the normal state is present. . Further, the output operation control unit 30 is most dangerous in the state B in which both the heart rate and the respiration rate are too fast and abnormal, and in the state C in which both the heart rate and the respiration rate are too slow and abnormal. It is judged that this is a situation. And in these cases, the output destination selection part 31 is based on the output destination determination table shown in FIG. 23, each output part 15 (output destination ID: 001-004) of the biological monitoring apparatus 1, and each alerting | reporting apparatus part in a house It is determined that the output information is transmitted not only to (output destination ID: 005 to 008) but also to the information output device 110 belonging to each person and each organization prepared in the event of an emergency. That is, the output destination selection unit 31 includes a remote family communication terminal device (output destination ID: 009), a telephone 115 (output destination ID: 010), a doctor communication terminal device (output destination ID: 011), a hospital monitor device ( Output destination ID: 012), hospital speaker (output destination ID: 013), and locking system company terminal device (output destination ID: 014) are selected as output destinations. In this way, the output operation control unit 30 transmits detailed output information to the largest number of output destinations than in any case, and performs output control so that each output destination performs an appropriate notification operation in preparation for an emergency situation. Can be executed.

  24A to 24C are diagrams illustrating an example of an output content determination table stored in the output method storage unit 41 of the sixth embodiment.

  As shown in FIGS. 24A to 24C, the output content determination table is the content of the output information to be transmitted to the “output destination” indicated by the code for each “output operation code”, as in the above embodiments. “Output contents” are stored in association with each other. It should be noted that the “situation” information shown in the third column of the table may not actually be included in this table.

  The output information selection unit 32 specifies the “output content” associated with the “output operation code” transmitted from the output destination selection unit 31, and which “output content” is associated with which “output destination”. Decide whether to send output information that contains. The output operation control unit 30 controls the output operation by controlling the communication unit 14 and the output unit 15 based on the items determined by the output destination selection unit 31 and the output information selection unit 32.

  Further, in the present embodiment, when “003: biological measurement unit 20” is selected as the output destination, the output information selection unit 32 outputs the output contents associated with the output operation code of “003: biological measurement unit 20”. Is output to the biometric measuring unit 20.

  For example, when the biometric measurement unit 20 outputs “state B (= heart attack)” and “output operation code: B003” is selected from the output destination selection unit 31, the output information selection unit 32 displays the disease “heart attack”. ", The biological measurement unit 20 is instructed to perform more accurate state measurement. Specifically, as illustrated in FIG. 24A, the output information selection unit 32 transmits information specifying the measurement item “heart attack” and a signal instructing measurement of the biological state to the biological measurement unit 20. Select as output information. When the biometric measurement unit 20 receives the output information including the above-described content, the measurement process (subroutine) related to the measurement item “heart attack” is executed. Specifically, the attribute information determination unit 21 determines the measurement item “heart attack” based on the received output information. Then, the algorithm selection unit 22 selects an algorithm for performing determination on “heart attack”. The state measurement unit 23 analyzes the biological signal information d1 obtained from the biological sensor attached to the subject according to the algorithm, and performs a more accurate and accurate determination on “heart attack”. For example, seizure severity, cardiac murmur analysis, etc. may be performed according to the selected algorithm.

  Alternatively, the living body monitoring apparatus 1 can execute the following output control according to the state of the living body (elderly person) and the determined situation. In addition, in this embodiment, the input operation part 13 (FIG. 1, FIG. 14) with which the biological monitoring apparatus 1 is provided is the malfunctioning of the emergency button for the elderly person who wears this to complain of an emergency, and an emergency. And a confirmation button for notifying that there is no problem when the error occurs.

  For example, when the biometric measurement unit 20 outputs “state G (= sensor deficient)” and “output operation code: G004” is selected from the output destination selection unit 31, the output information selection unit 32 displays the device main body speaker ( 004) “warning sound signal” and “voice guidance” are selected as output information to be output. The voice data of the voice guidance includes, as messages, contents that allow the subject to confirm the wearing state of the sound sensor 2b that measures the heart sound and contents that cause the subject to input the current state. When the output information is selected by the output information selection unit 32, the apparatus main body speaker as the output unit 15 outputs “warning sound signal” and “voice guidance” as the output information, and alerts the subject. To do.

  The test subject can notice the poor mounting of the biosensor by the output warning sound and voice guidance. In addition, the subject can input the current state of the subject to the biological monitoring device 1 by operating a confirmation button or an emergency button as the input operation unit 13 provided in the biological monitoring device 1 according to the voice guidance. .

  According to the above configuration, it is possible to correct the mounting failure of the biological sensor and maintain the state of the biological monitoring system 100 so that correct measurement is always performed. In addition, even if an emergency occurs, not due to poor mounting, it is possible to prevent such an emergency from being overlooked.

