JP6110348B2 - Biological information measuring system and method - Google Patents

Description

  The present invention relates to a biological information measuring system and method for obtaining biological signals such as an electrocardiogram waveform, or biological features such as heart rate, heart rate fluctuation, and electrocardiographic spectrum.

  2. Description of the Related Art In recent years, with the increasing interest in health, health management methods for monitoring the state of mind and body in daily life by recording and analyzing biological signals over a long period of time ranging from several hours to several months have begun to spread. As a biological signal, a heart rate, a heart rate fluctuation, an electrocardiogram waveform, the number of steps, an activity amount, a body acceleration, and the like are used. By monitoring such biological signals on a daily basis, it is possible to improve the lifestyle for improving health and to detect diseases early. In order to realize long-term monitoring in daily life, it is necessary that the biological information measurement device is small and can be worn, consumes little power and can be driven by a battery for a long time.

  In recent years, with the widespread use of smartphones and other devices, it has become possible to always carry and carry high-performance processors and large amounts of memory. A technique for reducing the burden on the biological information measuring device and realizing miniaturization and long-time operation by performing wireless transmission to the device and analyzing and storing data on the external device side is effective. Such a biological information measuring device is described in Non-Patent Document 1, for example.

  Here, among the above-mentioned biological signals, the electrocardiographic waveform is the biological waveform data that can be directly measured by reading the voltage of the biological electrode attached to the living body and performing amplification and frequency filtering as necessary. Can be classified. On the other hand, heart rate and heart rate fluctuation can be classified as biometric feature data that can be obtained by analyzing an electrocardiographic waveform. Specifically, heart rate fluctuation is a characteristic amount obtained by detecting R waves from an electrocardiogram waveform and measuring the time between adjacent R waves and R waves, and the heart rate is obtained by averaging heart rate fluctuations. It is a feature quantity that can be. Similarly, the body acceleration is biological waveform data obtained from an acceleration sensor attached to a living body, and the number of steps and the amount of activity are biological feature data that can be obtained by analyzing the body acceleration. Normally, the biometric feature amount data has a feature that the amount of data is small compared to the biometric waveform data because some features of the biometric waveform data are extracted.

  As a conventional biological information measuring device, a biological signal transmission type that measures a biological signal and wirelessly transmits it to an external terminal as shown in FIG. 22A, and a biological signal as shown in FIG. There is a biometric feature data transmission type in which, after measurement, biometric feature data is extracted inside the biometric information measurement device and transmitted to an external terminal.

  The biological signal transmission type biological information measuring device 1 includes a biological signal measuring unit 10 that measures a biological signal and a biological signal transmitting unit 11 that transmits the biological signal to the external terminal 2. The external terminal 2 includes a biological signal receiving unit 20 that receives a biological signal transmitted from the biological information measuring device 1 and a biological signal storage unit 21 that stores the received biological signal.

  The biometric feature amount transmitting type biometric information measuring device 1a includes a biometric signal measuring unit 10, a biometric feature amount extracting unit 12 that extracts a biometric feature amount from a biosignal, and a biometric feature that transmits biometric feature amount data to the external terminal 2a. A quantity transmission means 13. The external terminal 2a includes a biometric feature amount receiving unit 22 that receives biometric feature amount data transmitted from the biometric information measuring device 1a, and a biometric feature amount storing unit 23 that stores the received biometric feature amount data.

  The biological signal transmission type biological information measuring apparatus 1 can transfer abundant information to the external terminal 2 and can extract biological feature values from biological signals received on the highly functional external terminal 2 side. Therefore, there is an advantage that the extraction accuracy of the biometric feature amount can be improved. On the other hand, the biometric feature amount transmitting type biometric information measuring device 1a can reduce the amount of data transmitted to the external terminal 2a, and thus has an advantage of being suitable for low power consumption and battery size reduction.

Ali Moti Nasrabadi et al., “Design of ECG acquisition and transmission via Bluetooth with heart disease diagnosis”, IEEE International Workshop on Medical Measurements and Applications Proceedings, pp.55-58, 2011

  Conventional biological information measurement, especially measurement of electrocardiogram waveform, is such that if the contact between the living body (human body) and the biological electrode is not stable, the measurement accuracy deteriorates due to disturbance due to myoelectric contamination. Since it is strongly influenced by the state and posture of the person, it is necessary to grasp the state of the person being measured during recording. However, the conventional technique cannot detect the state of the person being measured. In addition, if there is a lot of disturbance, it is necessary to compensate by robust signal processing in order to extract the feature quantity. However, if the compensation is too effective, normal information will be lost as well as the disturbance.

  Since the degree of disturbance varies depending on the condition of the person being measured, the degree of compensation required may also change, but since the state of the person being measured cannot be detected, the optimum feature quantity extraction method could not be selected. Therefore, since it is necessary to always extract a biometric feature from a biometric signal using a highly accurate biometric feature extraction method, there is a problem that the power consumption of the apparatus increases.

In addition, some biometric features cannot be used on the same basis when the subject is at rest and during activity. However, since the conventional technology cannot grasp the state of the living subject, normalize the biometric feature and Could not be affected by.
Moreover, since the state of the living body cannot be grasped by the conventional technology, it is impossible to grasp the history of how the state of the living body has changed.

The present invention has been made to solve the above-described problems, and an object of the present invention is to provide a biological information measurement system and method that can determine the state of a living body and ensure appropriate quality of a biological signal. .
Another object of the present invention is to provide a biological information measurement system and method that can reduce the power consumption of the apparatus by determining the state of the biological body and selecting an appropriate biological feature amount extraction method. .
It is another object of the present invention to provide a biological information measuring system and method that can determine the state of a living body and normalize the biological feature quantity so as not to be affected by the movement of the living body.
Another object of the present invention is to provide a biological information measurement system and method that can visualize a history of the state of a living body.

  The biological information measuring system of the present invention includes a biological information measuring device and an external terminal that receives information transmitted from the biological information measuring device, and the biological information measuring device is a biological electrode attached to a living body. A biological signal measuring means for measuring a biological signal via a sensor, a sensor data measuring means for reading sensor data of a sensor for detecting a position or movement of the biological information measuring device, and a biological feature quantity for extracting a biological feature quantity from the biological signal An extraction unit, a sensor data transmission unit that transmits the sensor data to the external terminal, a biometric feature amount transmission unit that transmits the biometric feature amount to the external terminal, and a state of the living body based on the sensor data Determining means for switching between simplification / high accuracy of processing of the biometric feature quantity extraction means, and the external terminal is transmitted from the biometric information measurement device. Sensor data receiving means for receiving the received sensor data, sensor data storing means for storing the received sensor data, biometric feature quantity receiving means for receiving the biometric feature quantity transmitted from the biometric information measuring device, and the received biometric data And a biometric feature amount storage means for storing the feature amount.

  The biological information measuring system of the present invention includes a biological information measuring device and an external terminal that receives information transmitted from the biological information measuring device, and the biological information measuring device is a biological electrode attached to a living body. A biological signal measuring means for measuring a biological signal via a sensor, a sensor data measuring means for reading sensor data of a sensor for detecting a position or movement of the biological information measuring device, and a biological signal transmission for transmitting the biological signal to the external terminal Means and sensor data transmitting means for transmitting the sensor data to the external terminal, wherein the external terminal receives a biological signal transmitted from the biological information measuring device, and the biological information measurement Sensor data receiving means for receiving sensor data transmitted from the apparatus, and biometric feature quantity extracting means for extracting a biometric feature quantity from the received biometric signal Sensor data storage means for storing the received sensor data; biometric feature quantity storage means for storing the biometric feature quantity; and determining the state of the living body based on the received sensor data, and the biometric feature quantity extracting means And determining means for switching between simplification and high accuracy of the process.

The biological information measuring system of the present invention includes a biological information measuring device and an external terminal that receives information transmitted from the biological information measuring device, and the biological information measuring device is a biological electrode attached to a living body. a biological signal measuring means for measuring the electrocardiographic waveform through a biometric extracting sensor data measuring means for reading acceleration data of the sensor for detecting the acceleration of the biological information measurement device, the RR50 as biometric feature from the electrocardiographic waveform a feature extraction means, a sensor feature extraction means for extracting the acceleration mean deviation from the acceleration data as the sensor feature quantity, a biometric feature transmitting unit that transmits the RR50 to the external terminal, wherein the acceleration average deviation outside a sensor feature amount transmission means for transmitting to the terminal, to determine the state of the living body on the basis of the average acceleration deviation or the acceleration data, the raw And a the RR50 weighted by the weight corresponding to the state of the weight output means for extracting the biometric feature extracting unit, the external terminal, biometric feature reception means for receiving the RR50 transmitted from the vital information measuring device Biometric feature amount storage means for storing the received RR50 , sensor feature amount reception means for receiving the acceleration average deviation transmitted from the biological information measuring device, and sensor feature amount storage means for storing the received acceleration average deviation Are provided.

The biological information measuring system of the present invention includes a biological information measuring device and an external terminal that receives information transmitted from the biological information measuring device, and the biological information measuring device is a biological electrode attached to a living body. A biological signal measuring means for measuring an electrocardiogram waveform via a sensor; a sensor data measuring means for reading acceleration data of a sensor for detecting an acceleration of the biological information measuring device; and a biological signal transmission for transmitting the electrocardiographic waveform to the external terminal. Means and sensor data transmitting means for transmitting the acceleration data to the external terminal, wherein the external terminal receives an electrocardiogram waveform transmitted from the biological information measuring device, and the biological information a sensor data receiving means for receiving the acceleration data transmitted from the measuring device, biometric feature extraction for extracting RR50 as biometric features from electrocardiogram waveform received It means, a sensor feature extraction means for extracting an acceleration average deviation from the acceleration data as the sensor feature value received, the biometric feature storing means for storing the RR50, a sensor characteristic quantity storing means for storing the acceleration mean deviation A weight output unit that determines the state of the living body based on the acceleration average deviation or the acceleration data, and causes the biological feature amount extracting unit to extract RR50 weighted with a weight according to the state of the living body. It is characterized by.

