JP6514539B2 - Estimation system, estimation method and computer program - Google Patents

Description

  The present invention relates to analysis technology of biological information.

  In recent years, it has become possible to more easily acquire biological information including heartbeat and electrocardiogram data. For example, wearable technology is known which can acquire biological information only by wearing it using a technology of producing an electrode material by coating a fiber surface (see, for example, Non-Patent Document 1). By using such a technology, it is possible to obtain in real time in daily life the biological information that could conventionally be obtained only by medical devices.

http://www.ntt.co.jp/journal/140/files/jn201402015.pdf

However, since the acquired biological information is medical specialized data, utilization of the acquired biological information has not been sufficiently performed.
In view of the above circumstances, the present invention aims to provide a technique capable of providing information to a user by using biological information.

  One aspect of the present invention is a threshold for detecting an R wave based on an acquisition unit for acquiring data of the user's electrocardiogram and an R wave and a T wave in the data of the electrocardiogram acquired in the past. The relaxation degree of the user is acquired based on a threshold acquisition unit to be acquired, a detection unit that detects an R wave from electrocardiogram data based on the acquired threshold, and a detection result of the R wave by the detection unit. And a first relaxation degree, which is a degree of relaxation acquired by the relaxation degree acquiring unit based on data of the electrocardiogram acquired from the user before the predetermined activity. By the user performing the predetermined activity on the basis of the second relaxation degree, which is the relaxation degree acquired by the relaxation degree acquiring unit based on the data of the electrocardiogram acquired from the user after the , A refresh estimating unit for estimating a refresh degree indicating the degree of refreshing Te is estimated system comprising a.

  One embodiment of the present invention is the estimation system described above, wherein the threshold acquisition unit acquires a value between the minimum value of the R wave and the maximum value of the T wave as the threshold.

  One embodiment of the present invention is the estimation system described above, wherein the detection unit detects, in the data of the electrocardiogram, data indicating a value equal to or more than the threshold as an R wave.

  One embodiment of the present invention is the estimation system described above, wherein the detection unit uses data indicating a value equal to or more than the threshold value detected after a certain period of time after detection of the R wave as the R wave. Is not detected.

  One embodiment of the present invention is the estimation system described above, wherein an information storage unit storing the data of the electrocardiogram for each user, and a flag according to a predetermined condition for each timing value of the data of the electrocardiogram And a transmitting unit that transmits, to the user, the electrocardiographic data at the value of the timing at which the flag is attached among the stored electrocardiogram data according to the user's request And further comprising

  One embodiment of the present invention is the estimation system described above, wherein the flag adding unit is configured to set each timing value of the electrocardiogram data at a timing preset according to the purpose of use of the electrocardiogram data. A flag is added, and the transmitting unit is configured to transmit the electrocardiogram data at a timing value to which a flag for use designated by a third party different from the user who is the acquisition source of the electrocardiogram data is attached. Send to three parties.

  One aspect of the present invention is an acquisition step of acquiring data of a user's electrocardiogram, and a threshold for detecting an R wave based on an R wave and a T wave in the data of the electrocardiogram acquired in the past. The relaxation degree of the user is acquired based on a threshold acquisition step to be acquired, a detection step of detecting an R wave from electrocardiogram data based on the acquired threshold, and a detection result of the R wave by the detection step. A first relaxation degree which is a relaxation degree acquired in the relaxation degree acquiring step based on data of the relaxation degree acquiring step and the electrocardiogram acquired from the user before the predetermined activity is performed; Second relaxation degree, which is the degree of relaxation acquired in the relaxation degree acquisition step based on the data of the electrocardiogram acquired from the user after Based on, the user is estimation method having a refresh estimating step of estimating a refresh degree indicating a degree of refreshed by performing the predetermined activity.

  One aspect of the present invention is an acquisition step of acquiring data of a user's electrocardiogram, and a threshold for detecting an R wave based on an R wave and a T wave in the data of the electrocardiogram acquired in the past. The relaxation degree of the user is acquired based on a threshold acquisition step to be acquired, a detection step of detecting an R wave from electrocardiogram data based on the acquired threshold, and a detection result of the R wave by the detection step. A first relaxation degree which is a relaxation degree acquired in the relaxation degree acquiring step based on data of the relaxation degree acquiring step and the electrocardiogram acquired from the user before the predetermined activity is performed; Second relaxation degree, which is the degree of relaxation acquired in the relaxation degree acquisition step based on the data of the electrocardiogram acquired from the user after Based on, the user is a computer program for executing a refresh estimating step, to a computer to estimate a refresh degree indicating a degree of refreshed by performing the predetermined activity.

  According to the present invention, it is possible to provide information to the user by using the biological information, and it is possible to provide the user, for example, information on the extent to which the user has refreshed by performing a predetermined activity.

It is a schematic block diagram showing the system configuration of estimation system 100 in a 1st embodiment of the present invention. It is a figure for demonstrating the calculation method of the threshold value of R wave. It is a figure for demonstrating the detection method of R wave based on a threshold value. It is a figure which shows the calculation result of refreshment degree. 5 is a flowchart for explaining the flow of threshold value calculation processing of the communication terminal 10; 5 is a flowchart for explaining the flow of the refresh degree calculation process of the communication terminal 10; It is a schematic block diagram which shows the system configuration | structure of the estimation system 100a in 2nd Embodiment of this invention. It is a schematic block diagram showing the functional composition of cloud server 30a. It is a figure which shows the specific example of the biometric information table which the cloud server 30a has memorize | stored. It is a sequence diagram which shows operation | movement of a process of the estimation system 100a in 2nd Embodiment of this invention.

Hereinafter, specific configuration examples (the first embodiment and the second embodiment) of the present invention will be described with reference to the drawings.
First Embodiment
FIG. 1 is a schematic block diagram showing a system configuration of an estimation system 100 in the first embodiment of the present invention. The estimation system 100 in the first embodiment includes a communication terminal 10 and a biological information sensor 20. The communication terminal 10 and the biometric information sensor 20 communicate by short distance wireless communication (for example, Bluetooth (registered trademark)). The communication between the communication terminal 10 and the biological information sensor 20 may be wireless communication or wired communication.