  As shown in FIG. 23, the output destination selection unit 31 according to the present embodiment, when any abnormality occurs except “state E” that is a normal state and “state I” that is a suspicion of SAS, The family communication terminal device (009) is always selected as the output destination. Furthermore, when outputting output information to the remote family communication terminal device (009), the output information selection unit 32 can flexibly change the output contents according to the determined state of emergency. Thereby, for example, as illustrated in FIGS. 24A to 24C, the output operation control unit 30 changes the degree of urgency and transmits an e-mail such as “emergency notification”, “alarm notification”, and “caution notification”. Is possible.

  As described above, in the present embodiment, the state of the elderly person H (such as a disease suspected of developing) is comprehensively determined in detail based on the measurement results of the multivalued values for the heart rate and the respiratory rate. Is done. The output operation control unit 30 selects an appropriate output destination and output content according to comprehensive judgment (for example, a predicted disease or situation). Accordingly, there is an effect that the output operation can be more appropriately controlled more finely according to the state of the living body and the seriousness of the situation.

<< Embodiment 7 >>
In the patient monitoring system (biological monitoring system 100) in the seventh embodiment, the subject H in FIG. 2 is a patient who lives while receiving assistance at home (or in a hospital or facility). Referring to FIG. 2, the patient monitoring system of the present embodiment includes a pulse oximeter 3 as a biosensor mounted on each patient H, a biomonitoring device 1 equipped with each of the same patients, and an information output device 110. It is the composition which includes.

As shown in FIG. 2, in this embodiment, the pulse oximeter 3 is attached to the fingertip of the patient H, obtains data on the amount of transmitted light generated as a result of passing through the subject's fingertip, and is measured based on the amount of light. The percutaneous arterial blood oxygen saturation (SpO ₂ ) of the patient H, the pulse rate, and the pulse wave velocity are supplied to the biological monitoring apparatus 1 as biological signal information d1.

  The biological measurement unit 20 of the biological monitoring apparatus 1 analyzes the biological signal information d1 received from the pulse oximeter 3 and measures the state of the patient H. In the present embodiment, specifically, the biological measurement unit 20 detects “pulse rate”, “oxygen saturation”, and “pulse wave propagation velocity” included in the biological signal information d1, and determines the state of the patient H. taking measurement. The output operation control unit 30 appropriately controls the output operation in accordance with the measurement result information d2 derived by the biometric measurement unit 20. The operation of the biological measurement unit 20 will be described in detail later.

  Furthermore, the output operation control unit 30 of the living body monitoring apparatus 1 of the seventh embodiment includes an output operation changing unit 33 as shown in FIGS. The output operation changing unit 33 changes the output destination or the output contents determined by the output destination selecting unit 31 and the output information selecting unit 32 according to the situation in accordance with the output operation changing table stored in the output method storage unit 41. To do. The operation of the output operation changing unit 33 will be described in detail later.

  In the present embodiment, the living body monitoring apparatus 1 includes a blue LED and a red LED as an example of the output unit 15 illustrated in FIGS.

  The patient monitoring system according to the seventh embodiment includes the following devices as the information output device 110 that executes the notification operation. These are two light emitting devices 117, a speaker 114, and a monitor device 116 provided in a notification device (not shown) installed in the house where the patient H resides. Specifically, the light emitting device 117 is realized by two LEDs, a blue LED and a red LED.

  Further, the information output device 110 includes a terminal device (for example, a notebook personal computer 111) installed in a security service provider (locking system company) to which the house is subscribed. Further, the information output device 110 includes a communication terminal device (such as the mobile phone 112) owned by the family of the patient H who is in a remote place not living with the house. Further, the information output device 110 includes communication terminal devices (such as a notebook computer 111 and a mobile phone 112) owned by a welfare facility to which the patient H joins or a guardian. Further, the information output device 110 includes a communication terminal device (for example, a mobile phone 112, a mobile terminal device 113, an electronic notebook, etc.) owned by a doctor in charge of the hospital where the patient H passes. Further, the information output device 110 includes a telephone 115 installed in the house. The telephone 115 has a function of communicating with the biological monitoring apparatus 1, and has a function of notifying the information received from the biological monitoring apparatus 1 to character information and reporting 119 by FAX or e-mail.

  Alternatively, when the patient H is not at home but is admitted to a hospital facility, the monitor device 116, nurse call (installed in the nurse station of the patient H's ward, instead of the various information output devices 110 described above. The information output device 110 may include a speaker 114) and a monitor device 116 installed in a passage in front of the patient H's hospital room.