  The biological information measuring system of the present invention includes a biological information measuring device and an external terminal that receives information transmitted from the biological information measuring device, and the biological information measuring device is a biological electrode attached to a living body. A biological signal measuring means for measuring a biological signal via a sensor, a sensor data measuring means for reading sensor data of a sensor for detecting a position or movement of the biological information measuring device, and a biological feature quantity for extracting a biological feature quantity from the biological signal An extraction means, a sensor feature quantity extraction means for extracting a sensor feature quantity from the sensor data, and a sensor feature quantity on a coordinate plane taking the sensor feature quantity as a first axis and a biometric feature quantity as a second axis. The sensor feature quantity extracted by the quantity extraction means and the biometric feature quantity extracted by the biometric feature quantity extraction means are determined as coordinates indicating the state of the living body. A marker determining means and a coordinate transmitting means for transmitting the coordinates determined by the coordinate determining means to the external terminal, the external terminal receiving a coordinate transmitted from the biological information measuring device; A coordinate storage means for storing the received coordinates, a coordinate plane with the sensor feature quantity taken as the first axis and a biometric feature quantity taken as the second axis are displayed on the coordinate storage means. Coordinate drawing means for drawing a point having stored coordinates is provided.

  The biological information measuring system of the present invention includes a biological information measuring device and an external terminal that receives information transmitted from the biological information measuring device, and the biological information measuring device is a biological electrode attached to a living body. A biological signal measuring means for measuring a biological signal via a sensor, a sensor data measuring means for reading sensor data of a sensor for detecting a position or movement of the biological information measuring device, and a biological feature quantity for extracting a biological feature quantity from the biological signal Extracting means; sensor feature quantity extracting means for extracting sensor feature quantities from the sensor data; biometric feature quantity sending means for sending the biometric feature quantities to the external terminal; and transmitting the sensor feature quantities to the external terminal. Sensor feature quantity transmitting means, wherein the external terminal receives the biometric feature quantity receiving means for receiving the biometric feature quantity transmitted from the biometric information measuring device; A sensor feature amount receiving means for receiving a sensor feature amount transmitted from the information measuring device; a biometric feature amount storing means for storing the received biometric feature amount; a sensor feature amount storing means for storing the received sensor feature amount; The sensor feature quantity stored in the biometric feature quantity storage means and the sensor feature quantity stored in the sensor feature quantity storage means on the coordinate plane taking the sensor feature quantity as the first axis and the biometric feature quantity as the second axis. A coordinate determination means for determining the biological feature amount as coordinates indicating the state of the biological body, a coordinate plane with the sensor feature amount taken as the first axis and the biological feature amount taken as the second axis, Coordinate drawing means for drawing a point having the coordinates determined by the coordinate determination means on a coordinate plane is provided.

  According to the present invention, in the biological information measuring device, the state of the living body is determined based on the sensor data, and the living body signal measuring means or the living body signal transmitting means is started / stopped, thereby the living body signal at rest of the living body. Since the disturbance caused by the large movement of the living body included in the biological signal can be reduced, the appropriate quality of the biological signal can be ensured. Further, in the present invention, the amount of data transmitted from the biological information measuring device to the external terminal is reduced by measuring only the biological signal when the biological body is at rest. It is possible to reduce the size of the battery that drives the measuring device.

  In the present invention, the external terminal determines the state of the living body based on the sensor data received from the biological information measuring device, and starts / stops the biological signal receiving means or the biological signal storage means. Only the biological signal at rest can be stored in the biological signal storage means, and the biological signal containing many disturbances caused by the large movement of the biological body can be prevented from being stored in the biological signal storage means. Appropriate quality can be ensured.

  In the present invention, in the biological information measuring apparatus, when the living body is not moving by determining the state of the living body based on the sensor data and switching the simplification / high accuracy of the processing of the biological feature amount extraction unit In addition, since the calculation load for extracting the biometric feature amount can be reduced, the power consumption of the biometric information measuring device can be reduced, and the battery driving the biometric information measuring device can be reduced in size.

  In the present invention, the external terminal determines the state of the living body based on the sensor data received from the biological information measuring device, and switches between simplification / high accuracy of processing of the biological feature amount extraction unit, thereby Since there is no need to mount the biometric feature quantity extraction unit in the information measuring device, it is possible to realize low power consumption of the biometric information measuring device. Further, in the present invention, when the living body is not moving, the calculation load for extracting the biometric feature amount can be reduced, so that the power consumption of the external terminal can be reduced.

  In the present invention, in the biological information measuring device, the state of the living body is determined based on the sensor feature amount or the sensor data, and the biological feature amount weighted with the weight according to the state of the living body is used as the biological feature amount extraction unit. By extracting, it is possible to obtain a standardized biometric feature amount that takes into consideration the influence of the movement of the living body.

  In the present invention, the external terminal determines the biological state based on the sensor feature amount or the sensor data, and causes the biological feature amount extraction unit to extract the biological feature amount weighted with the weight according to the biological state. As a result, it is possible to obtain a standardized biometric feature amount that takes into consideration the influence of the movement of the living body. Further, in the present invention, since there is no need to mount the biometric feature amount extraction unit in the biometric information measuring device, it is possible to realize low power consumption of the biometric information measuring device.

  In the present invention, in the biological information measuring device, the sensor feature amount extracted by the sensor feature amount extraction unit on the coordinate plane having the sensor feature amount on the first axis and the biological feature amount on the second axis. And the biometric feature amount extracted by the biometric feature amount extracting means are determined as coordinates indicating the state of the living body, and a coordinate plane is displayed on the external terminal, and stored on the coordinate storage means on this coordinate plane By drawing the point having the coordinates, the person to be measured or a third party who sees the display can reasonably grasp the state of the person to be measured.

  In the present invention, the biometric feature quantity and the sensor feature quantity are transmitted from the biometric information measuring apparatus to the external terminal, and the sensor feature quantity is taken as the first axis and the biometric feature quantity is taken as the second axis in the external terminal. On the coordinate plane, the sensor feature quantity stored in the sensor feature quantity storage means and the biometric feature quantity stored in the biometric feature quantity storage means are determined as coordinates indicating the state of the living body, and the coordinate plane is displayed, By drawing a point having the coordinates determined by the coordinate determination means on this coordinate plane, the measured person or third party who sees the display can reasonably grasp the state of the measured person. Become. Further, in the present invention, since there is no need to mount coordinate determination means on the biological information measuring device, it is possible to realize low power consumption of the biological information measuring device.

It is a block diagram which shows the structure of the biometric information measurement system which concerns on the 1st reference example of this invention. It is a flowchart which shows operation | movement of the biometric information measuring apparatus and external terminal which concern on the 1st reference example of this invention. It is a figure which shows the example of the biosignal and sensor data which concern on the 1st reference example of this invention. It is a flowchart which shows another operation | movement of the biometric information measuring apparatus which concerns on the 1st reference example of this invention. It is a block diagram which shows the structure of the biometric information measurement system which concerns on the 2nd reference example of this invention. It is a flowchart which shows operation | movement of the biometric information measuring apparatus and external terminal which concern on the 2nd reference example of this invention. It is a flowchart which shows another operation | movement of the external terminal which concerns on the 2nd reference example of this invention. It is a block diagram which shows the structure of the biometric information measurement system which concerns on the 1st Embodiment of this invention. It is a flowchart which shows operation | movement of the biometric information measuring apparatus which concerns on the 1st Embodiment of this invention. It is a block diagram which shows the structure of the biometric information measurement system which concerns on the 2nd Embodiment of this invention. It is a flowchart which shows operation | movement of the external terminal which concerns on the 2nd Embodiment of this invention. It is a block diagram which shows the structure of the biometric information measurement system which concerns on the 3rd Embodiment of this invention. It is a flowchart which shows operation | movement of the biometric information measuring apparatus and external terminal which concern on the 3rd Embodiment of this invention. It is a figure which shows the example of the biometric feature-value and sensor feature-value which concern on the 3rd Embodiment of this invention. It is a block diagram which shows the structure of the biometric information measurement system which concerns on the 4th Embodiment of this invention. It is a flowchart which shows operation | movement of the external terminal which concerns on the 4th Embodiment of this invention. It is a block diagram which shows the structure of the biometric information measurement system which concerns on the 5th Embodiment of this invention. It is a flowchart which shows the operation | movement of the biometric information measuring apparatus and external terminal which concern on the 5th Embodiment of this invention. It is a figure explaining the drawing method of the log | history of the biometric feature-value and sensor feature-value based on the 5th Embodiment of this invention. It is a block diagram which shows the structure of the biometric information measurement system which concerns on the 6th Embodiment of this invention. It is a flowchart which shows operation | movement of the biometric information measuring apparatus and external terminal which concern on the 6th Embodiment of this invention. It is a block diagram which shows the structure of the conventional biological information measuring device.

  Hereinafter, an embodiment for carrying out the present invention will be described with reference to the drawings. However, the present invention can be implemented in many different modes and should not be construed as being limited to the description of the following embodiments. In the present invention, biological signals, biological feature values, sensor data, and sensor feature values are collectively referred to as biological information.

[ First Reference Example ]
FIG. 1 is a block diagram showing a configuration of a biological information measuring system according to this reference example . The biological information measuring system includes a biological information measuring device 1b and an external terminal 2b.
The biological information measuring device 1b includes a biological signal measuring unit 10 that reads a voltage of a biological electrode (not shown) attached to the living body as a biological signal, and a biological signal transmission that transmits the biological signal to the external terminal 2b by wired communication or wireless communication. Means 11; sensor data measuring means 14 for reading sensor data of a sensor for detecting the position or movement of the biological information measuring device 1b; and sensor data transmitting means 15 for transmitting the sensor data to the external terminal 2b by wired communication or wireless communication. And a determination means 16 for determining the state of the living body (the person to be measured) based on the sensor data and starting / stopping the biological signal measuring means 10.

  The external terminal 2b includes a biological signal receiving unit 20 that receives a biological signal transmitted from the biological information measuring device 1b, a biological signal storage unit 21 that stores and stores the received biological signal, and a transmission from the biological information measuring device 1b. Sensor data receiving means 24 for receiving the received sensor data, and sensor data storage means 25 for storing and storing the received sensor data.

Hereinafter, the operation of the biological information measurement system of this reference example will be described with reference to FIGS. 2 (A), 2 (B), and 3. FIG. 2A is a flowchart showing the operation of the biological information measuring device 1b, FIG. 2B is a flowchart showing the operation of the external terminal 2b, and FIG. 3 is a diagram showing an example of a biological signal and sensor data according to this reference example . It is.

  The sensor data measuring means 14 of the biological information measuring device 1b reads sensor data (acceleration data) from an acceleration sensor (not shown) provided in the biological information measuring device 1b, or GPS provided in the biological information measuring device 1b. Sensor data (position data) is read from the (Global Positioning System) sensor (FIG. 2A, step S100).

