JP2019122782A - Determination device, determination method and computer program - Google Patents

Abstract

To be able to detect changes in health status as soon as possible (e.g. in a real time manner).SOLUTION: A determination device includes a determination unit for acquiring sensor information being information related to a user's electrocardiogram acquired by a sensor and determining the relaxation degree indicating the degree to which the user is relaxed on the basis of the sensor information. The determination unit detects an R wave on the basis of the sensor information, acquires the time difference between the time when the R wave is detected and the time when the R wave is detected as an R-R interval, and determines the relaxation degree on the basis of the length of the R-R interval.SELECTED DRAWING: Figure 6

Description

  The present invention relates to a technology for determining information on human health.

  There has been proposed a technique for acquiring information on the health condition of a person by using a terminal device and determining whether a change in the health condition has occurred (see Patent Document 1). In such a technique, it is determined whether there has been a change in the health condition of a person from a long-term perspective by accumulating information on health condition collected regularly.

Unexamined-Japanese-Patent No. 2014-215691

However, such a technique can not cope with a symptom (for example, heat stroke or change in physical condition at the time of fatigue, etc.) in which the physical condition is deteriorated in a short time.
In view of the above-mentioned circumstances, the present invention aims to provide a technology that makes it possible to detect changes in health status more quickly.

  One aspect of the present invention is a determination unit that acquires sensor information that is information related to the user's electrocardiogram acquired by a sensor, and determines a degree of relaxation indicating a degree to which the user is relaxed based on the sensor information; The determination unit detects an R wave based on the sensor information, and acquires, as an R-R interval, a time difference between a time when the R wave is detected and a time when the R wave is next detected. The determination device may determine the degree of relaxation based on a length of the R-R interval.

  One embodiment of the present invention is the determination apparatus according to the above, wherein the determination unit counts the number of times the length of the R-R interval exceeds a predetermined threshold in a predetermined section. The degree of relaxation in the predetermined section is determined based on the number of excesses.

  One embodiment of the present invention is the determination apparatus described above, wherein the determination unit is based on the ratio of the number of excesses and the number of R wave detections in the predetermined section for which the number of excesses has been obtained. The degree of relaxation in the predetermined section is determined.

  One embodiment of the present invention is the determination apparatus described above, wherein the determination unit further acquires environment information at the position of the user, and stores the determination condition in association with the environment information and the predetermined threshold. The predetermined threshold corresponding to the environment information is acquired from the unit, and the degree of relaxation of the user is determined based on the predetermined threshold and the sensor information.

  In one aspect of the present invention, an information processing apparatus acquires sensor information which is information related to a user's electrocardiogram acquired by a sensor, and the information processing apparatus relaxes the user based on the sensor information. The information processing apparatus detects an R wave based on the sensor information in the determination step, and then detects a time at which the R wave is detected, and It is a determination method which acquires the time difference with the time when R wave was detected as an R-R interval, and determines the degree of relaxation based on the length of the R-R interval.

  One aspect of the present invention is a computer program for causing a computer to function as the above-described determination device.

  The present invention makes it possible to detect changes in health status more quickly (for example, in real time).

FIG. 1 is a system configuration diagram showing a system configuration of a determination system 10. FIG. 6 is a schematic block diagram showing an outline of a functional configuration of a determination server 300. It is a figure which shows the specific example of a determination condition table. It is a specific example of a user information table. It is a table | surface which shows the relationship between a WBGT value, a dry bulb temperature, and relative humidity. It is a sequence chart which shows the example of the flow of processing of judgment system.

  FIG. 1 is a system configuration diagram showing a system configuration of a determination system 10. The determination system 10 includes a wearable sensor 100, a communication device 200, a determination server 300, and an administrator terminal 400. The communication device 200, the determination server 300, and the administrator terminal 400 are communicably connected to each other via the network 600. The determination system 10 is communicably connected to the information providing server 500 via the network 600. The communication device 200 is communicably connected to the wearable sensor 100. Each apparatus shown in FIG. 1 will be described below.