  Each of the output unit 15 and the information output device 110 described above performs a notification operation regarding the state of the patient H in accordance with the output control performed by the output operation control unit 30 of the biological monitoring device 1.

  Next, the operation of the biological measurement unit 20 in the seventh embodiment will be described. First, the biological measurement unit 20 acquires biological signal information d1 from the pulse oximeter 3 attached to the patient H. The attribute information determination unit 21 has previously determined the attribute information “measurement item” as “pulse rate” first, “oxygen saturation” second, and “pulse wave velocity” third. . “Measurement item: pulse rate” specifies that the pulse rate of patient H, who is the subject, is compared with a reference value to measure the state of pulse rate of patient H. “Measurement item: oxygen saturation” specifies that the blood oxygen saturation of a subject is compared with a reference value, and whether or not the oxygen saturation at the time of measurement reaches the reference value is measured. . “Measurement item: pulse wave velocity” specifies that the pulse wave velocity at the time of measurement is measured faster than the normal pulse wave velocity of the subject patient H Yes. The algorithm selection unit 22 selects an optimal algorithm for determining the state of the patient H based on the determined three “measurement items”, and delivers the selected algorithm to the state measurement unit 23.

  In the present embodiment, the state measurement unit 23 outputs the following measurement results according to the algorithm selected for each of the three measurement items.

  That is, first, regarding “measurement item: pulse rate”, whether the pulse rate of patient H is less than a reference value and is in an abnormal state (= pulse lag too late), or in a normal state satisfying the reference value (= normal pulse) It is determined whether or not there is an abnormal condition (= pulse rate too high) above the reference value. Next, regarding the “measurement item: oxygen saturation”, the state measurement unit 23 is in an abnormal state below the reference value (= reduced oxygen saturation), or is normal above the reference value (= normal oxygen saturation) ). Next, regarding the “measurement item: pulse wave propagation velocity”, the state measurement unit 23 determines whether the pulse wave propagation velocity is higher than normal (= pulse wave propagation velocity too fast) or not (= pulse wave). Determine normal propagation speed).

  In the present embodiment, when the state measurement unit 23 detects an abnormal state for each of the three measurement items, the state measurement unit 23 outputs the abnormal state for each measurement item. That is, when the state measuring unit 23 detects “pulse too late”, it outputs “state A (= pulse too late)” as measurement result information d2. Or, when “too pulse rate” is detected, “state C (= too pulse rate)” is output. When “decrease in oxygen saturation” is detected, “state D (= decrease in oxygen saturation)” is output. Further, when “pulse wave propagation speed too fast” is detected, “state E (= pulse wave propagation speed too fast)” is output.

  On the other hand, in this embodiment, when it is determined that all three measurement items are normal, the state measurement unit 23 does not output a measurement result indicating that each measurement item is normal, but 1 The output is unified to the type of state, that is, “state B (= normal)”. By unifying the output result into one for normal, the output operation in the normal case can be further simplified.

  Finally, the state measurement unit 23 includes measurement result information d2 including at least one of “state A”, “state C”, “state D”, and “state E” or “state B”. The measurement result information d2 is supplied to the output operation control unit 30.

  As described above, the biometric measurement unit 20 of the present embodiment can perform measurement on a plurality of measurement items by acquiring a plurality of biometric parameters from one type of biosensor (pulse oximeter 3).

  Next, with reference to FIG. 25 and FIGS. 26A to 26C, the data structure of each table stored in the output method storage unit 41 and the operation of each unit of the output operation control unit 30 according to the seventh embodiment will be described in detail. explain.

  FIG. 25 is a diagram illustrating an example of an output destination determination table stored in the output method storage unit 41 of the seventh embodiment.

  As shown in FIG. 25, the output destination determination table has a structure in which an “output operation code” is stored in a cell specified for each “output destination” and for each “state”. Note that when the patient H is at home, the information of each row whose output destination IDs are “012” to “014” may not actually be included in this table. Or, when the patient H is admitted to the hospital instead of home, the information of each line of the output destination IDs “003” to “007” and “009” to “011” is actually included in this table. It does not have to be. In addition, the “situation” information shown in the last row of the table may not actually be included in this table.

  In the example shown in FIG. 25, “output operation code” is stored in each cell specified by “output destination ID” and “state”. The “output operation code” uniquely identifies an output operation to be performed by the output operation control unit 30 by a combination of “output destination ID” and “state”, as in the first embodiment.

  The output destination selection unit 31 transmits the “output operation code” specified according to the “state” to the output information selection unit 32.