  When the biological signal measuring unit 10 is operating (YES in step S101 in FIG. 2A), the determining unit 16 stops the operation of the biological signal measuring unit 10 based on the sensor data measured by the sensor data measuring unit 14. It is determined whether or not to be performed (step S102 in FIG. 2A).

When it is determined that the operation of the biological signal measuring unit 10 should be continued (NO in step S102), the biological signal measuring unit 10 reads the voltage of the biological electrode attached to the living body, that is, the biological signal (FIG. 2A). ) Step S103).
Then, the biological signal transmitting unit 11 transmits the biological signal measured by the biological signal measuring unit 10 to the external terminal 2b, and at the same time, the sensor data transmitting unit 15 transmits the sensor data measured by the sensor data measuring unit 14 to the external terminal. 2b (step S104 in FIG. 2A).

  When the biological signal receiving means 20 of the external terminal 2b receives the biological signal transmitted from the biological information measuring apparatus 1b, and the sensor data receiving means 24 receives the sensor data transmitted from the biological information measuring apparatus 1b (FIG. 2B ) In step S200, the biological signal is stored in the biological signal storage means 21, and the sensor data is stored in the sensor data storage means 25 (FIG. 2B, step S201).

  On the other hand, when the determination unit 16 of the biological information measurement device 1b determines that the operation of the biological signal measurement unit 10 should be stopped (YES in step S102), the determination unit 16 outputs a stop signal to the biological signal measurement unit 10 (FIG. 2 (A) Step S105). In response to the output of the stop signal, the operation of the biological signal measuring means 10 is stopped, whereby the measurement of the biological signal is stopped (step S106 in FIG. 2A).

When the measurement of the biological signal is stopped, only the sensor data is transmitted by the sensor data transmitting means 15 (step S107 in FIG. 2A).
When the biological signal receiving unit 20 of the external terminal 2b does not receive the biological signal and the sensor data receiving unit 24 receives only the sensor data (YES in step S202 in FIG. 2B), the sensor data is stored in the sensor data storage unit 25. Stored (step S203 in FIG. 2B).

  In addition, the determination unit 16 of the biological information measurement device 1b determines that the biological signal measurement unit 10 is based on the sensor data when the biological signal measurement unit 10 is stopped when the sensor data is measured (NO in step S101). It is determined whether or not to start (step S108 in FIG. 2A). When determining unit 16 determines that biological signal measuring unit 10 should be activated (YES in step S108), it outputs an activation signal to biological signal measuring unit 10 (step S109 in FIG. 2A). In response to the output of the activation signal, the biological signal measuring means 10 is activated to measure the biological signal (step S103). The process of step S104 is as described above.

On the other hand, if it is determined that the stop of the biological signal measuring unit 10 should be continued (NO in step S108), the measurement of the biological signal remains stopped, and only the sensor data is transmitted by the sensor data transmitting unit 15. (Step S110 in FIG. 2A).
The biological information measuring device 1b repeatedly executes the operation as shown in FIG.

In this reference example , when measurement of a biological signal is stopped, only sensor data is transmitted to the external terminal 2b. However, in this reference example , transmitting sensor data to the external terminal 2b is an indispensable constituent requirement. Absent.

  Next, the determination operation of the determination unit 16 will be specifically described with reference to FIG. Here, an electrocardiogram waveform is used as an example of the biological signal, acceleration data is used as an example of the sensor data, the state of the measurement subject wearing the biological electrode is identified by the acceleration data, and the biological information is measured. An example of performing electrocardiogram recording in a suitable situation will be described. FIG. 3 shows an example of changes over time of the biological signal (electrocardiogram waveform) D1 and the sensor data (acceleration data) D2.

  The determination means 16 is a situation in which the person being measured is moving when the number of times the sensor data (acceleration data) D2 exceeds the predetermined threshold TH within a predetermined time is a predetermined number of times or more, and is suitable for measurement of a biological signal. When the biological signal measuring means 10 is operating, it is determined that the operation of the biological signal measuring means 10 should be stopped. When the biological signal measuring means 10 is stopped, the biological signal measuring means 10 It is determined that the stop should be continued.

  Moreover, the determination means 16 is a situation suitable for measurement of a biological signal when the sensor data (acceleration data) D2 exceeds the threshold value TH within a predetermined time is less than a predetermined number of times, and the person to be measured is resting. When the biological signal measuring means 10 is operating, it is determined that the operation of the biological signal measuring means 10 should be continued, and when the biological signal measuring means 10 is stopped, the biological signal measuring means 10 is activated. Judge that it should be.

  In the example of FIG. 3, it is determined that the measurement subject is resting in the period T1 and is suitable for the measurement of the biological signal, and the measurement subject is moving in the period T2. It is determined that the situation is not suitable for signal measurement.

Thus, in this reference example , only the biological signal at the time of the measurement subject's rest can be measured, and the disturbance caused by the large movement of the measurement subject included in the biological signal can be reduced. The proper quality can be ensured. In this reference example , the amount of data transmitted from the biological information measuring device 1b to the external terminal 2b is reduced by measuring only the biological signal at the time of the measurement subject's rest, so that the low consumption of the biological information measuring device 1b. It is possible to realize electric power and downsizing of the battery that drives the biological information measuring device 1b.

In this reference example , the determination unit 16 controls the activation / stop of the biological signal measurement unit 10 based on the sensor data, but the present invention is not limited to this, and the biological signal is indicated by a broken line arrow in FIG. You may make it control starting / stop of the transmission means 11. FIG. The operation of the biological information measuring device 1b in this case is shown in FIG. In FIG. 4, the same processes as those in FIG.

In the example of FIG. 4, the biological signal measuring means 10 of the biological information measuring device 1b is always operating and measuring the biological signal (step S111 in FIG. 4).
Whether the biological signal transmission unit 11 should stop the operation based on the sensor data measured by the sensor data measurement unit 14 when the biological signal transmission unit 11 is operating (YES in step S112 in FIG. 4). Is determined (step S113 in FIG. 4). When it is determined that the operation of the biological signal transmission unit 11 should be continued as in the determination in step S102 (NO in step S113), the process in step S104 is executed.

  On the other hand, when it is determined that the operation of the biological signal transmission unit 11 should be stopped (YES in step S113), the determination unit 16 outputs a stop signal to the biological signal transmission unit 11 (step S114 in FIG. 4). In response to the output of the stop signal, the operation of the biological signal transmitter 11 is stopped (step S115 in FIG. 4), and the process of step S107 is executed.

  Further, when the biological signal transmission unit 11 is stopped (NO in step S112), the determination unit 16 determines whether the biological signal transmission unit 11 should be activated based on the sensor data (step S116 in FIG. 4). If it is determined that the biological signal transmission unit 11 should be activated (YES in step S116), the determination unit 16 outputs an activation signal to the biological signal transmission unit 11 (step S117 in FIG. 4). ). The biological signal transmission unit 11 is activated in response to the output of the activation signal, whereby the process of step S104 is executed.

On the other hand, when it is determined that the stop of biological signal transmission unit 11 should be continued (NO in step S116), the process of step S110 is executed.
Thus, the effects of the present reference example described above can also be obtained by the operation as shown in FIG.

[ Second Reference Example ]
Next, a second reference example of the present invention will be described. FIG. 5 is a block diagram showing the configuration of the biological information measuring system according to this reference example . The same components as those in FIG. The biometric information measurement system of this reference example includes a biometric information measurement device 1c and an external terminal 2c.

The biological information measuring device 1c includes a biological signal measuring unit 10, a biological signal transmitting unit 11, a sensor data measuring unit 14, and a sensor data transmitting unit 15.
The external terminal 2c determines the state of the person to be measured based on the biological signal receiving means 20, the biological signal storage means 21, the sensor data receiving means 24, the sensor data storage means 25, and the received sensor data. And a determination unit 26 for starting / stopping the biological signal storage unit 21.

Hereinafter, the operation of the biological information measurement system of this reference example will be described with reference to FIGS. 6 (A) and 6 (B). 6A is a flowchart showing the operation of the biological information measuring apparatus 1c, and FIG. 6B is a flowchart showing the operation of the external terminal 2c.

The sensor data measuring means 14 of the biological information measuring device 1c measures sensor data (FIG. 6A, step S120), and the biological signal measuring means 10 measures a biological signal (FIG. 6A, step S121).
The biological signal transmission unit 11 transmits the biological signal measured by the biological signal measurement unit 10 to the external terminal 2c, and at the same time, the sensor data transmission unit 15 transmits the sensor data measured by the sensor data measurement unit 14 to the external terminal 2c. It transmits (FIG. 6 (A) step S122).

  When the biological signal receiving means 20 of the external terminal 2c receives the biological signal transmitted from the biological information measuring apparatus 1c, and the sensor data receiving means 24 receives the sensor data transmitted from the biological information measuring apparatus 1c (FIG. 6B ) Step S210), the determination means 26 is the biological signal storage means based on the sensor data received by the sensor data receiving means 24 when the biological signal storage means 21 is operating (YES in step S211 in FIG. 6B). It is determined whether or not the operation of 21 should be stopped (step S212 in FIG. 6B). The determination operation of the determination unit 26 at this time is the same as the determination operation of the determination unit 16 in step S102 of FIG.

  When it is determined that the operation of the biological signal storage unit 21 should be continued (NO in step S212), the biological signal is stored in the biological signal storage unit 21 and the sensor data is stored in the sensor data storage unit 25 (FIG. 6). (B) Step S213).

  On the other hand, when the determination unit 26 determines that the operation of the biological signal storage unit 21 should be stopped (YES in step S212), the determination unit 26 outputs a stop signal to the biological signal storage unit 21 (step S214 in FIG. 6B). ). By stopping the operation of the biological signal storage means 21 in response to the output of the stop signal, only the sensor data is stored in the sensor data storage means 25 (step S215 in FIG. 6B).

  In addition, when the biological signal storage unit 21 is stopped when receiving the biological signal and the sensor data from the biological information measuring device 1c (NO in step S211), the determination unit 26 determines the biological signal storage unit based on the sensor data. It is determined whether or not 21 should be activated (step S216 in FIG. 6B). The determination operation of the determination unit 26 at this time is the same as the determination operation of the determination unit 16 in step S108 of FIG.

  If the determination unit 26 determines that the biological signal storage unit 21 should be started (YES in step S216), the determination unit 26 outputs an activation signal to the biological signal storage unit 21 (step S217 in FIG. 6B). The biological signal storage unit 21 is activated in response to the output of the activation signal, whereby the process of step S213 is executed.