  The communication terminal 10 is configured using, for example, a smartphone, a mobile phone, a tablet terminal, a personal computer, a game device, and the like. The communication terminal 10 acquires biological information from the biological information sensor 20 by wireless communication or wired communication. The communication terminal 10 has two types of modes, a test mode and an estimation mode. The test mode is a mode for calculating a threshold for detecting an R wave to be detected from biological information in the estimation mode. In the estimation mode, an R wave is detected from biological information acquired from the biological information sensor 20 periodically (for example, 1 millisecond) based on a threshold calculated in the test mode, and a user is detected based on the detected R wave. Mode to estimate the degree of physical condition. The physical condition of the user is, for example, a fluctuating condition of the user, that is, a relaxed condition. The physical condition of the user is, for example, a state in which the user has been refreshed by an activity. In the present embodiment, the communication terminal 10 estimates the extent to which the user has been refreshed by activity (hereinafter, referred to as “the degree of refresh”) as the extent of the user's physical condition.

  The biometric information sensor 20 acquires biometric information of the user. The biological information is, for example, values such as heart rate, action potential of heart, body temperature, output level of sound, blood pressure and the like. In the present embodiment, the biological information sensor 20 acquires the user's heart rate and the heart's action potential (cardiogram data) as biological information. The biological information sensor 20 associates the acquired biological information with the date and time when the biological information was acquired, and transmits the acquired biological information to the communication terminal 10 by wireless communication or wired communication.

  Next, a specific functional configuration of the communication terminal 10 will be described. The communication terminal 10 includes a CPU (Central Processing Unit), a memory, an auxiliary storage device, and the like connected by a bus, and executes a refresh degree calculation program. By executing the refresh degree calculation program, the communication terminal 10 includes the communication unit 101, the acquisition unit 102, the biological information storage unit 103, the display control unit 104, the display unit 105, the input unit 106, the switching control unit 107, the threshold calculation unit 108, It functions as an apparatus including the detection unit 109, the time interval calculation unit 110, the relaxation degree calculation unit 111, the relaxation degree storage unit 112, and the refresh degree calculation unit 113. Note that all or part of the functions of the communication terminal 10 may be realized using hardware such as an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA). The refresh degree calculation program may be recorded on a computer readable recording medium. The computer readable recording medium is, for example, a portable medium such as a flexible disk, a magneto-optical disk, a ROM, a CD-ROM, or a storage device such as a hard disk built in a computer system. Also, the electrocardiographic component detection program may be transmitted and received via a telecommunication line.

The communication unit 101 is configured using a network interface. The communication unit 101 exchanges data with the biological information sensor 20.
The acquisition unit 102 acquires biological information from the data received by the communication unit 101. The acquisition unit 102 writes the acquired biological information into the biological information storage unit 103.
The biometric information storage unit 103 is configured using a storage device such as a magnetic hard disk drive or a semiconductor storage device. The biometric information storage unit 103 associates and stores biometric information and information on the date and time when the biometric information was acquired.

  The display control unit 104 controls the display of the display unit 105. For example, the display control unit 104 generates electrocardiogram data by drawing the action potential of the heart included in the biological information stored in the biological information storage unit 103 as a graph, and causes the display unit 105 to display the generated electrocardiogram data. . The display control unit 104 is based on the action potential of the heart included in the biological information acquired at a predetermined interval (for example, an interval of 14/1000 seconds) among the biological information stored in the biological information storage unit 103. Display ECG data. The display control unit 104 may cause the display unit 105 to display the value of the heart rate together with the electrocardiogram data.

  The display unit 105 is an image display device such as a liquid crystal display or an organic EL (Electro Luminescence) display. The display unit 105 performs display in accordance with the control of the display control unit 104. For example, the display unit 105 displays electrocardiogram data. The display unit 105 may be an interface for connecting the image display device to the communication terminal 10. In this case, the display unit 105 generates a video signal for displaying the electrocardiogram data, and outputs the video signal to the image display device connected to itself.

  The input unit 106 is configured using an existing input device such as a touch panel, a keyboard, a pointing device (mouse, tablet or the like), or a button. The input unit 106 is operated by the user when inputting an instruction of the user to the communication terminal 10. For example, the input unit 106 receives an instruction input for mode switching. The input unit 106 may be an interface for connecting an input device to the communication terminal 10. In this case, the input unit 106 inputs, to the communication terminal 10, an input signal generated in response to a user operation in the input device.

The switching control unit 107 controls switching of the mode of the own device according to the instruction input to the input unit 106.
The threshold calculation unit 108 is a functional unit that functions when the own device is operating in the test mode. The threshold calculation unit 108 selects an R wave selected by the user via the input unit 106 among the electrocardiogram components included in the electrocardiogram data generated from the value of the action potential of the heart in the biological information acquired during the predetermined period. The threshold for detecting the R wave is calculated based on the value of T and the value of the T wave. More specifically, the threshold calculation unit 108 calculates an intermediate value between the minimum value of the R wave and the maximum value of the T wave as a threshold. The threshold does not have to be limited to the above values. For example, the threshold may be any value between the minimum value of the R wave selected by the user and the maximum value of the T wave. The threshold calculation unit 108 selects the value of the R wave selected by the user through the input unit 106 among the electrocardiogram components included in the electrocardiogram data generated from the value of the action potential of the heart in the biological information acquired in the past. The threshold may be calculated based on the value of T and the value of T wave.

  The detection unit 109 is a functional unit that functions when the device is operating in the estimation mode. The detection unit 109 detects an R wave from the value of the cardiac action potential included in the biological information acquired by the acquisition unit 102 based on the threshold calculated by the threshold calculation unit 108. The detection unit 109 counts the number of times of detection of the R wave (hereinafter, referred to as “the number of times of detection of R wave”) each time the R wave is detected. For example, the detection unit 109 increments the number of R wave detections by one.

The time interval calculation unit 110 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”). In addition, when a difference of 50 (milliseconds) or more is found in the R-R interval, the time interval calculation unit 110 determines that a difference of 50 (milliseconds) or more is found in the R-R interval, 50 in the R-R interval. The number of times a difference of (milliseconds) or more is observed (hereinafter, referred to as “RR 50 detection number”) is counted. For example, the time interval calculation unit 110 increments the number of RR 50 detections by one.
The degree-of-relaxation calculation unit 111 calculates the degree of relaxation based on the number of times of R-wave detection, the number of times of RR50 detection, and a fixed value set in advance.

The degree-of-relaxation storage unit 112 is configured using a storage device such as a magnetic hard disk drive or a semiconductor storage device. The degree-of-relaxation storage unit 112 stores, as a first degree of relaxation, a value of the degree of relaxation calculated based on the biological information acquired from the user before performing the target activity. The target activity is an activity performed by the user for refreshing.
The refreshment degree calculation unit 113 is calculated based on the degree of relaxation (first degree of relaxation) calculated based on the biological information acquired from the user before the target activity and the biological information acquired from the user after the target activity Calculate the degree of refreshment based on the degree of relaxation (second degree of relaxation).