  When the state measuring unit 23 determines that all the measurement items are normal, the output destination selecting unit 31 determines that it is the safest situation and, as shown in FIG. ”And“ 003: Notification device blue LED ”are selected as output destinations. Then, the output operation control unit 30 executes output control for easily informing these devices that the apparatus is in a normal state. On the other hand, if any other abnormality is recognized, it is determined that the patient H is in a dangerous situation, and the output destination selection unit 31 determines each abnormality state “state A”, “state C”, “ The output destination is selected according to “state D” and “state E”. That is, it decides to transmit the output information to the information output device 110 belonging to each person and each organization prepared in case of an emergency. Thereby, when the patient H is in a normal state, the output operation control unit 30 reduces the output destination and simplifies the notification operation. On the other hand, when the patient H has some abnormality, Detailed output information can be transmitted to many output destinations, and output control can be performed so that each output destination performs an appropriate notification operation in preparation for an emergency situation.

  26A to 26C are diagrams illustrating an example of an output content determination table stored in the output method storage unit 41 of the seventh embodiment.

  As shown in FIGS. 26A to 26C, the output content determination table is the content of the output information to be transmitted to the “output destination” indicated by the code for each “output operation code”, as in the above embodiments. “Output contents” are stored in association with each other. It should be noted that the “situation” information shown in the third column of the table may not actually be included in this table.

  FIG. 26A and FIG. 26B show the contents of the output content determination table suitable for the patient monitoring system when the patient H is receiving home care. FIG. 26C shows the contents of the output content determination table suitable for the patient monitoring system when the patient H is admitted to the hospital. The output content shown in FIG. 26C is common to all of “state A”, “state C”, “state D”, and “state E” in which some abnormality is detected.

  The output information selection unit 32 specifies the “output content” associated with the “output operation code” transmitted from the output destination selection unit 31, and which “output content” is associated with which “output destination”. Decide whether to send output information that contains. The output operation control unit 30 controls the output operation by controlling the communication unit 14 and the output unit 15 based on the items determined by the output destination selection unit 31 and the output information selection unit 32.

  This will be described below using a specific example. For example, when the state measurement unit 23 determines that the state of the patient H is “state A”, the output information selection unit 32 outputs the output destination IDs “002, 004, 005, 006” according to the output content determination table of FIG. , 007, 009, and 010 ", the output contents to be transmitted to each of the output destination devices are determined.

  Furthermore, in this embodiment, prior to the output operation control unit 30 transmitting the output information based on the contents determined by the output destination selection unit 31 and the output information selection unit 32, the output operation change unit 33 outputs Necessary operation changes are performed according to the operation change table.

  FIG. 27 is a diagram illustrating an example of an output operation change table stored in the output method storage unit 41 of the seventh embodiment.

  As shown in FIG. 27, the output operation change table associates “output timing” with “output operation change” for each “output operation code” for the output operation that needs to be changed according to the situation. Stored structure. The “output timing” column stores the timing or condition at which the output operation control unit 30 should execute the output operation related to the “output operation code”. The “output operation change” column stores contents instructing how to change the contents of the output operation related to the “output operation code” when the timing to be executed has come.

  This will be described using the specific example described above. The output operation change unit 33 is specified in the output operation change table of FIG. 27 among the output operation codes “A002, A004, A005, A006, A007, A009, and A010” selected by the output destination selection unit 31. A determination is made to postpone execution of the output operations of “A007, A009, and A010”. This is because the output timing is defined in the output operation change table, and it is not preferable to output the output information simultaneously with “A002, A004, A005, A006”.

  The output operation control unit 30 first performs an output operation of “A002, A004, A005, A006” according to the determination of the output operation change unit 33. The output content is as shown in the output content determination table of FIG. 26A. Then, based on the abnormality notification “A005” or the voice guidance “A006” shown in FIG. 26A, the patient H or the surrounding user is provided in the biological monitoring device 1 if there is no abnormality in the state of the patient H. Press the confirmation button.

  The output operation change unit 33 detects that the output timing specified in the output operation change table has been reached in response to the confirmation button of the biological monitoring device 1 being pressed. Then, the output operation changing unit 33 changes the output operation according to the content of “output operation change” associated with the detected “output timing” in the output operation change table. In the example shown in FIG. 27, a command statement indicating that output information is not transmitted is associated. Therefore, the output operation changing unit 33 determines to stop the output operation of the output operation codes “A007, A009, and A010”.

  Thereby, the notification to the emergency contact shown in FIG. 26A is stopped. When it is confirmed that the patient H is normal by pressing the confirmation button, such notification to the emergency contact is not necessary. In this way, by controlling the output timing (condition) by the output operation changing unit 33, it is possible to prevent an unnecessary notification operation from being executed.