On the other hand, when it is determined that the stop of the biological signal storage means 21 should be continued (NO in step S216), the biological signal storage means 21 remains stopped, so that only sensor data is stored in the sensor data storage means 25. (Step S218 in FIG. 6B).
The biological information measuring device 1c repeatedly executes the operation as shown in FIG.

In this way, in this reference example , only the biological signal at rest of the person to be measured can be stored in the biological signal storage means 21, and the biological signal containing many disturbances caused by the large movement of the person to be measured is stored in the biological signal storage means. Therefore, it is possible to ensure proper quality of the biological signal. Further, in this reference example , the biological information measuring device 1c is further downsized because the biological information measuring device 1c is not required to be equipped with the function of switching the start / stop of the biological signal measuring means 10 as compared with the first reference example. be able to.

In this reference example , the determination unit 26 controls the start / stop of the biological signal storage unit 21 based on the sensor data. However, the present invention is not limited to this, and the biological signal is indicated by a broken line arrow in FIG. You may make it control starting / stop of the receiving means 20. FIG. The operation of the external terminal 2c in this case is shown in FIG. In FIG. 7, the same processes as those in FIG. 6B are denoted by the same reference numerals.

  In the example of FIG. 7, the sensor data receiving unit 24 of the external terminal 2c receives the sensor data transmitted from the biological information measuring device 1c (step S219 in FIG. 7). At this time, the biological signal receiving unit 20 may receive a biological signal transmitted from the biological information measuring device 1c during operation, or may not be able to receive a biological signal while stopped.

  When the sensor data receiving means 24 receives the sensor data, the determination means 26 is based on the sensor data received by the sensor data receiving means 24 when the biological signal receiving means 20 is operating (YES in step S220 in FIG. 7). It is determined whether or not the operation of the biological signal receiving means 20 should be stopped (step S221 in FIG. 7). When it is determined that the operation of the biological signal receiving unit 20 should be continued as in the determination in step S212 (NO in step S221), the process in step S213 is executed.

  On the other hand, when determining unit 26 determines that the operation of biological signal receiving unit 20 should be stopped (YES in step S221), it outputs a stop signal to biological signal receiving unit 20 (step S222 in FIG. 7). In response to the output of the stop signal, the biological signal receiving means 20 stops. At this time, since the biological signal has already been received by the biological signal receiving means 20 that has been operating, the process of step S213 is executed. When the sensor data is received next time, the biological signal receiving means 20 Therefore, only the sensor data is stored in the sensor data storage means 25.

  Further, when the biological signal receiving unit 20 is stopped (NO in step S220), the determining unit 26 determines whether the biological signal receiving unit 20 should be activated based on the sensor data (step S223 in FIG. 7). If the determination means 26 determines that the biological signal receiving means 20 should be activated in the same manner as the determination in step S216 (YES in step S223), it outputs an activation signal to the biological signal receiving means 20 (step S224 in FIG. 7). ). In response to the output of the activation signal, the biological signal receiving unit 20 is activated, and the biological signal is received by the biological signal receiving unit 20, so that the process of step S213 is executed.

On the other hand, when it is determined that the stop of biological signal receiving means 20 should be continued (NO in step S223), the process of step S218 is executed.
Thus, the effects of the present reference example described above can also be obtained by the operation as shown in FIG.

In addition, instead of the start / stop switching of each means described in the first and second reference examples , bit information for identifying whether or not the sensor data exceeds a certain threshold value TH may be added to the biological signal. As a result, it is possible to take measures against disturbance such as performing strong compensation only on the data area to which a bit indicating that the threshold value TH has been exceeded is added, and to select the signal processing method according to the quality of the data. be able to.

[ First Embodiment ]
Next, a first embodiment of the present invention will be described. FIG. 8 is a block diagram showing the configuration of the biological information measuring system according to the present embodiment, and the same components as those in FIGS. 1 and 5 are given the same reference numerals. The biological information measuring system of the present embodiment includes a biological information measuring device 1d and an external terminal 2d.

  The biological information measuring device 1d determines the state of the person to be measured based on the biological signal measuring means 10, the sensor data measuring means 14, the sensor data transmitting means 15, and the sensor data, and a biometric feature amount extracting means described later. 17 is a determination unit 16d that switches between simplification / high accuracy of processing, a biometric feature amount extraction unit 17 that extracts a biometric feature amount such as heart rate, heart rate fluctuation, and electrocardiographic spectrum from a biometric signal, and a biometric feature amount is wired. Biometric feature amount transmitting means 18 for transmitting to the external terminal 2d by communication or wireless communication.

  The external terminal 2d stores sensor data receiving means 24, sensor data storage means 25, biometric feature quantity receiving means 27 for receiving the biometric feature quantity transmitted from the biometric information measuring device 1d, and the received biometric feature quantity. And biometric feature amount storage means 28 for storing.

This embodiment is a modification of the first reference example . The biological information measuring device 1b of the first reference example is a biological signal transmission type biological information measuring device, whereas the biological information measuring device 1d of the present embodiment is a biological feature value transmission type biological information measuring device. .

Hereinafter, the operation of the biological information measurement system of the present embodiment will be described with reference to FIGS. 9 (A) and 9 (B). FIG. 9A is a flowchart showing the operation of the biological information measuring apparatus 1d, and FIG. 9B is a flowchart showing the operation of the external terminal 2d.
The sensor data measuring means 14 of the biological information measuring device 1d measures sensor data (FIG. 9A, step S130), and the biological signal measuring means 10 measures a biological signal (FIG. 9A, step S131).

  The determination unit 16d of the biological information measuring apparatus 1d determines whether the measurement subject is moving based on the sensor data measured by the sensor data measurement unit 14 (step S132 in FIG. 9A). If the determination unit 16d determines that the person to be measured is not moving, the determination unit 16d outputs a signal instructing the biometric feature amount extraction unit 17 to simplify the biometric feature amount extraction process (FIG. 9A, step S133). ). In response to this instruction, the biometric feature quantity extraction unit 17 extracts the biometric feature quantity from the biometric signal by a simplified process (step S134 in FIG. 9A).

  The sensor data transmission means 15 of the biological information measuring device 1d transmits the sensor data measured by the sensor data measurement means 14 to the external terminal 2d, and at the same time, the biological feature quantity transmission means 18 is extracted by the biological feature quantity extraction means 17. The biometric feature value is transmitted to the external terminal 2d (step S135 in FIG. 9A).

On the other hand, if the determination unit 16d determines that the measurement subject is moving (YES in step S132), the determination unit 16d outputs a signal instructing the biometric feature amount extraction unit 17 to increase the accuracy of the biometric feature amount extraction process. (Step S136 in FIG. 9A). In response to this instruction, the biometric feature quantity extraction unit 17 extracts the biometric feature quantity from the biometric signal with higher accuracy than in the case of step S134 (step S137 in FIG. 9A). The process of step S135 is as described above.
The biological information measuring apparatus 1d repeatedly executes the operation as shown in FIG.

The sensor data receiving unit 24 of the external terminal 2d receives the sensor data transmitted from the biological information measuring device 1d, and the biological feature amount receiving unit 27 receives the biological feature amount transmitted from the biological information measuring device 1d ( FIG. 9 (B) Step S230).
The sensor data received by the sensor data receiving means 24 is stored in the sensor data storage means 25, and the biometric feature quantity received by the biometric feature quantity receiving means 27 is stored in the biometric feature quantity storage means 28 (FIG. 9). (B) Step S231).

  Next, the operations of the determination unit 16 and the biometric feature amount extraction unit 17 will be specifically described with reference to FIG. When the number of times the sensor data (acceleration data) D2 exceeds the threshold value TH within a predetermined time is less than the predetermined number, the determination unit 16d is in a situation where the measurement subject is resting and is suitable for simple extraction processing of biometric features. It is determined that this is a situation. In addition, the determination unit 16d is a situation in which the person to be measured is moving when the number of times the sensor data (acceleration data) D2 exceeds the predetermined threshold TH within a predetermined time is equal to or greater than the predetermined number, and the biometric feature amount is simplified. It is determined that it is not a situation suitable for a simple extraction process, but a situation in which the biometric feature amount extraction process should be highly accurate. In the example of FIG. 3, it is determined that the measurement subject is not moving in a quiet state during the period T1, and it is determined that the measurement subject is moving during the period T2.

  In the present embodiment, if it is determined that the person to be measured is not moving, the biometric feature quantity extraction unit 17 selects a simple process in the biometric feature quantity extraction process. For example, the number of data used to obtain the standard deviation, variance, and spectrum of the electrocardiographic waveform as the biometric feature quantity is implemented with a smaller number of points than when body motion occurs. That is, when the measured person is moving, the biometric feature amount is calculated with a data score of 100 points for 1 second at intervals of 0.01 seconds, and when the measured person is not moving, the interval is 0.1 seconds. The biometric feature amount is calculated for 1 second, that is, 10 data points. As described above, when the measurement subject is not moving, the biometric feature amount extraction unit 17 reduces the number of samples for biometric feature amount extraction, and improves real-time performance while ensuring accuracy. In addition, when the measurement subject is moving, the biometric feature quantity extraction unit 17 increases the number of samples for biometric feature quantity extraction, and reliably obtains the biometric feature quantity.

  In this way, in the present embodiment, when the measurement subject is not moving, the calculation load for extracting the biometric feature amount can be reduced. Therefore, the power consumption of the biometric information measurement apparatus 1d can be reduced, and the biometric information measurement apparatus can be reduced. It is possible to reduce the size of the battery that drives 1d.

  Note that when switching from a situation in which the measurement subject is not moving to a situation in which the subject is moving, the biometric feature value is calculated using only the biometric signals up to the time of switching, without adopting the biosignal after the time of switching. May be. Thereby, data can be distinguished on the basis of a change in the state of the person being measured, it is possible to prevent extraction of the biometric feature amount using inappropriate data, and an accurate biometric feature amount can be obtained.

  In the present embodiment, the biometric feature amount extraction process is switched according to the sensor data. However, in the filter process preceding the extraction process, for example, the compensation by the low-pass filter is performed only when the measurement subject is moving. You may make it switch the necessity of signal processing, such as implementing.

[ Second Embodiment ]
Next, a second embodiment of the present invention will be described. FIG. 10 is a block diagram showing the configuration of the biological information measuring system according to the present embodiment, and the same components as those in FIGS. 1, 5, and 8 are given the same reference numerals. The biological information measurement system according to the present embodiment includes a biological information measuring device 1e and an external terminal 2e. The configuration of the biological information measuring device 1e is the same as the biological information measuring device 1c of the second reference example .