FIG. 2 is a diagram for explaining a method of calculating the R-wave threshold value.
In the example of FIG. 2, the electrocardiogram data 11 and the time display area 12 are displayed on the display unit 105. In FIG. 2, the vertical axis of the electrocardiogram data 11 represents the action potential (mV) of the heart, and the horizontal axis represents the time T. In addition, the measurement time is displayed inside the time display area 12. The measurement time shown in the time display area 12 represents the time when the biological information of the user is acquired after the test mode is started.
Hereinafter, specific processing of threshold calculation by the threshold calculation unit 108 will be described with reference to FIG.

  First, the user operates the communication terminal 10 to select the R wave and the T wave of the electrocardiogram data 11 displayed on the display unit 105. In the example of FIG. 2, the user selects any R wave indicated by arrow 13 and any T wave indicated by arrow 14. Here, the selection of the R wave and the T wave by the user may be performed as follows. First, the display control unit 104 displays on the screen of the display unit 105 a display (for example, a pop-up display) indicating that the R wave is to be selected. Then, the display control unit 104 causes the display unit 105 to display on the screen of the display unit 105 a display (for example, pop-up display) indicating that the T wave is selected after the user has selected the R wave. Thus, the user may receive the selection of the R wave and the T wave.

The threshold calculation unit 108 acquires the minimum value of the R wave in the vicinity of the electrocardiogram data selected first after the display is made. The threshold calculation unit 108 acquires the maximum value of the T wave near the electrocardiogram data selected by the user after acquiring the value of the R wave. Thereafter, the threshold calculation unit 108 calculates, as a threshold, an intermediate value between the acquired minimum value of the R wave and the maximum value of the T wave.
This is the end of the description of the specific process of the threshold value calculation by the threshold value calculation unit 108.

FIG. 3 is a diagram for explaining a method of detecting an R wave based on a threshold.
FIG. 3 shows electrocardiogram data at a predetermined time. In FIG. 3, the vertical axis of the electrocardiogram data represents the action potential of the heart, and the horizontal axis represents time.
As shown in FIG. 3, a plurality of electrocardiogram components (P wave, Q wave, R wave, S wave, T wave) exist in the electrocardiogram data. The detection unit 109 detects an R wave based on the electrocardiogram data and the threshold value calculated by the threshold value calculation unit 108. Hereinafter, the detection method of R wave is concretely demonstrated using FIG.

  When the value of the cardiac action potential included in the periodically acquired biological information becomes approximately the same as the threshold value, the detection unit 109 detects, as the R wave, data of the cardiac action potential which becomes substantially the same as the threshold value. At this time, the detection unit 109 also detects the time when the R wave is detected. In FIG. 3, R waves are detected at times indicated by points 15-1, 15-2, and 15-3. In addition, after R wave is detected at the time shown by the points 15-1, 15-2 and 15-3, the time becomes almost the same as the threshold at the times shown by the points 16-1, 16-2 and 16-3. Data of the heart's action potential is detected. However, the detection unit 109 in the present embodiment detects the heart's action potential that has become approximately the same as the threshold that is detected until a certain time (for example, 200 milliseconds) elapses after the R wave is detected. It does not detect data as R wave. That is, the data of the heart's action potential that becomes substantially the same as the threshold at the times indicated by the points 16-1, 16-2, and 16-3 are not detected as R waves.

Generally, since the R-R interval is said to be about 500 milliseconds, there is a high possibility of noise in data detected before a certain time (for example, 200 milliseconds) elapses. Therefore, it is possible to exclude the noise that causes the deterioration of the accuracy by not detecting all the data of the heart's action potential which is almost the same as the threshold value as the R wave by the above-described processing. As a result, the R wave can be detected accurately. In the following description, the value of the heartbeat is counted as one beat in one R-R interval (e.g., an interval of time from point 15-1 to point 15-2). Also, in the following description, previously detected data (for example, data indicated by the point 15-1 in the case of the point 15-1 and the point 15-2) in the R-R interval is referred to as previous detection data, Data detected later (for example, in the case of the point 15-1 and the point 15-2, data indicated by the point 15-2) is referred to as post-detection data.
This is the end of the description of the R wave detection method.

  The time interval calculation unit 110 detects an R wave from the biological information by the above-described processing, and calculates an RR interval based on the detected R wave. After that, the time interval calculation unit 110 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 time interval calculation unit 110 counts the number of times of detection of RR50. 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.

FIG. 4 is a diagram showing the calculation result of the degree of refreshment.
In the example of FIG. 4, a broken line 17 indicating the transition of the degree of relaxation calculated by the degree-of-relaxation calculation unit 111 and the character display area 18 are displayed on the display unit 105. The polygonal line 17 includes a polygonal line 17-1 indicating the transition of the first degree of relaxation and a polygonal line 17-2 indicating the transition of the second degree of relaxation. The character display area 18 includes a first display area 18-1 in which the measurement time of the first degree of relaxation is displayed, a second display area 18-2 in which the measurement time of the second degree of relaxation is displayed, and the first degree of relaxation And a fourth display area 18-4 in which the value of the second relaxation degree is displayed, and a fifth display area 18-5 in which the value of the refresh degree is displayed. ,including.

In FIG. 4, the vertical axis of the broken line 17 represents the degree of relaxation (%), and the horizontal axis represents the time T. In addition, measurement times are displayed inside the first display area 18-1 and the second display area 18-2. The measurement time represents the time when the degree of relaxation of the user has been calculated since the estimation mode was started. The first degree of relaxation and the second degree of relaxation calculated by the degree-of-relaxation calculation unit 111 are displayed inside the third display area 18-3 and the fourth display area 18-4. In the fifth display area 18-5, the refresh rate (%) calculated by the refresh rate calculation unit 113 is displayed.
Hereinafter, a method of calculating the degree of relaxation by the degree-of-relaxation calculation unit 111 and a method of calculating the degree of refreshment by the refresh degree calculation unit 113 will be specifically described.

  First, the method of calculating the degree of relaxation will be described. When a predetermined time (for example, a time corresponding to 100 counts of the value of the heartbeat) elapses, the relaxation degree calculation unit 111 counts the number of times of detection of RR50 counted until the predetermined time elapses and the predetermined time elapses. The degree of relaxation is calculated based on the following equation 2 using the R-wave detection count counted in.