  On the other hand, when the patient H is in a serious state such as unconsciousness, there is a possibility that the emergency button cannot be pressed by himself unless there is a person around. Therefore, when no operation is performed on the biological monitoring device 1 for XX seconds after the notification device performs the notification operation of “A005” and “A006”, the output operation change unit 33 It detects that the output timing specified in the output operation change table has been reached. Then, in the output operation change table, the output operation is changed according to the content of “output operation change” associated with the detected “output timing”. In the example shown in FIG. 27, the associated statement is a command statement for transmitting the output information without changing the output contents. Therefore, the output operation changing unit 33 determines to execute the output operation of the output operation codes “A007, A009, and A010” as defined in the output content determination table of FIG. 26A. As described above, by controlling the output timing (condition) by the output operation changing unit 33, it is possible to perform control so that a notification operation necessary only in an emergency is executed.

  As a result, the physical condition of the measurement target (living body) is observed, and the output operation of the measurement result can be further appropriately controlled according to the measured state of the living body.

<< Embodiment 8 >>
[Outline of living environment monitoring system]
In each of the above-described embodiments, the living body monitoring system 100 has been described mainly for use in preparing for an abnormal state of a living body. However, the living body monitoring system 100 and the living body monitoring apparatus 1 of the present invention can also be used for applications in which the state of a healthy consumer is monitored on a daily basis.

  In the consumer monitoring system (biological monitoring system 100) according to the eighth embodiment, the subject H in FIG. 2 is a consumer H who lives indoors such as a home. With reference to FIG. 2, the consumer watch system of the present embodiment includes an electrocardiograph 8 as a biosensor worn by the consumer H, a living body monitoring device 1 that is also equipped with the consumer H, and the consumer H. And an information output device 110 installed indoors.

  The electrocardiograph 8 is for monitoring the state of the autonomic nerve based on the heartbeat cycle of the subject. As shown in FIG. 2, the electrocardiograph 8 is worn around the left chest of the consumer H, acquires the heart cycle information of the consumer, and supplies this to the biological monitoring apparatus 1 as the biological signal information d1.

  The living body measurement unit 20 of the living body monitoring apparatus 1 in the present embodiment performs frequency analysis on the heartbeat cycle acquired from the electrocardiograph 8 and measures the fluctuation. More specifically, the following state measurement is executed according to the algorithm stored in the measurement method storage unit 40. First, the state measurement unit 23 extracts the component LF and the component HF from the frequency distribution obtained as a result of the analysis. Here, the component LF is a component included in the frequency band of 0.04 to 0.15 Hz, and this frequency band represents that the sympathetic nerve in the excited state is dominant (the sympathetic nerve and the parasympathetic nerve and Is active). The component HF is a component included in the frequency band of 0.2 to 0.4 Hz, and this frequency band represents that the parasympathetic nerve in a relaxed state is dominant (the parasympathetic nerve is active). After extracting the component LF and the component HF, the state measurement unit 23 calculates a power ratio (LF / HF ratio).

  Then, the state measuring unit 23 determines that the subject is in a relaxed state or an intermediate state where the parasympathetic nerve is dominant and LF / HF ≦ 2. When LF / HF> 2, the subject determines that the sympathetic nerve is dominant and is in an excited state or a stressed state. In addition, although the threshold value of LF / HF ratio was set to “2”, this is an example, and the optimum threshold value is determined according to the measurement method of the component LF and the component HF.

  The state measurement unit 23 outputs “state A (= relaxed state)” as measurement result information d2 to the output operation control unit 30 in the former case, and “state B (= stress state)” in the latter case. Output.

  As described above, the biological monitoring device 1 measures the state of the consumer H based on the biological signal information d1 from the electrocardiograph 8, and controls the notification operation of the information output device 110 according to the measurement result. The biological monitoring device 1 includes a monitor device 116 and a speaker 114 as an example of the output unit 15 (FIGS. 1 and 14) that performs a notification operation.

  In addition, the living body monitoring system 100 according to the present embodiment includes, as the information output device 110, a monitor device 116 and a speaker 114 provided in a notification device installed in the living space of the consumer H. Each information output device 110 described above has a function of communicating with the biological monitoring device 1.

  Each of these information output devices 110 executes a notification operation according to the output control of the output operation control unit 30 of the biological monitoring device 1.

  In addition, household appliances (such as an air conditioner, an ion generator, audio, and lighting) (not shown) are further installed in the living space of the consumer H. These may communicate with the biological monitoring device 1 and fulfill the functions of the own device based on the control of the biological monitoring device 1.

[Configuration of biological monitoring device 1 (biological monitoring function)]
The configuration of the output operation control unit 30 in the eighth embodiment is the same as the configuration of the output operation control unit 30 shown in FIG. Therefore, description is not repeated here. Next, the data structure of each table stored in the output method storage unit 41 and the operation of each unit of the output operation control unit 30 will be described in detail with reference to FIGS. 28 and 29.