  The external terminal 2e determines the state of the person to be measured based on the biological signal receiving means 20, the sensor data receiving means 24, the sensor data storage means 25, and the received sensor data, and the biometric feature amount extracting means described later. 29 includes a determination unit 26e that switches between simplification / high accuracy of processing 29, a biometric feature amount extraction unit 29 that extracts a biometric feature amount from the received biometric signal, and a biometric feature amount storage unit 28.

This embodiment is a modification of the second reference example . Hereinafter, the operation of the biological information measurement system of the present embodiment will be described with reference to FIG. FIG. 11 is a flowchart showing the operation of the external terminal 2e.
First, the operation of the biological information measuring device 1e is the same as that of the biological information measuring device 1c of the second reference example .

  When the biological signal receiving unit 20 of the external terminal 2e receives the biological signal transmitted from the biological information measuring device 1e, and the sensor data receiving unit 24 receives the sensor data transmitted from the biological information measuring device 1e (step S240 in FIG. 11). ), The determination unit 26e determines whether or not the measurement subject is moving based on the sensor data received by the sensor data reception unit 24 (step S241 in FIG. 11). Since the determination operation of the determination unit 26e at this time is the same as the determination operation of the determination unit 16d in step S132 of FIG. 9, detailed description thereof is omitted.

  If the determination unit 26e determines that the subject is not moving, the determination unit 26e outputs a signal instructing the biometric feature amount extraction unit 29 to simplify the biometric feature amount extraction process (step S242 in FIG. 11). In response to this instruction, the biometric feature amount extraction unit 29 extracts the biometric feature amount from the biometric signal by a simplified process (step S243 in FIG. 11). Since the operation of the biometric feature amount extracting unit 29 at this time is the same as the operation of the biometric feature amount extracting unit 17 in step S134 of FIG. 9, detailed description thereof is omitted.

  The sensor data received by the sensor data receiving unit 24 is stored in the sensor data storage unit 25, and the biometric feature amount extracted by the biometric feature amount extraction unit 29 is stored in the biometric feature amount storage unit 28 (step S244 in FIG. 11). ).

  On the other hand, if the determination unit 26d determines that the measurement subject is moving (YES in step S241), the determination unit 26d outputs a signal instructing the biometric feature amount extraction unit 29 to increase the accuracy of the biometric feature amount extraction process. (Step S245 in FIG. 11). In response to this instruction, the biometric feature quantity extraction unit 29 extracts the biometric feature quantity from the biometric signal with higher accuracy than in the case of step S243 (step S246 in FIG. 11). Since the operation of the biometric feature amount extraction unit 29 at this time is the same as the operation of the biometric feature amount extraction unit 17 in step S137 of FIG. 9, detailed description thereof is omitted. The process of step S244 is as described above.

Thus, in the present embodiment, it is not necessary to mount the biometric feature quantity extraction unit in the biometric information measuring device 1e as compared with the first embodiment, so that the biometric information measuring device 1e can be further reduced in power consumption and reduced in size. Can be realized.

[ Third Embodiment ]
Next, a third embodiment of the present invention will be described. FIG. 12 is a block diagram showing the configuration of the biological information measuring system according to the present embodiment, and the same components as those in FIGS. 1, 5, 8, and 10 are given the same reference numerals. The biological information measuring system according to the present embodiment includes a biological information measuring device 1f and an external terminal 2f.

  The biological information measuring device 1f includes a biological signal measuring unit 10, a sensor data measuring unit 14, a biological feature amount extracting unit 17f, a biological feature amount transmitting unit 18, and variance, standard deviation, average deviation, spectrum, and the like from sensor data. Sensor feature quantity extraction means 19 for extracting the sensor feature quantity, and the biometric feature quantity determined based on the sensor feature quantity or sensor data and weighted with a weight according to the condition of the subject person Weight output means 30 for extracting the biometric feature quantity extraction means 17f, and sensor feature quantity transmission means 31 for transmitting the sensor feature quantity to the external terminal 2f by wired communication or wireless communication.

  The external terminal 2f includes a biometric feature receiving unit 27, a biometric feature storing unit 28, a sensor feature receiving unit 40 that receives the sensor feature transmitted from the biometric information measuring device 1f, and the received sensor feature. Sensor feature quantity storage means 41 is provided for storing and storing.

The present embodiment is a modification of the first reference example and the first embodiment . Hereinafter, the operation of the biological information measurement system of this embodiment will be described with reference to FIGS. 13 (A), 13 (B), and 14. FIG. FIG. 13A is a flowchart showing the operation of the biological information measuring apparatus 1f, FIG. 13B is a flowchart showing the operation of the external terminal 2f, and FIG. 14 is an example of the biological feature quantity and sensor feature quantity according to the present embodiment. FIG.

  The sensor data measuring means 14 of the biological information measuring device 1f measures sensor data (FIG. 13A, step S140), and the biological signal measuring means 10 measures a biological signal (FIG. 13A, step S141).

The sensor feature quantity extraction unit 19 extracts the sensor feature quantity from the sensor data measured by the sensor data measurement unit 14 (step S142 in FIG. 13A).
The weight output means 30 outputs the value of the weight w corresponding to the sensor feature quantity or sensor data to the biometric feature quantity extraction means 17f (FIG. 13A, step S143).

The biometric feature quantity extraction unit 17f extracts the biometric feature quantity weighted by the weight w from the biometric signal measured by the biometric signal measurement unit 10 (step S144 in FIG. 13A).
The biometric feature amount transmitting unit 18 of the biometric information measuring device 1f transmits the biometric feature amount extracted by the biometric feature amount extracting unit 17f to the external terminal 2f, and at the same time, the sensor feature amount transmitting unit 31 includes the sensor feature amount extracting unit 19f. Is transmitted to the external terminal 2f (FIG. 13A, step S145).
The biological information measuring device 1f repeatedly executes the operation as shown in FIG.

The biometric feature amount receiving unit 27 of the external terminal 2f receives the biometric feature amount transmitted from the biometric information measuring device 1f, and the sensor feature amount receiving unit 40 receives the sensor feature amount transmitted from the biometric information measuring device 1f. (Step S250 in FIG. 13B).
The biometric feature received by the biometric feature receiving unit 27 is stored in the biometric feature storing unit 28, and the sensor feature received by the sensor feature receiving unit 40 is stored in the sensor feature storing unit 41. (FIG. 13 (B) Step S251).

Next, the operations of the sensor feature amount extraction unit 19, the weight output unit 30, and the biometric feature amount extraction unit 17f will be specifically described with reference to FIG. Here, an electrocardiogram waveform is used as an example of a biological signal, RR50 is used as an example of a biological feature, acceleration data is used as an example of sensor data, and an acceleration average deviation is used as an example of a sensor feature Will be described. The RR interval is the interval between the R wave and the next R wave in the electrocardiogram, and RR50 is the ratio at which the difference between adjacent RR intervals is 50 milliseconds or more for a certain period or a certain number of RR intervals. is there. FIG. 14 shows an example of changes over time of the biological feature (RR50) D3 and sensor feature (acceleration average deviation) D4.
The average acceleration deviation is expressed by the following equation.

In Expression (1), n is the total number of time-series acceleration data used for obtaining the average acceleration deviation. i is a symbol representing the i-th time-series acceleration data used for obtaining the average acceleration deviation, and takes an integer from 1 to n. a _i is the i-th acceleration data, and bar a is an average value of n pieces of acceleration data. On the other hand, RR50 is represented by the following formula.
(The number of data satisfying | RR _{j + 1} −RR _j |> 50 [ms]) × 100 / m (2)

  M in Equation (2) is a symbol representing the total number of time-series RR interval data used to determine RR50. j is a symbol representing the j-th time-series RR interval data used for obtaining RR50, and takes an integer from 1 to m. As described above, the RR interval represents the time interval of the R wave in the electrocardiogram waveform.

  The RR50 is used in the autonomic nervous function test and is used as an index reflecting the parasympathetic nerve function. Parasympathetic nerve activation is associated with relaxation and tension, and RR50 is by extension an index related to relaxation and tension. However, autonomic function tests are usually measured at rest. Since the RR interval becomes narrow due to an increase in heart rate during activity, RR50 cannot be applied on the same basis at rest and during activity.

Therefore, in the present embodiment, a sensor feature amount indicating the degree of activity of the measurement subject is extracted from the sensor data, and the RR50, that is, the biometric feature amount is corrected by the sensor feature amount, so that any activity can be performed. Make it possible to obtain biometric features. For example, the weight w is given to the RR50 expression of Expression (2) as follows.
(Number of data satisfying | RR _{j + 1} −RR _j |> 50 [ms]) × 100 × w / m
... (3)

  In the present embodiment, the weight output means 30 outputs a weight w that is inversely proportional to the value of the sensor feature amount (or sensor data). For example, the weight w is set to 1.0 when the subject is resting, the weight w is set to 0.6 when walking, and the weight w is set to 0.3 when running. In accordance with such a weight w, the biometric feature amount extraction unit 17f can calculate the biometric feature amount (RR50) by the equation (3). Therefore, it is possible to obtain a biometric feature amount that takes into consideration the influence of the movement of the measurement subject, and to grasp the activity state of the measurement subject regardless of whether they are at rest or during action.

  As a method for the biological information measuring device 1f to grasp the subject's rest, walking, and running, there is a method of grasping from the measured sensor data. When acceleration data is used as sensor data, if the measured person is stationary, the value of the measured triaxial synthetic acceleration coincides with 1 (G) of the gravitational acceleration. Grasp with the amount of change. For example, if the acceleration data is within a range of 0.9 (G) to 1.1 (G) near 1 (G) for a certain period, the weight output means 30 determines that the measurement subject is in a resting state, The weight w = 1.0 is output.

  When the person being measured is walking or running, the acceleration data of the person being measured is included in addition to the gravitational acceleration, and therefore, the acceleration data has a value that deviates from the vicinity of 1 (G). From this, the weight output means 30 determines that the measurement subject is walking when the acceleration data is within the range of 0.7 (G) to 1.3 (G) for a certain period of time, and the weight Output w = 0.6. Further, when the acceleration data includes a value exceeding the range of 0.7 (G) to 1.3 (G), the weight output means 30 determines that the measurement subject is traveling, and the weight w = Outputs 0.3.

In the example of FIG. 14, it is determined that the subject is in a resting state during the period T3, it is determined that the subject is walking during the period T4, and the subject is measured during the period T5. It is determined that the vehicle is traveling.
Thus, in the present embodiment, it is possible to obtain a biometric feature amount that takes into account the influence of the movement of the measurement subject. In this embodiment, the degree of activity of the measured person is determined based on the sensor data (acceleration data), but the degree of activity of the measured person is determined based on the sensor feature amount (acceleration average deviation). You may judge.