The fixed value of Equation 2 is a preset value, and is, for example, 0.13. The fixed value may be changed as appropriate.
This is the end of the description of the method of calculating the degree of relaxation.
Next, a method of calculating the degree of refreshment will be described. The refresh degree calculation unit 113 calculates the refresh degree based on any one of Equations 3 and 4 shown below.

以上で、リフレッシュ度の算出方法についての説明を終了する。

This is the end of the description of the method of calculating the degree of refreshment.

FIG. 5 is a flowchart for explaining the flow of the threshold value calculation process of the communication terminal 10. In addition, in description of FIG. 5, the case where the communication terminal 10 is operate | moving in test mode is demonstrated to an example.
The acquisition unit 102 periodically acquires biological information via the communication unit 101 (step S101). The acquisition unit 102 stores the acquired biological information in the biological information storage unit 103 (step S102). The display control unit 104 causes the display unit 105 to display the biological information stored in the biological information storage unit 103 (step S103). Specifically, the display control unit 104 causes the display unit 105 to display electrocardiogram data generated based on the value of the action potential of the heart included in the biological information. The display unit 105 displays the electrocardiogram data according to the control of the display control unit 104.

  The threshold calculation unit 108 determines whether there is a selection between the R wave and the T wave (step S104). If R wave and T wave have been selected (YES in step S104), the threshold calculation unit 108 calculates a threshold (step S105). Specifically, the threshold calculation unit 108 calculates an intermediate value between the minimum value of the R wave and the maximum value of the T wave as a threshold. The threshold calculation unit 108 sets the calculated threshold in its own device (step S106).

On the other hand, when the R wave and the T wave are not selected (step S104-NO), the switching control unit 107 determines whether a predetermined time has elapsed (step S107).
When the predetermined time has elapsed (YES in step S107), the switching control unit 107 ends the test mode.
On the other hand, when predetermined time has not passed (step S107-NO), the process after step S104 is repeatedly performed.

FIG. 6 is a flowchart for explaining the flow of the relaxation degree calculation process of the communication terminal 10. In addition, in description of FIG. 6, the case where the communication terminal 10 is operate | moving in estimation mode is demonstrated to an example.
The acquisition unit 102 periodically acquires biological information via the communication unit 101 (step S201). The detection unit 109 determines whether the value of the cardiac action potential included in the acquired biological information is equal to or greater than a threshold (step S202). If the value of the cardiac action potential is not equal to or higher than the threshold (step S202-NO), the processes after step S201 are repeatedly executed.
On the other hand, when the value of the action potential of the heart is equal to or greater than the threshold (YES in step S202), the detection unit 109 acquires time information from the biological information. Then, the detection unit 109 determines whether a certain time (for example, 200 milliseconds) has elapsed from the previous detection time of the R wave (step S203).

When a certain time (for example, 200 milliseconds) has not elapsed (step S203-NO), the detection unit 109 does not detect the detected data as an R wave (step S204). After that, the processes after step S201 are performed.
On the other hand, when a certain time (for example, 200 milliseconds) has elapsed (step S203-YES), the detection unit 109 detects the detected data as an R wave. At this time, the detection unit 109 acquires time information from the biological information (step S205). Further, the detection unit 109 increments the number of times of R wave detection by one.

The time interval calculation unit 110 calculates the RR interval (step S206). After that, the time interval calculation unit 110 determines whether or not the RR 50 detection condition is satisfied (step S207). When the RR50 detection condition is not satisfied (step S207-NO), the processes after step S201 are repeatedly executed.
On the other hand, when the RR50 detection condition is satisfied (step S207-YES), the time interval calculation unit 110 increments the number of times of RR50 detection by 1 (step S208). After that, the time interval calculation unit 110 acquires the number of R wave detections (step S209).

  Thereafter, the time interval calculation unit 110 determines whether a predetermined time (for example, a time corresponding to 100 counts of the value of the heartbeat) has elapsed (step S210). When the predetermined time has not passed (step S210-NO), the communication terminal 10 repeatedly executes the process after step S201.

  On the other hand, if the predetermined time has elapsed (YES in step S210), the degree-of-relaxation calculation unit 111 calculates the degree of relaxation based on the number of times of detection of RR50 and the number of times of R wave detection (step S211). The degree-of-relaxation calculation unit 111 determines whether the process of step S211 is a process based on biological information acquired from the user before the target activity (hereinafter, referred to as "pre-processing"). This determination may be made based on, for example, whether or not the user has previously made an input indicating that it is preprocessing. This determination may be performed, for example, based on whether or not the first relaxation degree is already stored in the relaxation degree storage unit 112. This determination may be made based on other criteria.

When the process of step S211 is pre-processing (step S212-YES), the degree-of-relaxation calculation unit 111 records the calculated degree of relaxation as the first degree of relaxation in the degree-of-relaxation storage unit 112 (step S213) . On the other hand, when the process of step S211 is not preprocessing (step S212-NO), the degree-of-relaxation calculation unit 111 instructs the refresh degree calculation unit 113 to calculate the degree of refreshment. The refresh degree calculation unit 113 reads the first relaxation degree stored in the relaxation degree storage unit 112 (step S214). The refresh degree calculation unit 113 calculates the refresh degree based on the degree of relaxation (second degree of relaxation) calculated in the process of step S211 immediately before and the read first degree of relaxation (step S215).
The display control unit 104 causes the display unit 105 to display the degree of relaxation calculated by the degree of relaxation calculation unit 111 and the degree of refreshment calculated by the refresh degree calculation unit 113. The display unit 105 displays the degree of relaxation and the degree of refresh according to the control of the display control unit 104 (step S216).

  According to the estimation system 100 configured as described above, it is possible to accurately detect the R wave based on the threshold value calculated in the test mode. Specifically, it is determined that the R wave is detected when the value of the action potential of the electrocardiogram included in the periodically acquired biological information of the user becomes substantially the same as the threshold value. However, if a certain period of time has not elapsed since the last detection of the R wave, the communication terminal 10 excludes data in which the value of the action potential of the electrocardiogram is substantially the same as the threshold as noise from the detection result. Therefore, noise in R wave detection can be easily removed. Therefore, it becomes possible to detect R wave accurately.