  The wearable sensor 100 is a device that can be worn on the user's body. The wearable sensor 100 comprises one or more sensors. The sensor obtains information about the user. The sensor may be, for example, a biological sensor that acquires information on the user's body (hereinafter, referred to as "biological information"). The biological information is, for example, values such as heart rate, body temperature, output level of sound, blood pressure and the like. The biological sensor may acquire the user's heart rate and the heart's action potential (cardiogram data) as biological information. The sensor may be, for example, a sensor that acquires information related to the movement of the user (hereinafter, referred to as “action information”). The action information is, for example, a value such as acceleration or weight. The wearable sensor 100 generates sensor information including the acquired biological information and action information, the date and time when each information was acquired, and identification information of the user (hereinafter referred to as “user ID”). The wearable sensor 100 transmits the generated sensor information to the communication device 200.

  The communication device 200 is a device that can communicate. The communication device 200 is configured using, for example, a smartphone, a mobile phone, a tablet terminal, a personal computer, a game device, and the like. The communication device 200 may be configured using a relay device such as a mobile router. The communication device 200 acquires sensor information from the wearable sensor 100 by wireless communication or wired communication. The communication device 200 acquires position information indicating the current position by using the sanitary positioning system. The communication device 200 transmits the acquired sensor information and position information to the determination server 300.

  The determination server 300 is an information processing apparatus that can communicate. The determination server 300 does not necessarily need to be configured as one device, and may be configured as a cluster machine or a cloud system using a plurality of information processing devices. The determination server 300 receives sensor information and position information from the communication device 200. The determination server 300 determines the health condition of the user indicated by the user ID included in the sensor information based on the acquired sensor information and position information. In this determination process, the determination server 300 may use information provided by the information providing server 500. For example, when the information providing server 500 is a server that provides information on the environment of each point (hereinafter referred to as "environment information"), the determination server 300 performs the determination process using the environment information according to the position information. I do. Specific examples of environmental information include humidity, temperature, barometric pressure, weather, rainfall, pollen amount, solar radiation amount, air volume, and heat index (WBGT: Wet Bulb Globe Temperature). The determination server 300 generates information (hereinafter referred to as “warning information”) for prompting a warning when the determination result on the user's health condition satisfies a predetermined condition. Then, the determination server 300 transmits warning information to the administrator terminal 400 which is a destination registered in advance in association with the user ID.

  The administrator terminal 400 is an information processing apparatus used by a person who manages the health condition of the user of the wearable sensor 100 (hereinafter, referred to as “administrator”). The administrator may be, for example, a relative of the user. The manager may be, for example, a teacher at a school to which the user belongs. The manager may be, for example, a supervisor in a corporation to which the user belongs. The administrator may be, for example, a service provider who has a contract with a user or a relative of the user. The manager may be, for example, the user himself.

  When the administrator terminal 400 receives the alert information from the determination server 300, the administrator terminal 400 outputs the content of the alert information. For example, the administrator terminal 400 may display the content of the warning information by an image or text on a display device provided in the own device. For example, the administrator terminal 400 may output a voice indicating the content of the warning information from a voice output device provided in the own device. By receiving the output of the warning information from the administrator terminal 400, the administrator can recognize that the health condition of the user is changing.

  The information providing server 500 is an information processing apparatus that provides information used in the determination process of the determination server 300. The information providing server 500 may be, for example, an information processing apparatus that provides the above-described environment information.

The network 600 is a wide area communication network such as the Internet.
FIG. 2 is a schematic block diagram showing an outline of a functional configuration of the determination server 300. As shown in FIG. The determination server 300 includes a communication unit 301, a determination condition storage unit 302, a user information storage unit 303, and a determination unit 304.

  The communication unit 301 is a network interface. The communication unit 301 transmits and receives data to and from another communication device via the network 600.

  The determination condition storage unit 302 is configured using a storage device such as a magnetic hard disk drive or a semiconductor storage device. The determination condition storage unit 302 stores a determination condition table. The determination condition table is a table in which a threshold used in the determination process of the determination unit 304 is defined. For example, the determination condition table indicates the relationship between information (for example, environment information) provided by the information providing server 500 and a threshold used in the determination process. FIG. 3 is a diagram showing a specific example of the determination condition table. The determination condition table shown in FIG. 3 represents the relationship between the WBGT value and the threshold value. According to the determination condition table shown in FIG. 3, the first threshold is used for determination processing when the WBGT value is less than 25 and the second threshold is used for determination processing when the WBGT value is 25 or more and less than 28. When the WBGT value is 28 or more and less than 31, the third threshold is used for the determination process, and when the WBGT value is 31 or more, the fourth threshold is used for the determination process.

  The first threshold is a threshold that is likely to be determined to be in a better health condition than the second threshold. That is, if the determination process is performed using the same biological information, and the threshold used is the first threshold, it may be determined that the health condition is better than when the second threshold is used. high.