[ Fourth Embodiment ]
Next, a fourth embodiment of the present invention will be described. FIG. 15 is a block diagram showing the configuration of the biological information measuring system according to the present embodiment, and the same components as those in FIGS. 1, 5, 8, 10, and 12 are given the same reference numerals. . The biological information measuring system of the present embodiment includes a biological information measuring device 1g and an external terminal 2g. The configuration of the biological information measuring device 1g is the same as the biological information measuring device 1c of the second reference example and the biological information measuring device 1e of the second embodiment .

  The external terminal 2g includes a biometric signal receiving means 20, a sensor data receiving means 24, a biometric feature quantity storage means 28, a biometric feature quantity extraction means 29g, a sensor feature quantity storage means 41, and sensor characteristics from the received sensor data. Sensor feature quantity extraction means 42 for extracting the quantity, and the state of the person to be measured is determined based on the sensor feature quantity or the sensor data, and the biological feature quantity weighted with a weight according to the state of the person to be measured A weight output means 43 for extracting the quantity extraction means 29g.

The present embodiment is a modification of the second reference example and the second embodiment . Hereinafter, the operation of the biological information measurement system of the present embodiment will be described with reference to FIG. FIG. 16 is a flowchart showing the operation of the external terminal 2g.
First, the operation of the biological information measuring device 1g is the same as the biological information measuring device 1c of the second reference example and the biological information measuring device 1e of the second embodiment .

  When the biological signal receiving means 20 of the external terminal 2g receives the biological signal transmitted from the biological information measuring apparatus 1g, and the sensor data receiving means 24 receives the sensor data transmitted from the biological information measuring apparatus 1g (step S260 in FIG. 16). ), The sensor feature quantity extracting means 42 extracts the sensor feature quantity from the sensor data received by the sensor data receiving means 24 (step S261 in FIG. 16). The operation of the sensor feature quantity extraction unit 42 is the same as the operation of the sensor feature quantity extraction unit 19 in step S142 of FIG.

  The weight output unit 43 outputs the value of the weight w according to the sensor feature amount or sensor data to the biometric feature amount extraction unit 29g (step S262 in FIG. 16). The operation of the weight output unit 43 is the same as the operation of the weight output unit 30 in step S143 of FIG.

The biometric feature quantity extraction unit 29g extracts the biometric feature quantity weighted with the weight w from the biometric signal received by the biometric signal reception unit 20 (step S263 in FIG. 16). The operation of the biometric feature amount extraction unit 29g is the same as the operation of the biometric feature amount extraction unit 17f in step S144 of FIG.
The biometric feature amount extracted by the biometric feature amount extraction unit 29g is stored in the biometric feature amount storage unit 28, and the sensor feature amount extracted by the sensor feature amount extraction unit 42 is stored in the sensor feature amount storage unit 41. (FIG. 16, step S264).

Thus, in the present embodiment, as in the third embodiment, it is possible to obtain a biometric feature amount that takes into account the influence of the movement of the measurement subject. Further, in the present embodiment, as compared with the third embodiment, since there is no need to mount the biometric feature amount extraction unit in the biometric information measuring device 1g, the power consumption and size of the biometric information measuring device 1g can be reduced. Can be realized.

[ Fifth Embodiment ]
Next, a fifth embodiment of the present invention will be described. FIG. 17 is a block diagram showing the configuration of the biological information measuring system according to the present embodiment. The same components as those in FIGS. 1, 5, 8, 10, 12, and 15 are denoted by the same reference numerals. It is. The biological information measuring system of the present embodiment includes a biological information measuring device 1h and an external terminal 2h.

  The biological information measuring device 1h includes a biological signal measuring unit 10, a sensor data measuring unit 14, a biological feature amount extracting unit 17h, a sensor feature amount extracting unit 19, and a sensor feature amount as a first axis. The sensor feature quantity extracted by the sensor feature quantity extraction means 19 and the biometric feature quantity extracted by the biometric feature quantity extraction means 17h on the coordinate plane along the second axis A coordinate determination unit 32 that determines the coordinates to be shown, and a coordinate transmission unit 33 that transmits the coordinates determined by the coordinate determination unit 32 to the external terminal 2h by wired communication or wireless communication.

  The external terminal 2h has coordinate receiving means 44 for receiving the coordinates transmitted from the biological information measuring apparatus 1h, coordinate storage means 45 for storing and storing the received coordinates, and a sensor feature amount as a first axis. Coordinate drawing means 46 for displaying a coordinate plane with the feature quantity taken as the second axis and drawing a point having coordinates stored in the coordinate storage means 45 on this coordinate plane, and biometric feature quantity or sensor feature Warning means 47 for determining the state of the person to be measured based on the amount and issuing a warning is provided.

The present embodiment is a modification of the first reference example and the first and third embodiments . Hereinafter, the operation of the biological information measurement system of this embodiment will be described with reference to FIGS. 18 (A), 18 (B), and 19. 18A is a flowchart showing the operation of the biological information measuring apparatus 1h, FIG. 18B is a flowchart showing the operation of the external terminal 2h, and FIG. 19 is a history of the biological feature quantity and sensor feature quantity according to the present embodiment. It is a figure explaining the drawing method of.

  The sensor data measuring unit 14 of the biological information measuring apparatus 1h measures sensor data (FIG. 18A, step S150), and the biological signal measuring unit 10 measures a biological signal (FIG. 18A step S151).

The biometric feature quantity extraction unit 17h extracts a biometric feature quantity from the biometric signal measured by the biometric signal measurement unit 10 (step S152 in FIG. 18A).
The sensor feature quantity extraction unit 19 extracts the sensor feature quantity from the sensor data measured by the sensor data measurement unit 14 (step S153 in FIG. 18A).

  The coordinate determination unit 32 takes a sensor feature amount on a first axis (horizontal axis in the present embodiment) and a biometric feature amount on a second axis (vertical axis in the present embodiment). The sensor feature quantity extracted by the sensor feature quantity extraction means 19 and the biometric feature quantity extracted by the biometric feature quantity extraction means 17h are determined as coordinates indicating the state of the person to be measured (FIG. 18A, step S154). .

The coordinate transmission unit 33 transmits the coordinate value determined by the coordinate determination unit 32 to the external terminal 2h (FIG. 18A, step S155).
The biological information measuring device 1h repeatedly executes the operation as shown in FIG.

The coordinate receiving means 44 of the external terminal 2h receives the coordinate value transmitted from the biological information measuring apparatus 1h (FIG. 18 (B), step S270). This coordinate value is stored in the coordinate storage means 45 (step S271 in FIG. 18B).
The coordinate drawing means 46 displays on the screen a coordinate plane having the sensor feature quantity as the first axis and the biometric feature quantity as the second axis, and is stored in the coordinate storage means 45 on this coordinate plane. A point having coordinates is drawn (step S272 in FIG. 18B). Since the history of the coordinate values from the past to the present is recorded in the coordinate storage means 45, the locus of the points, that is, the history of the state of the person being measured is displayed on the coordinate plane.

  For example, when the sensor feature amount included in the latest coordinate value stored in the coordinate storage unit 45 is lower than a predetermined sensor feature amount threshold value (YES in step S273 in FIG. 18B), the warning unit 47 A warning indicating that the feature amount is too low is issued (step S274 in FIG. 18B).

  Further, the warning unit 47, for example, when the biometric feature amount included in the latest coordinate value stored in the coordinate storage unit 45 is higher than a predetermined biometric feature amount threshold (YES in step S275 in FIG. 18B). A warning indicating that the biometric feature amount is too high is issued (step S276 in FIG. 18B). As a warning method in steps S274 and S276, there are methods such as lighting or blinking of an LED provided in the external terminal 2h, display of a warning message, output of warning sound, and tactile stimulation by vibration.

Next, the operation of the coordinate drawing means 46 will be specifically described with reference to FIG. Here, an example of a coordinate plane in which the sensor feature quantity is taken on the horizontal axis and the biological feature quantity is taken on the vertical axis will be described.
The coordinate plane is divided into four in advance. A region 190 corresponding to the upper right of the coordinate plane in which both the sensor feature value and the biometric feature value are high is a region indicating a state where the subject is subject to intense physical fluctuation and intense heartbeat activity. In the case where the coordinates formed by the combination of the sensor feature quantity and the biometric feature quantity are in the area 190, it can be interpreted as, for example, a state in which the measurement subject is exercising.

  A region 191 corresponding to the upper left of the coordinate plane, in which the sensor feature value is low and the biometric feature value is high, is a region that shows a state in which a small physical variation and intense heartbeat activity of the measurement subject are performed. In the case where the coordinates composed of the combination of the sensor feature quantity and the biometric feature quantity are in the area 191, it can be interpreted as, for example, a state in which the measurement subject is nervous.

  A region 192 corresponding to the lower right of the coordinate plane, in which the sensor feature value is high and the biometric feature value is low, is a region that shows a state in which the subject is subject to intense physical fluctuations and calm heartbeat activity. . In the case where the coordinates made up of the combination of the sensor feature quantity and the biometric feature quantity are within the area 192, it can be interpreted that, for example, the measurement subject is moving in an automobile or the like.

  A region 193 corresponding to the lower left of the coordinate plane in which both the sensor feature value and the biometric feature value are low is a region indicating a state in which a small physical variation of the measurement subject and a peaceful heartbeat activity are performed. In the case where the coordinates made up of the combination of the sensor feature quantity and the biometric feature quantity are in the region 193, for example, it can be interpreted that the measurement subject is resting.

  Points A and B in the coordinate plane are the latest points drawn by the coordinate drawing means 46, that is, points indicating the current sensor feature values and biometric feature values. Reference numerals 194 and 195 indicate the trajectories of points A and B, respectively, indicating past situations.

  The starting point of the locus 194 of the point A is in a state in which the value of the sensor feature value is high due to intense body movement such as the exercise of the measurement subject, and the biological feature value such as the heart rate is also high. The fact that the locus 194 is directed to the left of the coordinate plane can be regarded as a decrease in the sensor feature amount, that is, the movement of the measurement subject. In addition, in the temporal change of the sensor feature value and the biometric feature value indicated by the trajectory 194, the big change in the biometric feature value does not occur because the heart rate does not decrease immediately after the movement of the measurement subject. Can be estimated. In this way, by drawing the history of sensor features and biometric features as the locus of points on the coordinate surface, the person or third party who sees this display can reasonably state the person being measured. It becomes possible to grasp.