  In addition, biometric information acquired for each user is different. That is, the values of the acquired heart rate and the heart's action potential differ depending on the user. Therefore, when a common threshold is used for all users, some users may not be able to detect the R wave with high accuracy. On the other hand, the threshold in the present invention is calculated individually for each user rather than using a common threshold. Therefore, highly accurate detection tailored to the user can be performed by using the individually calculated threshold value for each user.

  In the present invention, the degree of relaxation is calculated using the detection result of the R wave. The user can objectively grasp his / her state by looking at the calculated degree of relaxation. For example, compare how relaxed you are in a tense scene such as an interview or a presentation, and how relaxed you are in a scene where you are relaxing with friends or family, and understand how much mental state changes depending on the situation. be able to.

  Further, in the present invention, it is calculated based on the value of the degree of relaxation calculated based on the biological information acquired from the user before performing the target activity and the biological information acquired from the user after performing the target activity. The degree of refreshment is calculated based on the value of degree of relaxation. The degree of refresh represents the degree to which the user has been able to refresh by performing the target activity. The user or a person related to the user (for example, a proposer of the target activity, a provider of a place or a tool required for the target activity, a supervisor of the user (for example, a parent, a teacher, etc.) It becomes possible to know the degree of merit. In general, the activities considered to be good for refreshing also differ in the degree and direction of their influence depending on the individual. For such problems, by using the present invention, the user can know the activity more suitable for the refresh. Further, according to the present invention, it is possible to provide useful information to the user by using the biometric information of the user.

<Modification>
In the present embodiment, the configuration in which the threshold is obtained by calculation is shown, but the configuration need not be limited to this. That is, as long as the threshold value is a value obtained from the value between the minimum value of the R wave selected by the user and the maximum value of the T wave, it may be realized by any means. For example, the threshold may be obtained according to a predetermined condition from the value between the minimum value of the R wave and the maximum value of the T wave. In this case, the threshold calculation unit 108 functions as an acquisition threshold acquisition unit that acquires a threshold based on the R wave and T wave selected by the user.
The time interval calculation unit 110 and the relaxation degree calculation unit 111 may be configured to be included in another device. When configured in this way, the communication terminal 10 transmits information on the R wave detected by the detection unit 109 (for example, the detection time of the R wave and the number of times of R wave detection) to another device. The time interval calculation unit 110 of the other device calculates the RR interval from the information on the R wave received from the communication terminal 10, and determines whether or not the RR detection condition is satisfied. The time interval calculation unit 110 repeatedly executes this process until a predetermined time (for example, a time corresponding to 100 counts of the value of the heartbeat) elapses. When the predetermined time has elapsed, the relaxation degree calculation unit 111 is set in advance with the number of R wave detections counted until the predetermined time passes and the number of RR50 detections counted before the predetermined time elapses. The degree of relaxation is calculated based on the fixed value.

In the present embodiment, the information on the R wave detected by the detection unit 109 is shown in an example of using the calculation process of the degree of relaxation, but it is not necessary to be limited thereto, and may be used in other processes. For example, the information on the R wave detected by the detection unit 109 may be used to determine the user's REM sleep and non-REM sleep.
The method of obtaining the minimum value of the R wave and the maximum value of the T wave does not have to be limited to the method described above. For example, when the user selects two places from the electrocardiogram data displayed on the screen of the display unit 105, the threshold calculation unit 108 acquires the value of the cardiac action potential at each of the selected places. Next, the threshold calculation unit 108 compares the values of the acquired action potentials of the respective hearts, and determines a portion having a large value as an R wave and a portion having a small value as a T wave. Then, the threshold calculation unit 108 acquires the minimum value in the vicinity of the electrocardiogram data at the point determined as the R wave as the minimum value of the R wave. In addition, the threshold calculation unit 108 acquires the maximum value in the vicinity of the electrocardiogram data at the point determined as the T wave as the maximum value of the T wave.

Second Embodiment
FIG. 7 is a schematic block diagram showing the system configuration of the estimation system 100a in the second embodiment of the present invention. The estimation system 100a in the second embodiment includes a communication terminal 10a, a biological information sensor 20a, and a cloud server 30a. The communication terminal 10a and the biometric information sensor 20a perform communication by short distance wireless communication (for example, Bluetooth (registered trademark)). The communication of the communication terminal 10a and the biological information sensor 20a may be wireless communication or wired communication. The communication terminal 10a and the cloud server 30a are communicably connected via the network 40a.

  The estimation system 100a can be applied to a secondary utilization method of biological information in addition to the utilization method (primary usage method) of biological information in the estimation system 100. The following description demonstrates the secondary usage method of biometric information. In the estimation system 100a, the communication terminal 10a that has acquired the biological information acquired by the biological information sensor 20a stores the acquired biological information in the cloud server 30a via the network 40a. The cloud server 30a adds a flag to biological information satisfying a predetermined condition among the stored biological information, and transmits the biological information to which the flag is added in response to a request from the communication terminal 10a to the communication terminal 10a. . The communication terminal 10a, the biometric information sensor 20a, the cloud server 30a, and the network 40a will be described in detail below.

  The communication terminal 10a includes a CPU, a memory, an auxiliary storage device, and the like connected by a bus, and executes an electrocardiographic component detection program. By executing the electrocardiographic component detection program, the communication terminal 10a can communicate with the communication unit 101a, the acquisition unit 102, the biological information storage unit 103, the display control unit 104, the display unit 105, the input unit 106a, the switching control unit 107, and the threshold calculation unit 108. Functions as an apparatus including the detection unit 109, the time interval calculation unit 110, and the relaxation degree calculation unit 111. Note that all or part of the functions of the communication terminal 10a may be realized using hardware such as an ASIC, a PLD, or an FPGA. Also, the electrocardiographic component detection program may be recorded on a computer readable recording medium. The computer readable recording medium is, for example, a portable medium such as a flexible disk, a magneto-optical disk, a ROM, a CD-ROM, or a storage device such as a hard disk built in a computer system. Also, the electrocardiographic component detection program may be transmitted and received via a telecommunication line.

  The communication terminal 10a according to the second embodiment differs from the communication terminal 10 in that the communication terminal 10a according to the second embodiment includes a communication unit 101a and an input unit 106a instead of the communication unit 101 and the input unit 106. The communication terminal 10a is the same as the communication terminal 10 in the other configuration. Therefore, the description of the entire communication terminal 10a is omitted, and the communication unit 101a and the input unit 106a will be described.