  The second threshold is a threshold that is more likely to be judged as a better health condition than the third threshold. That is, if the determination process is performed using the same biological information, and the threshold used is the second threshold, it may be determined that the health condition is better than when the third threshold is used. high.

  The third threshold is a threshold that is more likely to be determined as a better health condition than the fourth threshold. That is, if the determination process is performed using the same biological information, and the threshold used is the third threshold, it may be determined that the health condition is better than when the fourth threshold is used. high.

  The user information storage unit 303 is configured using a storage device such as a magnetic hard disk drive or a semiconductor storage device. The user information storage unit 303 stores a user information table. FIG. 4 is a specific example of the user information table. The user information table is a table having information on the user of the wearable sensor 100 as a record. For example, each record of the user information table has values of user ID, age, gender, heart rate, vital data such as RRI, triaxial acceleration, administrator ID, and destination address. The user ID is identification information of the user of the wearable sensor 100. The age is the age of the wearable sensor 100 user. The gender is the age of the wearable sensor 100 user. The heart rate RRI is vital data such as the heart rate RRI acquired from the wearable sensor. The three-axis acceleration is acceleration data acquired from a wearable sensor. The administrator ID is identification information of the administrator of the user of the wearable sensor 100. The destination address is an address used when transmitting warning information to the administrator terminal 400 used by the administrator of the wearable sensor 100 user.

  FIG. 5 is a table showing the relationship between the WBGT value and the dry bulb temperature and relative humidity. The WBGT value is uniquely determined by the dry bulb temperature represented by the vertical axis and the relative humidity represented by the horizontal axis. The determination unit 304 may acquire the WBGT value from the information providing server 500. The determination unit 304 may acquire the dry bulb temperature and the relative humidity from the information provision server 500. In this case, the determination unit 304 may acquire the WBGT value based on the acquired dry bulb temperature and relative humidity, and the table shown in FIG. 4. In this case, the table shown in FIG. 4 may be stored in the determination condition storage unit 302, for example.

  The determination unit 304 determines the health condition of the user indicated by the user ID included in the sensor information, based on the sensor information and the position information. An example of a specific operation of the determination unit 304 will be described. The determination unit 304 acquires environment information at the position indicated by the received position information. The determination unit 304 acquires a threshold from the determination condition table according to the acquired environment information. The determination unit 304 executes the determination process using the biological information included in the received sensor information and the threshold value acquired from the determination condition table. The determination unit 304 determines whether the result of the determination process satisfies the notification condition. If the result of the determination process satisfies the notification condition, the warning information indicating the determination result is transmitted to the destination address (the address of the administrator terminal 400) associated with the user ID.

  Hereinafter, a specific example of the process of the determination unit 304 will be described. In the following description, heat stress determination, fatigue degree determination, relaxation degree determination and refresh degree determination will be described as specific examples.

[Heat stress judgment]
The determination unit 304 determines whether or not the user's heart rate exceeds (fixed value A-user's age) (corresponding to information related to the health condition) continuously for several minutes. The fixed value A is a preset value, for example, 180. The fixed value A may be changed as appropriate.
Alternatively, the determination unit 304 determines whether the maximum heart rate exceeds (fixed value B-user's age) continuously (corresponding to information related to the health condition) continuously for several seconds. The fixed value B is a preset value, for example, 220. The fixed value B may be changed as appropriate. The fixed value A is smaller than the fixed value B.
The fixed value A and the fixed value B used in the determination process may be selected from among a plurality of thresholds (for example, a first threshold to a fourth threshold) according to the environment information. For example, the fixed value A and the fixed value B may be selected based on the determination condition table shown in FIG. In heat stress determination, if the user's heart rate exceeds (fixed value A-user's age) continuously for several minutes, or maximum heart rate exceeds (fixed value B-user's age) continuously for several seconds In this case, it is determined that the health condition is at high risk.
In the heat stress determination, the notification condition is that the degree of danger is high. If it is determined that the degree of danger is high, the determination unit 304 transmits warning information to the administrator terminal 400 via the communication unit 301. The warning information may include, for example, position information of the user, a user ID of the user, and information indicating that a heatstroke symptom may appear.