  In addition, when the sensor feature amount becomes lower than a predetermined sensor feature amount threshold value during exercise or training, the warning means 47 of the external terminal 2h issues a warning, so that the measurement subject loads the exercise or training load. You can encourage them to stay constant.

  Further, when the biometric feature amount becomes higher than a predetermined biometric feature amount threshold value in exercise or training, the warning means 47 issues a warning to notify the measurement subject that the subject has changed, The training can be prompted to stop, and the physical condition of the measurement subject can be prevented from deteriorating.

  In addition, the daily coordinate values are stored in the coordinate storage means 45, and the locus of the day is drawn on the same coordinate plane as the locus of several days ago, weeks ago, and months ago, so that training can be performed from the difference in locus. It is possible to quantitatively visualize the growth of the person to be measured.

  The starting point of the locus 195 of the point B has a low sensor feature amount, and it can be estimated that the person being measured is stationary or seated. Regarding the locus 195, only the biometric feature amount is increased without any change in the sensor feature amount, and it can be regarded as suggesting an increase in heart rate, that is, tension or concentration due to a psychological factor of the measurement subject. As described above, similarly to the example of the point A, the person to be measured or a third party who has seen the display of the locus 195 of the point B can reasonably grasp the state of the person to be measured.

[ Sixth Embodiment ]
Next, a sixth embodiment of the present invention will be described. FIG. 20 is a block diagram showing the configuration of the biological information measurement system according to the present embodiment, and the same configuration as that in FIGS. 1, 5, 8, 10, 12, 15, and 17 is the same. The code | symbol is attached | subjected. The biological information measuring system of the present embodiment includes a biological information measuring device 1i and an external terminal 2i.

  The biological information measuring device 1i includes a biological signal measuring unit 10, a sensor data measuring unit 14, a biological feature amount extracting unit 17h, a biological feature amount transmitting unit 18, a sensor feature amount extracting unit 19, and a sensor feature amount transmitting unit. 31.

  The external terminal 2g includes a biometric feature receiving unit 27, a biometric feature storing unit 28, a sensor feature receiving unit 40, a sensor feature storing unit 41, a coordinate drawing unit 46, a warning unit 47, and coordinate determination. Means 48.

This embodiment is a modification of the second reference example and the second and fourth embodiments . Hereinafter, the operation of the biological information measurement system of this embodiment will be described with reference to FIGS. 21 (A) and 21 (B). FIG. 21A is a flowchart showing the operation of the biological information measuring apparatus 1i, and FIG. 21B is a flowchart showing the operation of the external terminal 2i.

  The sensor data measuring means 14 of the biological information measuring device 1i measures sensor data (FIG. 21A, step S160), and the biological signal measuring means 10 measures a biological signal (FIG. 21A, step S161).

The biometric feature quantity extraction unit 17h extracts a biometric feature quantity from the biometric signal measured by the biometric signal measurement unit 10 (step S162 in FIG. 21A).
The sensor feature quantity extraction unit 19 extracts the sensor feature quantity from the sensor data measured by the sensor data measurement unit 14 (step S163 in FIG. 21A).

The biometric feature amount transmitting unit 18 transmits the biometric feature amount extracted by the biometric feature amount extracting unit 17 h to the external terminal 2 i, and at the same time, the sensor feature amount transmitting unit 31 is extracted by the sensor feature amount extracting unit 19. The amount is transmitted to the external terminal 2i (FIG. 21A, step S164).
The biological information measuring device 1i repeatedly executes the operation as shown in FIG.

The biometric feature amount receiving unit 27 of the external terminal 2i receives the biometric feature amount transmitted from the biometric information measuring device 1i, and the sensor feature amount receiving unit 40 receives the sensor feature amount transmitted from the biometric information measuring device 1i. (Step S280 in FIG. 21B).
The biometric feature received by the biometric feature receiving unit 27 is stored in the biometric feature storing unit 28, and the sensor feature received by the sensor feature receiving unit 40 is stored in the sensor feature storing unit 41. (FIG. 21 (B) Step S281).

  The coordinate determination means 48 stores the sensor feature quantity stored in the sensor feature quantity storage means 41 and the biometric feature quantity on a coordinate plane having the sensor feature quantity on the first axis and the biometric feature quantity on the second axis. The biometric feature amount stored in the means 28 is determined as coordinates indicating the state of the person being measured (step S282 in FIG. 21B). The operation of the coordinate determining means 48 is the same as the operation of the coordinate determining means 32 in step S154 in FIG.

The coordinate drawing means 46 displays on the screen a coordinate plane having the sensor feature quantity as the first axis and the biometric feature quantity as the second axis, and the coordinates determined by the coordinate determination means 48 on the coordinate plane. The point which has is drawn (FIG.21 (B) step S283).
The operation of the warning means 47 (steps S284 to S287 in FIG. 21B) is as described in the fifth embodiment .

Thus, in the present embodiment, it is possible to reasonably grasp the state of the person being measured, as in the fifth embodiment . Further, in the present embodiment, compared with the fifth embodiment, there is no need to mount coordinate determination means on the biological information measuring device 1i, and thus the biological information measuring device 1i can be reduced in power consumption and downsized. be able to.

The biological signal measuring devices 1b, 1c, 1d, 1e, 1f, 1g, 1h, 1i and the external terminals 2b, 2c, 2d, 2e described in the first and second reference examples and the first to sixth embodiments. , 2f, 2g, 2h, 2i can be realized by a computer having a CPU (Central Processing Unit), a memory and an interface, and a program for controlling these hardware resources. The CPU of each device executes the processes described in the first and second reference examples and the first to sixth embodiments in accordance with a program stored in the memory of each device.

  The present invention can be applied to a technique for obtaining biological information.

  1b, 1c, 1d, 1e, 1f, 1g, 1h, 1i ... biological information measuring device, 2b, 2c, 2d, 2e, 2f, 2g, 2h, 2i ... external terminal, 10 ... biological signal measuring means, 11 ... biological Signal transmitting means, 14 ... sensor data measuring means, 15 ... sensor data transmitting means, 16, 16d, 26, 26e ... determining means, 17, 17f, 17h ... biological feature quantity extracting means, 18 ... biological feature quantity transmitting means, 19 , 42 ... sensor feature quantity extraction means, 20 ... biological signal reception means, 21 ... biological signal storage means, 24 ... sensor data reception means, 25 ... sensor data storage means, 27 ... biometric feature quantity reception means, 28 ... biological feature quantity Storage means 29, 29g ... biometric feature quantity extraction means, 30, 43 ... weight output means, 31 ... sensor feature quantity transmission means, 32, 48 ... coordinate determination means, 33 ... coordinate transmission means, 40 ... Sa feature amount receiving unit, 41 ... sensor characteristic quantity storing means, 44 ... coordinate receiving unit, 45 ... coordinate storage unit, 46 ... coordinate drawing means, 47 ... warning means.

Claims (12)