The communication unit 101a is configured using a network interface. The communication unit 101a communicates with the biological information sensor 20a. The communication unit 101a communicates with the cloud server 30a. For example, the communication unit 101a transmits a biometric information acquisition request to the cloud server 30a. The biometric information acquisition request includes a user ID and a password. The user ID may be, for example, specific information (for example, a nickname) set in advance by a user who is a request source of biometric information, or may be a MAC address of the communication terminal 10a.
The input unit 106 a is configured using an existing input device such as a touch panel, a keyboard, a pointing device (mouse, tablet, and the like), and a button. The input unit 106a is operated by the user when inputting an instruction of the user to the communication terminal 10a. For example, the input unit 106a receives an instruction input of mode switching. Also, for example, the input unit 106a receives an instruction input of a biometric information acquisition request. The input unit 106a may be an interface for connecting an input device to the communication terminal 10a. In this case, the input unit 106a inputs, to the communication terminal 10a, an input signal generated according to the user's operation in the input device.

The biometric information sensor 20a acquires biometric information of the user. The biological information sensor 20a transmits the acquired biological information and the date and time when the biological information was acquired to the communication terminal 10a by wireless communication or wired communication.
The cloud server 30a is configured using an information processing apparatus such as a personal computer. The cloud server 30a is provided on the cloud. The cloud server 30a stores the biological information transmitted from the communication terminal 10a, and transmits the biological information to the communication terminal 10a in response to a request from the communication terminal 10a.
The network 40a may be a network configured in any way. The network 40a may be configured using, for example, the Internet.

  FIG. 8 is a schematic block diagram showing the functional configuration of the cloud server 30a. The cloud server 30a includes a CPU, a memory, an auxiliary storage device, and the like connected by a bus, and executes an extraction program. By executing the extraction program, the cloud server 30a functions as an apparatus including the communication unit 301, the communication control unit 302, the flag assignment unit 303, the user-based biometric information storage unit 304, and the extraction unit 305. Note that all or part of the functions of the cloud server 30a may be realized using hardware such as an ASIC, a PLD, or an FPGA. Also, the extraction program may be recorded on a computer readable recording medium. The computer readable recording medium is, for example, a portable medium such as a flexible disk, a magneto-optical disk, a ROM, a CD-ROM, or a storage device such as a hard disk built in a computer system. Also, the extraction program may be transmitted and received via a telecommunication line.

The communication unit 301 is configured using a network interface. The communication unit 301 communicates with the communication terminal 10a via the network 40a.
The communication control unit 302 performs control according to the data received by the communication unit 301. For example, when biological information is received by the communication unit 301, the communication control unit 302 outputs the biological information to the flag assignment unit 303. Also, for example, when the biological information acquisition request is received by the communication unit 301, the communication control unit 302 outputs the biological information acquisition request to the extraction unit 305.

  The flag assignment unit 303 assigns a flag to biometric information that satisfies a predetermined condition. The predetermined condition is, for example, biological information received at predetermined intervals. For example, when the predetermined interval is 14, the flag giving unit 303 gives a flag to the 14th received biological information every time the biological information is received 14 times. As described above, the flag giving unit 303 gives a flag to the biological information satisfying the predetermined condition among the biological information received at each timing (the timing of 1 millisecond). The interval is counted for each user. That is, the flag giving unit 303 gives a flag to the biometric information of a certain user every time the biometric information of the certain user is received a predetermined number of times. The intervals under the predetermined conditions may be different for each user or may be common to all users.

The user-specific biometric information storage unit 304 is configured using a storage device such as a magnetic hard disk drive or a semiconductor storage device. The user-specific biometric information storage unit 304 stores a user-specific biometric information table. The user-specific biometric information table is composed of records (hereinafter referred to as "biological information records") including biometric information acquired at each timing.
The extraction unit 305 extracts the biological information to which the flag is attached from the user-specific biometric information table stored in the user-specific biometric information storage unit 304 in response to the biometric information acquisition request. For example, the extraction unit 305 extracts the biological information to which the flag is attached from the user-specific biological information table in which the biological information transmitted from the communication terminal 10a that is the transmission source of the acquisition request for the biological information is recorded.

FIG. 9 is a diagram showing a specific example of the biological information table stored in the cloud server 30a.
The biometric information table has a plurality of biometric information records for each user. The biometric information record has values of a flag, biometric information, and storage date and time. The value of the flag represents the flag assigned by the flag assigning unit 303. As a specific example of the flag, there is "0" or "1". A value of “0” indicates that the biometric information of the same biometric information record is not flagged. A value of “1” indicates that a flag is given to the biometric information of the same biometric information record. The value of biological information represents biological information acquired by the biological information sensor 20a at a predetermined timing (1 millisecond). The value of the storage date indicates the date when the biometric information of the same biometric information record is stored in the user-specific biometric information table.
In the example shown in FIG. 9, a flag is attached to the biological information recorded at 2m (m is an integer of 1 or more), and a flag is attached to the biological information recorded at the (2m-1) th. It is shown that it has not been granted.

FIG. 10 is a sequence diagram showing the operation of the process of the estimation system 100a in the second embodiment of the present invention.
The biometric information sensor 20a acquires biometric information of the user (step S301). The biological information sensor 20a transmits the acquired biological information to the communication terminal 10a (step S302). The biological information sensor 20a periodically (for example, every one millisecond) executes the processing of steps S301 and S302.
The communication unit 101a of the communication terminal 10a receives the biological information transmitted from the biological information sensor 20a. The communication unit 101a transmits biological information to the cloud server 30a via the network 40a (step S303).

The communication unit 301 of the cloud server 30a receives the biological information transmitted from the communication terminal 10a. Since the received data is biometric information, the communication control unit 302 outputs the received biometric information to the flag assignment unit 303. The flag assignment unit 303 determines whether it is necessary to assign a flag to the biometric information (step S304). When it is necessary to add a flag to the biometric information, the flag giving unit 303 gives a flag to the biometric information. On the other hand, when it is not necessary to attach a flag to the biometric information, the flag giving unit 303 does not attach a flag to the biometric information. Thereafter, the flag assignment unit 303 stores the biometric information in the user-specific biometric information storage unit 304 (step S305). At this time, the flag assignment unit 303 stores the time when the biological information is stored in association with the biological information.
Thereafter, the processing from step S301 to step S305 is repeatedly performed.