[Fatigue judgment]
The determination unit 304 determines the degree of fatigue of the user (corresponding to information related to the state of health) based on the heart rate of the user. Specifically, it is as follows. The determination unit 304 acquires the heart rate of the user from the wearable sensor 100. The determination unit 304 calculates the intensity at the time of exercise, consumed energy and RMSSD (the root mean square of the difference between successive heartbeat intervals by one of the time domain analysis methods for heartbeat fluctuation) from the acquired heart rate. The determination unit 304 determines the degree of fatigue of the user based on the calculated value. The determination unit 304 determines that the degree of fatigue is higher as the calculated value is larger. In the fatigue level determination, the notification condition is that the fatigue level is high. If the degree of fatigue exceeds a certain threshold, the determination unit 304 transmits warning information to the administrator terminal 400 via the communication unit 301. The warning information may include, for example, position information of the user, a user ID of the user, and information indicating that the degree of fatigue is high.

[Relaxation degree judgment]
The determination unit 304 determines the degree of relaxation (corresponding to information related to the health condition) based on the data of the user's electrocardiogram. Specifically, it is as follows. The determination unit 304 detects an R wave based on the action potential (mV) of the data of the electrocardiogram. The determination unit 304 calculates a time difference between the time when the R wave is detected and the time when the R wave is next detected (hereinafter, referred to as “RR interval”). After that, the determination unit 304 determines whether the calculated value of the R-R interval satisfies the following Expression 1.

  RR (n + 1) of Formula 1 is a detection time of back detection data in RR interval, RR (n) represents a detection time of front detection data in RR interval. When the calculated value of the R-R interval satisfies the above equation 1, the determination unit 304 counts the number of RR 50 detections. In the following description, when there is an R-R interval satisfying the above equation 1, it is referred to as satisfying the RR detection condition.

  When a predetermined time (for example, a time corresponding to 100 counts of the value of the heartbeat) has elapsed, the determination unit 304 counts the number of times of detection of RR50 counted until the predetermined time elapses and the time the predetermined time elapses. The degree of relaxation is calculated based on the following equation 2 using the detected number of times of R wave detection.

  The fixed value of Equation 2 is a preset value, and is, for example, 0.13. The fixed value may be changed as appropriate. The determination unit 304 determines whether the user is relaxed based on whether or not the calculated degree of relaxation exceeds a preset threshold. If the determination unit 304 determines that the user is not relaxed, the determination unit 304 may transmit warning information. The threshold to be compared with the degree of relaxation may be a value obtained based on environmental information.

[Refresh degree judgment]
The determination unit 304 determines the degree of refreshment (corresponding to information related to the health condition) based on the degree of relaxation of the user. The degree of refresh is referred to as a degree of relaxation before the user performs an activity (hereinafter referred to as "first degree of relaxation") and a degree of relaxation after the user performs an activity (hereinafter referred to as "second degree of relaxation"). Calculated on the basis of For example, the degree of refreshment may be calculated by dividing the difference between the second relaxation degree and the first relaxation degree by the first relaxation degree. The determination unit 304 determines whether the user has been refreshed by activity based on whether or not the calculated degree of refresh exceeds a preset threshold. If the determination unit 304 determines that the user has not refreshed, the determination unit 304 may transmit warning information. Note that the threshold to be compared with the refresh degree may be a value obtained based on environmental information.

  FIG. 6 is a sequence chart showing an example of the process flow of the determination system 10. The information providing server 500 transmits environment information to the determination server 300 each time a predetermined timing arrives (step S101). When the determination server 300 receives the environment information, the determination server 300 stores it for use in the determination process.

  The wearable sensor 100 generates sensor information at a predetermined timing. The communication device 200 also acquires position information at a predetermined timing. The communication device 200 transmits the sensor information and the position information to the determination server 300 via the network 600 (step S102). When the determination server 300 receives the sensor information and the position information, the processing of steps S103, S104, and S105 below is executed at the received timing.

  First, the determination server 300 acquires a threshold based on environmental information at the position indicated by the position information (step S103). The determination server 300 performs the determination process based on the threshold acquired in step S103 and the sensor information (step S104). The determination unit 304 determines whether the determination result satisfies the notification condition (step S105). When the determination result satisfies the notification condition (YES in step S105), the determination server 300 transmits warning information according to the determination result to the administrator terminal 400 (step S106). When receiving the warning information, the administrator terminal 400 outputs the warning information (step S107). After the warning information is transmitted, or when the determination result does not satisfy the notification condition (step S105-NO), the determination server 300 records the determination result as a history (step S108).