  FIG. 28 is a diagram illustrating an example of an output destination determination table stored in the output method storage unit 41 of the eighth embodiment.

  As shown in FIG. 28, as an example, the output destination determination table should transmit output information to the output destination to the cell specified for each “output destination” and for each “state” output by the state measurement unit 23. This is a structure in which information indicating whether or not the data is stored is stored. Note that the “situation” information indicated in the last row of the table may not actually be included in this table.

  As shown in FIG. 28, “output operation code” is stored in each cell specified by “output destination ID” and “state”. The storage of the “output operation code” indicates that the output information should be transmitted to the corresponding output destination.

  For example, when the state measuring unit 23 outputs “state A (= relaxed state)”, the output destination selecting unit 31 “003: notification device monitoring device” corresponding to the cell in which the “output operation code” is stored. Is selected as the output destination of the output information. On the other hand, when the state measurement unit 23 outputs “state B (= stress state)”, all candidate output destinations “001 to 004” are selected as output destinations.

  The output destination selection unit 31 transmits the “output operation code” specified according to the “state” to the output information selection unit 32.

  FIG. 29 is a diagram illustrating an example of an output content determination table stored in the output method storage unit 41 of the eighth embodiment.

  As shown in FIG. 29, for example, the output content determination table stores, for each “output operation code”, the content “output content” of output information to be transmitted to the “output destination” indicated by the code in association with it. It has a structure to do. It should be noted that the “situation” information shown in the third column of the table may not actually be included in this table.

  The output information selection unit 32 specifies the “output content” associated with the “output operation code” transmitted from the output destination selection unit 31, and which “output content” is associated with which “output destination”. Decide whether to send output information that contains.

  The output operation control unit 30 controls the output operation by controlling the communication unit 14 and the output unit 15 based on the items determined by the output destination selection unit 31 and the output information selection unit 32.

  For example, the operation of the output information selection unit 32 will be described based on the specific example shown in FIG. When the state measurement unit 23 determines that the mental state of the consumer H is “relaxed” and the output operation code “A003” is supplied from the output destination selection unit 31, the output information selection unit 32 sets “003: The message shown in FIG. 29 is selected as “output contents” to be output to the “notification device monitoring device”. When the output operation control unit 30 transmits the output information including the message to the notification device, the notification device can display the message on the monitor device 116 of the own device. Here, since the consumer H is in a relaxed state, the notification operation by sound is not performed so as not to hinder it. In this way, the output operation control unit 30 can maintain the mental health state and living environment of the consumer H in a good state by limiting the output destination according to the state of the consumer H.

  On the other hand, when the state measurement unit 23 determines that the mental state of the consumer H is “stress state” and the output operation codes “B001 to B004” are supplied from the output destination selection unit 31, the state measurement unit 23 “Output content” to be output to each output destination “001 to 004” is selected from the output content determination table shown in FIG. For example, as the output information to be transmitted to the monitor device (output destination ID: 001) included in the small living body monitoring device 1, the output information selection unit 32 simply proposes “stress level” and a proposal for relaxing. Select the "message" that was described. Moreover, as output information transmitted to the monitoring device (output destination ID: 003) of an informing device capable of displaying a relatively abundant amount of information, in addition to the above output contents, the environment of the living space can be relaxed. Select "Recommended settings for each home appliance" that suggests how to change.

  In addition, the output information selection unit 32 outputs a “chime sound signal” instructing to output a chime sound so that a chime sound is output from each of the living body monitoring device 1 and the installed type notification device. Send to speaker.

  Thereby, the consumer H can notice that his / her mental condition is not good, and the environment of the living space according to “recommended setting contents of each home appliance” displayed on the monitor device (003) of the notification device. You can change your mood.

  Furthermore, the output operation control unit 30 may display on the monitor device of the notification device a “GUI screen” for inquiring the consumer H whether to accept the setting of “recommended setting contents of each home appliance”. When the living person H operates the GUI screen displayed on the monitor device (003) and presses the OK button, the biological monitoring device 1 detects that the monitor device (003) is operated. And the output operation control part 30 of the biological monitoring apparatus 1 transmits an instruction | indication signal to each household appliance so that it may operate | move according to the setting of each household appliance recommended. For example, an air conditioner can keep the temperature and humidity of a living space comfortable by lowering the set temperature by 0.5 degrees and lowering the humidity by 1%.

  According to the above configuration, the living body measuring unit 20 watches the physical condition of the measurement target (living body, here, a resident), and the output operation control unit 30 determines the measured state of the resident (relaxed or stressed). The output destination and the content of the output information can be flexibly changed according to how the user feels. As a result, the living body monitoring device 1 has an effect that it is possible to appropriately control the output operation of where and how to output the measurement result according to the measurement content.