When the user inputs the user ID and password through the input unit 106a of the communication terminal 10a, the communication unit 301 generates a biometric information acquisition request including the user ID and password, and the generated biometric information acquisition request is a cloud server It transmits to 30a (step S306).
The communication unit 301 of the cloud server 30a receives the biometric information acquisition request transmitted from the communication terminal 10a. Since the received data is a biometric information acquisition request, the communication control unit 302 determines whether the user ID and password included in the received biometric information acquisition request match the user ID and password stored in advance. Determine if If the user ID and the password do not match, the communication control unit 302 determines that the biological information is not to be transmitted. In this case, the communication control unit 302 generates an error notification, and transmits the error notification to the communication terminal 10 a of the transmission source of the biometric information acquisition request via the communication unit 301. On the other hand, when the user ID and the password match, the communication control unit 302 determines that the biological information is to be transmitted. In this case, the communication control unit 302 outputs the received biometric information acquisition request to the extraction unit 305.

The extraction unit 305 refers to the user-specific biometric information storage unit 304, and extracts biometric information corresponding to the biometric information acquisition request (step S307). Specifically, the extraction unit 305 extracts, from among the biometric information corresponding to the user of the communication terminal 10a that is the transmission source of the biometric information acquisition request, the biometric information to which the flag is attached from the user-specific biometric information table. The extraction unit 305 transmits the extracted biological information to the communication terminal 10a via the communication unit 301 (step S308).
The communication unit 101a of the communication terminal 10a receives the biological information transmitted from the cloud server 30a. The communication unit 101 a stores the received biological information in the biological information storage unit 103 via the acquisition unit 102. The display control unit 104 causes the display unit 105 to display the biological information stored in the biological information storage unit 103 as electrocardiogram data. The display unit 105 displays the electrocardiogram data according to the control of the display control unit 104 (step S309).

According to the estimation system 100a configured as described above, the same effect as that of the first embodiment can be obtained.
Furthermore, in the estimation system 100a, all biological information is stored in the cloud server 30a. Then, when there is a request from the user, biological information satisfying a predetermined condition is transmitted to the communication terminal 10a. Therefore, since it is not necessary for the communication terminal 10a to store all the biological information, the consumption of the memory of the communication terminal 10a can be suppressed. Furthermore, since biometric information for each user is stored in the cloud server 30a, the user's biometric information can be easily acquired from other devices provided in a hospital etc. when used as medical data. it can. Therefore, the user can easily diagnose his or her physical condition based on the biological information.

<Modification>
The second embodiment may be modified in the same manner as the first embodiment.
The flag assignment unit 303 may be included in another device (for example, the communication terminal 10a or another server). Another server is an information processing apparatus such as a personal computer capable of communicating with the communication terminal 10a and the cloud server 30a. Hereinafter, the case where the other device is the communication terminal 10a, the case where the other device is the other server, and the respective cases will be described.

When the other device is the communication terminal 10a, the flag giving unit 303 of the communication terminal 10a gives a flag to the biological information satisfying the predetermined condition among the biological information received from the biological information sensor 20a. The communication terminal 10a transmits the received biometric information to the cloud server 30a. The cloud server 30 a stores the received biometric information in the user-specific biometric information storage unit 304.
When the other device is another server, the communication terminal 10a transmits the biological information received from the biological information sensor 20a to the other server. In the other servers, information on predetermined conditions is set in advance for each user. The other server adds a flag to the biological information which satisfies the predetermined condition among the biological information received from the communication terminal 10a. The other server transmits the received biometric information to the cloud server 30a. The cloud server 30 a stores the received biometric information in the user-specific biometric information storage unit 304.

  The cloud server 30a may be configured to include a threshold value calculation unit 108, a detection unit 109, a time interval calculation unit 110, and a relaxation degree calculation unit 111. When configured in this way, the communication terminal 10a transmits the information on the R wave and the T wave selected by the user to the cloud server 30a. The cloud server 30a calculates the threshold value for each user from the information of the R wave and the T wave received from the communication terminal 10a. Then, the cloud server 30a calculates the RR interval from the information on the R wave periodically transmitted from the communication terminal 10a, and determines whether or not the RR detection condition is satisfied. The cloud server 30a repeatedly executes this process until a predetermined time (for example, a time corresponding to 100 counts of the value of the heartbeat) elapses. When the predetermined time has elapsed, the cloud server 30a sets the number of R-wave detections counted until the predetermined time elapses, the number of RR50 detections counted before the predetermined time elapses, and a preset value. Calculate the degree of relaxation based on the value.

The predetermined conditions need not be limited to the above conditions. For example, as the predetermined condition, there may be a condition according to the purpose of use. In this case, the flag assignment unit 303 assigns a flag according to the purpose of use. Specific examples of the purpose of use include, for example, medical purposes, health management purposes, and the like. The flag assignment unit 303 stores in advance the purpose of use and information on the timing of applying the flag to the biometric information for each purpose of use. For example, if the purpose of use of biological information is for medical purposes and health management purposes, more detailed biological information is required. Therefore, in the case of a medical purpose and a health management purpose, the timing which gives a flag to living body information may be set up so that a flag is given to all the living body information. In addition, the timing which provides a flag according to the purpose of use may differ for every purpose of use, and may be the same.
In such a configuration, the flag assignment unit 303 assigns a flag to the biological information output from the communication control unit 302 according to the purpose of use. For example, when the usage purpose is a medical purpose, the flag assignment unit 303 assigns a flag to all biological information. Then, the flag assignment unit 303 causes the biometric information storage unit 304 to store biometric information. This process is performed for each user.

The biometric information stored in the cloud server 30a may be configured to be acquired by a third party different from the user who acquired the biometric information. Here, the third party may be, for example, a doctor who analyzes the health condition of the user based on the biometric information of the user of the biometric information acquisition source, or may be familiar to the user of the biometric information acquisition source. It may be a person (e.g. a family member or a close friend).
In this case, the following processing is performed. First, as a precondition, information (for example, a user ID, a password, and the like) related to a third party is registered in the cloud server 30a. The third party operates the communication terminal possessed by the third party to designate the purpose of use of the biological information (for example, medical purpose etc.), inputs a user ID and a password, and inputs the user ID and password to the cloud server 30a. Request the biometric information of the acquisition source user). The communication unit 101a generates a biometric information acquisition request including information on the purpose of use, the user ID, and the password input to a third party, and transmits the generated biometric information acquisition request to the cloud server 30a.