A biological information measuring device, and an external terminal for receiving information transmitted from the biological information measuring device,
The biological information measuring device includes:
A biological signal measuring means for measuring a biological signal through a biological electrode attached to the living body;
Sensor data measuring means for reading sensor data of a sensor for detecting the position or movement of the biological information measuring device;
A biometric feature extracting means for extracting a biometric feature from the biometric signal;
Sensor data transmitting means for transmitting the sensor data to the external terminal;
Biometric feature amount transmitting means for transmitting the biometric feature amount to the external terminal;
Determination means for determining the state of the living body based on the sensor data and switching between simplification / high accuracy of processing of the biological feature amount extraction means,
The external terminal is
Sensor data receiving means for receiving sensor data transmitted from the biological information measuring device;
Sensor data storage means for storing received sensor data;
Biometric feature receiving means for receiving a biometric feature transmitted from the biometric information measuring device;
A biometric information measurement system comprising biometric feature quantity storage means for storing a received biometric feature quantity. A biological information measuring device, and an external terminal for receiving information transmitted from the biological information measuring device,
The biological information measuring device includes:
A biological signal measuring means for measuring a biological signal through a biological electrode attached to the living body;
Sensor data measuring means for reading sensor data of a sensor for detecting the position or movement of the biological information measuring device;
Biological signal transmitting means for transmitting the biological signal to the external terminal;
Sensor data transmission means for transmitting the sensor data to the external terminal,
The external terminal is
Biological signal receiving means for receiving a biological signal transmitted from the biological information measuring device;
Sensor data receiving means for receiving sensor data transmitted from the biological information measuring device;
A biometric feature extracting means for extracting a biometric feature from the received biosignal;
Sensor data storage means for storing received sensor data;
Biometric feature amount storage means for storing the biometric feature amount;
A biological information measurement system comprising: a determination unit that determines a state of the living body based on received sensor data and switches between simplification / high accuracy of processing of the biological feature amount extraction unit. A biological information measuring device, and an external terminal for receiving information transmitted from the biological information measuring device,
The biological information measuring device includes:
A biological signal measuring means for measuring an electrocardiogram waveform via a biological electrode attached to the living body;
Sensor data measuring means for reading acceleration data of a sensor for detecting acceleration of the biological information measuring device;
Biometric feature quantity extraction means for extracting RR50 as a biometric feature quantity from the electrocardiogram waveform;
Sensor feature amount extraction means for extracting an acceleration average deviation as a sensor feature amount from the acceleration data;
Biometric feature amount transmission means for transmitting the RR50 to the external terminal;
Sensor feature amount transmitting means for transmitting the acceleration average deviation to the external terminal;
A weight output unit that determines the state of the living body based on the acceleration average deviation or the acceleration data, and causes the biological feature amount extracting unit to extract RR50 weighted with a weight according to the state of the living body;
The external terminal is
Biometric feature amount receiving means for receiving the RR50 transmitted from the biometric information measuring device;
Biometric feature amount storage means for storing the received RR50;
Sensor feature receiving means for receiving an acceleration average deviation transmitted from the biological information measuring device;
A biological information measurement system comprising: a sensor feature amount storage means for storing the received acceleration average deviation. A biological information measuring device, and an external terminal for receiving information transmitted from the biological information measuring device,
The biological information measuring device includes:
A biological signal measuring means for measuring an electrocardiogram waveform via a biological electrode attached to the living body;
Sensor data measuring means for reading acceleration data of a sensor for detecting acceleration of the biological information measuring device;
Biosignal transmitting means for transmitting the electrocardiogram waveform to the external terminal;
Sensor data transmission means for transmitting the acceleration data to the external terminal,
The external terminal is
Biological signal receiving means for receiving an electrocardiogram waveform transmitted from the biological information measuring device;
Sensor data receiving means for receiving acceleration data transmitted from the biological information measuring device;
Biometric feature amount extraction means for extracting RR50 as a biometric feature amount from the received electrocardiogram waveform;
Sensor feature amount extraction means for extracting an acceleration average deviation as a sensor feature amount from received acceleration data;
Biometric feature amount storage means for storing the RR50;
Sensor feature quantity storage means for storing the acceleration average deviation;
A weight output unit that determines the state of the living body based on the acceleration average deviation or the acceleration data, and causes the biological feature amount extraction unit to extract the RR50 weighted with a weight according to the state of the living body. A biological information measurement system that is characterized. A biological information measuring device, and an external terminal for receiving information transmitted from the biological information measuring device,
The biological information measuring device includes:
A biological signal measuring means for measuring a biological signal through a biological electrode attached to the living body;
Sensor data measuring means for reading sensor data of a sensor for detecting the position or movement of the biological information measuring device;
A biometric feature extracting means for extracting a biometric feature from the biometric signal;
Sensor feature amount extraction means for extracting a sensor feature amount from the sensor data;
The sensor feature quantity extracted by the sensor feature quantity extraction means and the biometric feature quantity extraction means on the coordinate plane having the sensor feature quantity as the first axis and the biometric feature quantity as the second axis. Coordinate determining means for determining a biological feature amount as coordinates indicating the state of the biological body;
Coordinate transmission means for transmitting the coordinates determined by the coordinate determination means to the external terminal,
The external terminal is
Coordinate receiving means for receiving coordinates transmitted from the biological information measuring device;
Coordinate storage means for storing received coordinates;
A coordinate plane in which the sensor feature quantity is taken as the first axis and the biometric feature quantity is taken as the second axis is displayed, and a point having the coordinates stored in the coordinate storage means is drawn on the coordinate plane. A biological information measuring system comprising: a drawing unit. A biological information measuring device, and an external terminal for receiving information transmitted from the biological information measuring device,
The biological information measuring device includes:
A biological signal measuring means for measuring a biological signal through a biological electrode attached to the living body;
Sensor data measuring means for reading sensor data of a sensor for detecting the position or movement of the biological information measuring device;
A biometric feature extracting means for extracting a biometric feature from the biometric signal;
Sensor feature amount extraction means for extracting a sensor feature amount from the sensor data;
Biometric feature amount transmitting means for transmitting the biometric feature amount to the external terminal;
Sensor feature value transmitting means for transmitting the sensor feature value to the external terminal,
The external terminal is
Biometric feature receiving means for receiving a biometric feature transmitted from the biometric information measuring device;
Sensor feature quantity receiving means for receiving the sensor feature quantity transmitted from the biological information measuring device;
Biometric feature quantity storage means for storing the received biometric feature quantity;
Sensor feature quantity storage means for storing the received sensor feature quantity;
The sensor feature quantity stored in the biometric feature quantity storage means and the sensor feature quantity stored in the sensor feature quantity storage means on the coordinate plane taking the sensor feature quantity as the first axis and the biometric feature quantity as the second axis. Coordinate determining means for determining a biological feature amount as coordinates indicating the state of the biological body;
A coordinate drawing in which a coordinate plane with the sensor feature amount taken as the first axis and the biometric feature amount taken as the second axis is displayed and a point having the coordinates determined by the coordinate determination means is drawn on the coordinate plane. And a biological information measuring system. A biological signal measuring step in which the biological information measuring device measures a biological signal via a biological electrode attached to the living body;
A sensor data measuring step in which the biological information measuring device reads sensor data of a sensor that detects the position or movement of the device itself;
A biometric feature extracting step in which the biometric information measuring device extracts a biometric feature from the biometric signal;
A sensor data transmitting step in which the biological information measuring device transmits the sensor data to an external terminal;
A biometric feature transmitting step in which the biometric information measuring device transmits the biometric feature to the external terminal;
The biological information measuring device includes a determination step of determining the state of the biological body based on the sensor data and switching between simplification / high accuracy of the processing of the biological feature amount extraction step,
Further, the external terminal receives sensor data transmitted from the biological information measuring device, sensor data receiving step,
A sensor data storing step in which the external terminal stores the received sensor data;
A biometric feature receiving step in which the external terminal receives a biometric feature transmitted from the biometric information measuring device;
The biometric information measuring method characterized by including the biometric feature-value storage step in which the said external terminal stores the received biometric feature-value. A biological signal measuring step in which the biological information measuring device measures a biological signal via a biological electrode attached to the living body;
A sensor data measuring step in which the biological information measuring device reads sensor data of a sensor that detects the position or movement of the device itself;
A biological signal transmitting step in which the biological information measuring device transmits the biological signal to an external terminal;
The biological information measuring device includes a sensor data transmission step of transmitting the sensor data to the external terminal,
Furthermore, the external terminal receives a biological signal transmitted from the biological information measuring device, a biological signal receiving step,
A sensor data receiving step in which the external terminal receives sensor data transmitted from the biological information measuring device;
A biometric feature extracting step in which the external terminal extracts a biometric feature from the received biometric signal;
A sensor data storing step in which the external terminal stores the received sensor data;
A biometric feature storing step in which the external terminal stores the biometric feature;
A biometric information comprising: a judgment step in which the external terminal judges the state of the living body based on the received sensor data, and switches between simplification / high accuracy of the processing of the biometric feature amount extraction step. Measuring method. A biological signal measuring step in which the biological information measuring device measures an electrocardiogram waveform via a biological electrode attached to the living body;
A sensor data measuring step in which the biological information measuring device reads acceleration data of a sensor that detects acceleration of the device;
A biometric feature extracting step in which the biometric information measuring device extracts RR50 as a biometric feature from the electrocardiogram waveform;
A sensor feature amount extraction step in which the biological information measuring device extracts an acceleration average deviation as a sensor feature amount from the acceleration data;
A biological feature amount transmitting step in which the biological information measuring device transmits the RR 50 to an external terminal;
The biometric information measuring device transmits the acceleration average deviation to the external terminal.
The biological information measuring device determines a state of the living body based on the acceleration average deviation or the acceleration data, and a weight for causing the biological feature amount extraction step to extract RR50 weighted with a weight according to the state of the living body An output step,
In addition, the external terminal receives the RR50 transmitted from the biological information measuring device, a biometric feature receiving step,
A biometric feature storing step in which the external terminal stores the received RR50;
A sensor feature receiving step in which the external terminal receives an acceleration average deviation transmitted from the biological information measuring device;
The biometric information measuring method characterized by including the sensor feature-value storage step in which the said external terminal stores the received acceleration average deviation. A biological signal measuring step in which the biological information measuring device measures an electrocardiogram waveform via a biological electrode attached to the living body;
A sensor data measuring step in which the biological information measuring device reads acceleration data of a sensor that detects acceleration of the device;
A biological signal transmitting step in which the biological information measuring device transmits the electrocardiographic waveform to an external terminal;
The biological information measuring device includes a sensor data transmitting step of transmitting the acceleration data to the external terminal;
In addition, the external terminal receives the electrocardiographic waveform transmitted from the biological information measuring device, a biological signal receiving step,
A sensor data receiving step in which the external terminal receives acceleration data transmitted from the biological information measuring device;
A biometric feature extraction step in which the external terminal extracts RR50 as a biometric feature from the received electrocardiogram waveform;
A sensor feature amount extraction step in which the external terminal extracts an acceleration average deviation as a sensor feature amount from the received acceleration data;
A biometric feature storing step in which the external terminal stores the RR50;
A sensor feature storage step in which the external terminal stores the acceleration average deviation; and
A weight output step in which the external terminal determines the state of the living body based on the acceleration average deviation or the acceleration data, and causes the biological feature amount extraction step to extract RR50 weighted with a weight according to the state of the living body. And a biological information measuring method. A biological signal measuring step in which the biological information measuring device measures a biological signal via a biological electrode attached to the living body;
A sensor data measuring step in which the biological information measuring device reads sensor data of a sensor that detects the position or movement of the device itself;
A biometric feature extracting step in which the biometric information measuring device extracts a biometric feature from the biometric signal;
A sensor feature amount extracting step in which the biological information measuring device extracts a sensor feature amount from the sensor data;
The biometric information measuring device takes the sensor feature quantity on the first axis and the sensor feature quantity extracted by the sensor feature quantity extraction step on the coordinate plane taking the biometric feature quantity on the second axis, and the biometric feature. A coordinate determination step for determining the biological feature amount extracted by the quantity extraction step as coordinates indicating the state of the biological body;
The biological information measuring device includes a coordinate transmission step of transmitting the coordinates determined in the coordinate determination step to an external terminal;
Furthermore, the coordinate receiving step in which the external terminal receives coordinates transmitted from the biological information measuring device;
A coordinate storage step in which the external terminal stores received coordinates;
The external terminal displays a coordinate plane having the sensor feature quantity as the first axis and the biometric feature quantity as the second axis, and has the coordinates stored in the coordinate storage step on the coordinate plane. And a coordinate drawing step for drawing a point. A biological signal measuring step in which the biological information measuring device measures a biological signal via a biological electrode attached to the living body;
A sensor data measuring step in which the biological information measuring device reads sensor data of a sensor that detects the position or movement of the device itself;
A biometric feature extracting step in which the biometric information measuring device extracts a biometric feature from the biometric signal;
A sensor feature amount extracting step in which the biological information measuring device extracts a sensor feature amount from the sensor data;
A biometric feature transmitting step in which the biometric information measuring device transmits the biometric feature to an external terminal;
The biological information measuring device includes a sensor feature amount transmitting step of transmitting the sensor feature amount to the external terminal;
In addition, the external terminal receives a biometric feature amount transmitted from the biometric information measurement device;
A sensor feature receiving step in which the external terminal receives the sensor feature transmitted from the biological information measuring device;
A biometric feature storing step in which the external terminal stores the received biometric feature;
A sensor feature storage step in which the external terminal stores the received sensor feature;
The external terminal stores the sensor feature quantity stored in the sensor feature quantity storage step and the biometric feature quantity storage on the coordinate plane having the sensor feature quantity on the first axis and the biometric feature quantity on the second axis. A coordinate determination step for determining the biological feature amount stored in the step as coordinates indicating the state of the biological body;
The external terminal displays a coordinate plane having the sensor feature quantity as the first axis and the biometric feature quantity as the second axis, and has the coordinates determined by the coordinate determination step on the coordinate plane. And a coordinate drawing step for drawing the living body information.