  In each of the above-described embodiments, the output method storage unit 41 stores information for decision making in a table format, but the configuration of the biological monitoring apparatus 1 of the present invention is not limited to this. The information stored in the output method storage unit 41 only needs to be associated with various types of information so that each unit of the output operation control unit 30 can make a decision, and the data format is not limited to the illustrated example.

  In addition, each block of the biological monitoring apparatus 1, in particular, the biological measurement unit 20 and the output operation control unit 30 may be configured by hardware logic, or may be realized by software using a CPU as follows. .

  That is, the biological monitoring apparatus 1 includes a CPU (central processing unit) that executes instructions of a control program that realizes each function, a ROM (read only memory) that stores the program, and a RAM (random access memory) that expands the program. And a storage device (recording medium) such as a memory for storing the program and various data. An object of the present invention is a recording medium in which a program code (execution format program, intermediate code program, source program) of a control program of the biological monitoring apparatus 1 which is software for realizing the above-described functions is recorded so as to be readable by a computer. This can also be achieved by supplying the living body monitoring apparatus 1 and reading and executing the program code recorded on the recording medium by the computer (or CPU or MPU).

  Examples of the recording medium include a tape system such as a magnetic tape and a cassette tape, a magnetic disk such as a floppy (registered trademark) disk / hard disk, and an optical disk such as a CD-ROM / MO / MD / DVD / CD-R. Card system such as IC card, IC card (including memory card) / optical card, or semiconductor memory system such as mask ROM / EPROM / EEPROM / flash ROM.

  Further, the biological monitoring apparatus 1 may be configured to be connectable to a communication network, and the program code may be supplied via the communication network. The communication network is not particularly limited. For example, the Internet, intranet, extranet, LAN, ISDN, VAN, CATV communication network, virtual private network, telephone line network, mobile communication network, satellite communication. A net or the like is available. Further, the transmission medium constituting the communication network is not particularly limited. For example, even in the case of wired such as IEEE 1394, USB, power line carrier, cable TV line, telephone line, ADSL line, etc., infrared rays such as IrDA and remote control, Bluetooth ( (Registered trademark), 802.11 wireless, HDR, mobile phone network, satellite line, terrestrial digital network, and the like can also be used. The present invention can also be realized in the form of a computer data signal embedded in a carrier wave in which the program code is embodied by electronic transmission.

  The present invention can also be expressed as follows.

  That is, the present invention provides an acquisition processing unit that acquires a biological parameter of a subject, a state determination unit that determines the state of the subject from the biological parameter with respect to an arbitrary measurement item, and a determination result of the state determination unit And an output control means for controlling output information and / or output information based on the above.

  The determination of the state may be made with a binary value of normal or abnormal. Alternatively, the determination of the state may be performed by multi-leveling the state level. Alternatively, the determination of the state may be performed by combining binary and multivalue when handling a plurality of biological parameters.

  Regarding the output control based on the determination result, the output control may be performed only when the determined state continues for a certain time without immediately performing the output control.

  The output control for controlling the output destination and / or output information includes outputting the pulse rate and the like directly to the monitor.

  The living body monitoring device according to the present invention functions as a measuring device for grasping the mental and physical health of people, and also functions as a monitoring device that outputs the contents to a user or an external device according to the measured state. . Therefore, it is widely used in society as one of health devices for monitoring the state of a living body to be monitored.

1 Biological monitoring device 2 Sound sensor (biological sensor)
2a Sound sensor (biological sensor)
2b Sound sensor (biological sensor)
3 Pulse oximeter (biological sensor)
4 Pulse wave sensor (biological sensor)
5 Thermometer (Biosensor)
6 Acceleration sensor (biological sensor)
7 GPS sensor (biological sensor)
8 electrocardiograph (biological sensor)
DESCRIPTION OF SYMBOLS 10 Control part 11 Memory | storage part 12 Sensor communication part 13 Input operation part 14 Communication part 15 Output part (information output part)
20 Biometric measurement unit (biological measurement means)
21 Attribute information determination unit (attribute information determination means)
22 Algorithm selection unit (algorithm selection means)
23 State measurement unit (state measurement means)
30 Output operation control unit (output control means)
31 Output destination selection unit (output destination selection means)
32 Output information selection unit (output information selection means)
33 Output operation changing section (output operation changing means)
40 Measurement Method Storage Unit 41 Output Method Storage Unit 42 Personal Information Storage Unit 100 Biological Monitoring System 110 Information Output Device (Information Output Unit)
111 notebook computer (information output unit)
112 Mobile phone (information output unit)
113 Mobile terminal device (information output unit)
114 Speaker (information output unit)
115 Telephone (information output unit)
116 Monitor device (information output unit)
117 Light Emitting Device (Information Output Unit)
120 Information supply device 121 Server device