The communication control unit 302 of the cloud server 30a determines whether the user ID and password included in the received biometric information acquisition request match the user ID and password stored in the own device. If the user ID and the password do not match, the communication control unit 302 determines that the biological information is not to be transmitted. In this case, the communication control unit 302 generates an error notification and transmits the error notification to the transmission source of the biological information acquisition request via the communication unit 301.
On the other hand, when the user ID and the password match, the communication control unit 302 determines that the biological information is to be transmitted. In this case, the extraction unit 305 refers to the user-specific biometric information storage unit 304, and extracts biometric information to which a use purpose flag included in the request transmitted from the third party communication terminal is attached. Thereafter, the communication unit 301 transmits the extracted biological information to the communication terminal. Note that the communication control unit 302 of the cloud server 30a may determine whether or not the biometric information is to be transmitted by using only the password.

The biometric information may be used as data that can be used by anyone after concealing or deleting personal information of a user who is a biometric information acquisition source. In addition, information such as gender and age may be associated with biometric information. When configured in this manner, the cloud server 30a is configured to include a biometric information storage unit different from the user-specific biometric information storage unit. The biometric information storage unit stores biometric information (except personal information) stored in the user-specific biometric information storage unit or biometric information (except personal information) received via the communication unit 301. Then, the cloud server 30a provides the biometric information stored in the biometric information storage unit in response to the request of the user who has accessed the device.
With this configuration, the user who has requested the biometric information can acquire the biometric information of the user of the gender and age that he / she desires. As a result, the user who has requested biometric information can compare his / her biometric information with the biometric information of other users, and can easily confirm his / her own status. In addition, by acquiring a large amount of data, it becomes possible to use biological information as statistical data or the like for knowing trends in gender and age.

  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.

10, 10a ... communication terminal, 20, 20a ... biometric information sensor, 30a ... cloud server, 40a ... network, 101, 101a ... communication unit, 102 ... acquisition unit, 103 ... biometric information storage unit, 104 ... display control unit, 105 ... display unit, 106, 106a ... input unit, 107 ... switching control unit, 108 ... threshold calculation unit, 109 ... detection unit, 110 ... time interval calculation unit, 111 ... relaxation degree calculation unit, 112 ... relaxation degree storage unit, 113 ... Refreshing degree calculation unit, 301 ... Communication unit, 302 ... Communication control unit, 303 ... Flag assignment unit, 304 ... User-specific biometric information storage unit, 305 ... Extraction unit

Claims (8)

An acquisition unit for acquiring user's electrocardiogram data;
A threshold acquisition unit for acquiring a threshold for detecting an R wave based on the R wave and the T wave in the data of the electrocardiogram acquired in the past;
A detection unit that detects an R wave from electrocardiogram data based on the acquired threshold value;
A relaxation degree acquisition unit that acquires the relaxation degree of the user based on the detection result of the R wave by the detection unit;
The first degree of relaxation, which is the degree of relaxation acquired by the relaxation degree acquiring unit based on the data of the electrocardiogram acquired from the user before performing the predetermined activity, and acquired from the user after performing the predetermined activity The degree of refreshment indicating the extent to which the user has performed the predetermined activity based on the second degree of relaxation, which is the degree of relaxation acquired by the relaxation degree acquisition unit based on the data of the acquired electrocardiogram A refresh degree estimation unit that estimates
Equipped with
The threshold acquiring unit operates the threshold based on R waves and T waves selected by the user from data of the electrocardiogram acquired in the past when operating in a test mode for acquiring the threshold. estimation system get.   The estimation system according to claim 1, wherein the threshold acquisition unit acquires a value between the minimum value of the R wave and the maximum value of the T wave as the threshold.   The estimation system according to claim 1, wherein the detection unit detects, in the data of the electrocardiogram, data indicating a value equal to or more than the threshold as an R wave.   The detection unit according to any one of claims 1 to 3, wherein the detection unit does not detect, as the R wave, data indicating a value equal to or more than the threshold value detected in a certain time after the detection of the R wave. Estimated system described. An information storage unit that stores the data of the electrocardiogram for each user;
A flag giving unit for giving a flag according to a predetermined condition to each timing value of the electrocardiogram data;
A transmitter configured to transmit, to the user, the electrocardiogram data at the value of the timing to which the flag is added among the stored electrocardiogram data according to the user's request;
The estimation system according to any one of claims 1 to 4, further comprising The flag giving unit gives a flag to the value of each timing of the electrocardiogram data at a timing preset for each purpose of use of the electrocardiogram data,
The transmitting unit transmits, to the third party, data of an electrocardiogram at a timing value to which a flag for use designated by a third party different from a user who is a source of acquisition of the data of the electrocardiogram is attached. The estimation system according to claim 5. Acquisition step for acquiring user's electrocardiogram data;
A threshold acquisition step of acquiring a threshold for detecting an R wave based on the R wave and the T wave in the data of the electrocardiogram acquired in the past;
Detecting the R wave from the electrocardiogram data based on the acquired threshold;
A relaxation degree acquisition step of acquiring the relaxation degree of the user based on the detection result of the R wave by the detection step;
First relaxation degree, which is the degree of relaxation acquired in the relaxation degree acquiring step based on the data of the electrocardiogram acquired from the user before performing the predetermined activity, acquired from the user after performing the predetermined activity A refresh degree indicating the extent to which the user has performed the predetermined activity based on the second relaxation degree acquired in the relaxation degree acquiring step based on the data of the acquired electrocardiogram Estimating the degree of refreshment,
I have a,
In the threshold acquisition step, when operating in a test mode for acquiring the threshold, the threshold is selected based on R waves and T waves selected by the user from data of the electrocardiogram acquired in the past. Estimated method to obtain . Acquisition step for acquiring user's electrocardiogram data;
A threshold acquisition step of acquiring a threshold for detecting an R wave based on the R wave and the T wave in the data of the electrocardiogram acquired in the past;
Detecting the R wave from the electrocardiogram data based on the acquired threshold;
A relaxation degree acquisition step of acquiring the relaxation degree of the user based on the detection result of the R wave by the detection step;
First relaxation degree, which is the degree of relaxation acquired in the relaxation degree acquiring step based on the data of the electrocardiogram acquired from the user before performing the predetermined activity, acquired from the user after performing the predetermined activity A refresh degree indicating the extent to which the user has performed the predetermined activity based on the second relaxation degree acquired in the relaxation degree acquiring step based on the data of the acquired electrocardiogram Estimating the degree of refreshment,
On your computer ,
In the threshold acquisition step, when operating in a test mode for acquiring the threshold, the threshold is selected based on R waves and T waves selected by the user from data of the electrocardiogram acquired in the past. get to because of the computer program.

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