  According to the determination system 10 configured as described above, the determination server 300 performs the determination process based on the sensor information acquired by the wearable sensor 100 worn by the user. The determination process by the determination server 300 is executed at the timing when the sensor information is received. Then, when the notification condition is satisfied, the alert information is transmitted to the administrator terminal 400. Therefore, it is possible to detect changes in the user's health condition more quickly (for example, in real time).

  Further, in the determination server 300 of the determination system 10, the threshold used when performing the determination process is obtained based on the environmental information of the place where the user is located. Therefore, it is possible to perform more appropriate determination according to the position of the user. For example, even if the user's heart rate is the same, the former is better for the case where the user's location is very hot and humid and where the user's location is a comfortable environment. It is likely that your health is getting worse. In such a case, it is possible to more accurately detect a change in the user's state of health by setting the threshold to a lower value (to obtain a worse judgment result) so as not to overlook even a slight change. It becomes possible.

(Modification)
The wearable sensor 100 and the communication device 200 may be configured as an integrated device. In addition, the wearable sensor 100 may be configured to include each function of the determination server 300. In this case, the wearable sensor 100 may acquire environment information by the sensor of the own device, execute the determination process, and output the determination result to the user. In addition, the wearable sensor 100 may be configured to include each function of the communication device 200 and the determination server 300. In this case, the wearable sensor 100 may acquire the environment division method from the information providing server 500, execute the determination process, and transmit the warning information to the administrator terminal 400 according to the result.

  The functions in the above-described embodiment may be realized by a computer. In that case, a program for realizing this function may be recorded in a computer readable recording medium, and the program recorded in the recording medium may be read and executed by a computer system. Here, the “computer system” includes an OS and hardware such as peripheral devices. The term "computer-readable recording medium" refers to a storage medium such as a flexible disk, a magneto-optical disk, a ROM, a portable medium such as a ROM or a CD-ROM, or a hard disk built in a computer system. Furthermore, “computer-readable recording medium” dynamically holds a program for a short time, like a communication line in the case of transmitting a program via a network such as the Internet or a communication line such as a telephone line. It may also include one that holds a program for a certain period of time, such as volatile memory in a computer system that becomes a server or client in that case. The program may be for realizing a part of the functions described above, or may be realized in combination with the program already recorded in the computer system.

  The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and includes design and the like within the scope of the present invention.

DESCRIPTION OF SYMBOLS 10 ... Judgment system, 100 ... Wearable sensor, 200 ... Communication apparatus, 300 ... Judgment server, 301 ... Communication part, 302 ... Judgment condition memory | storage part, 303 ... User information memory | storage part, 304 ... Judgment part, 400 ... Administrator terminal, 500 ... information providing server, 600 ... network

Claims (6)

A determination unit that acquires sensor information that is information related to the user's electrocardiogram acquired by a sensor, and determines a degree of relaxation indicating a degree to which the user is relaxed based on the sensor information;
Equipped with
The determination unit detects an R wave based on the sensor information, acquires a time difference between a time when an R wave is detected and a time when an R wave is next detected as an R-R interval, and the R- The determination apparatus which determines the said relaxation degree based on the length of R space | interval.   The determination unit counts, in a predetermined section, the number of times the length of the RR interval exceeds the predetermined threshold, and determines the degree of relaxation in the predetermined section based on the number of times exceeded. The determination apparatus according to claim 1.   The determination unit may determine the degree of relaxation in the predetermined section based on a ratio of the number of excesses and the number of detections of R waves in the predetermined section in which the number of excesses is obtained. Judgment device described in.   The determination unit further acquires environmental information at the position of the user, and acquires the predetermined threshold according to the environmental information from a determination condition storage unit that associates and stores the environmental information and the predetermined threshold. The determination apparatus according to claim 2, wherein the degree of relaxation of the user is determined based on the predetermined threshold and the sensor information. An acquisition step in which the information processing apparatus acquires sensor information which is information on the user's electrocardiogram acquired by the sensor;
A determination step of determining a degree of relaxation indicating the degree to which the user is relaxing based on the sensor information;
Have
The information processing apparatus detects the R wave based on the sensor information in the determination step, and acquires a time difference between the time when the R wave is detected and the time when the R wave is next detected as the RR interval. And a determination method of determining the degree of relaxation based on the length of the R-R interval.   A computer program for causing a computer to function as the determination device according to any one of claims 1 to 4.

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