Claims (15)

A biological measurement means for deriving measurement result information indicating the state of the biological body using at least one biological signal information acquired from the biological body;
Output control means for controlling the notification operation of one or more information output units for notifying the state of the living body indicated by the measurement result information derived by the biological measurement means,
The output control means includes
A living body monitoring apparatus that controls a notification operation of the information output unit according to the content of measurement result information derived by the living body measuring means. The output control means includes
According to the content of the measurement result information, output destination selection means for selecting an information output unit for executing a notification operation related to the measurement result information;
The living body monitoring apparatus according to claim 1, further comprising output information selection means for selecting output contents to be notified to each information output unit selected by the output destination selection means. The biometric means is:
A state in which the biological signal information is analyzed to determine to which state the biological state belongs in advance, and measurement result information including multi-value information of two or more values indicating the determined state is output Including measuring means,
The output destination selecting means is
By selecting an information output unit for executing the notification operation by referring to an output destination determination table that associates the information output unit for each state determined by the state measuring unit,
The output information selection means includes
By selecting an output content for each selected information output unit by referring to an output content determination table in which the output content is associated with each state determined by the state measuring unit and for each output information output unit. The living body monitoring apparatus according to claim 2. The state measuring means is
4. The measurement result information including binary information indicating the determined state is output by determining whether the state of the living body is the first state or the second state. The biological monitoring apparatus according to 1. The state measuring means is
4. The living body monitoring apparatus according to claim 3, wherein for the state of the living body, a symptom or severity of the onset of the living body is determined, and measurement result information including multi-value information indicating the determined state is output. . The state measuring means is
The measurement result information indicating the state of the living body related to the measurement item is output for each measurement item indicating what kind of state of the living body is desired to be measured. The biological monitoring device according to item. The state measuring means is
For each measurement item indicating what kind of state of the living body it is desired to measure, the state of the living body related to the measurement item is determined, and the state determined for each measurement item is integrated to indicate the state of the living body 6. The living body monitoring apparatus according to claim 3, wherein one piece of measurement result information is output. The information output unit is a display unit included in the own device or an external device,
The output information selection means includes
The biological signal information or a value obtained as a result of analyzing the biological signal information is selected as output contents to be displayed on the display unit. Biological monitoring device. The output control means further includes:
In accordance with the content of the measurement result information derived by the biometric means, including output operation changing means for designating timing for causing the information output unit to perform a notification operation,
The output operation changing means is
The control of the notification operation by the output control means is started only when the measurement result information indicating that the state of the living body is abnormal is continuously derived for a predetermined period by the biological measurement means. The biological monitoring apparatus according to any one of claims 1 to 8. The state measuring means of the living body measuring means analyzes biological signal information of the living body acquired by a living body sensor attached to the living body,
The biometric means further comprises:
For each attribute information of the biosensor, an algorithm associated with the attribute information of the biosensor attached to the living body from a measurement method storage unit that stores an algorithm that defines an analysis and determination procedure executed by the state measurement unit Including algorithm selection means for selecting and obtaining
The state measuring means is
4. The biological monitoring apparatus according to claim 3, wherein the biological signal information is analyzed in accordance with an algorithm selected by the algorithm selection means to determine the state of the biological body. The biometric means further comprises:
(1) “Wearing position” indicating where the biological sensor is mounted on the living body, (2) “Measurement site” indicating which part of the living body is to be measured by the biological sensor, and (3) The living body Attribute information determining means for determining at least one of “measurement items” indicating what kind of state of the living body is to be measured by the sensor as attribute information of the biological sensor,
The biological monitoring apparatus according to claim 10, wherein the algorithm selecting unit selects an algorithm associated with the attribute information determined by the attribute information determining unit from the measurement method storage unit. The biometric means is:
2. The measurement result information indicating the state of the living body is derived using externally acquired information supplied from an information supply device or directly input to the own device in addition to the biological signal information. The biological monitoring apparatus according to any one of 11 to 11. A biological measurement step for deriving measurement result information indicating the state of the biological body using at least one biological signal information acquired from the biological body;
An output control step for controlling a notification operation of one or a plurality of information output units for notifying the state of the living body indicated by the measurement result information derived in the biological measurement step,
In the above output control step,
A biological monitoring method, comprising: controlling a notification operation of the information output unit according to the content of measurement result information derived in the biological measurement step.   The control program for functioning a computer as each means of the biological monitoring apparatus of any one of Claim 1-12.   The computer-readable recording medium which recorded the control program of Claim 14.

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