JP2021137374A - Exercise support device, exercise support method, exercise support program, and exercise support system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide exercise with an exercise load suitable for the physical condition of the day.
An exercise support device according to an embodiment includes an acquisition unit, a calculation unit, a comparison unit, and an output control unit. The acquisition unit acquires pulsation information during exercise of the subject. The calculation unit calculates the parameters obtained by the heart rate variability analysis based on the pulsation information. The comparison unit compares the parameter with the threshold value. The output control unit outputs the result of the comparison.
[Selection diagram] Fig. 2

Description

Embodiments of the present invention relate to an exercise support device, an exercise support method, an exercise support program, and an exercise support system.

Conventionally, cardiac rehabilitation (also referred to as "cardiac rehabilitation") has been performed in order to improve cardiac function that has deteriorated due to heart disease or the like. For example, as mental rehabilitation, aerobic exercise using exercise equipment such as a bicycle ergometer or a treadmill is performed. In cardiac rehabilitation, care must be taken not to put an excessive burden on the heart, but on the other hand, it is also necessary to put a moderate burden on improving cardiac function. For this reason, mental rehabilitation is provided by managing the exercise load (also referred to as "exercise level") under the supervision of medical professionals such as doctors and physiotherapists.

Shiraishi Y, Katsumata Y, Sadahiro T, Azuma K, Akita K, Isobe S, Yashima F, Miyamoto K, Nishiyama T, Tamura Y, Kimura T, Nishiyama N, Aizawa Y, Fukuda K, Takatsuki S. “Real-Time Analysis” of the Heart Rate Variability During Incremental Exercise for the Detection of the Ventilatory Threshold. ”J Am Heart Assoc. 2018 Jan 7.7 (1). Pii: e006612. doi: 10.1161 / JAHA.117.006612.

By the way, when the patient's cardiac function improves to a certain level and the patient is discharged from the hospital, the patient will continue to undergo cardiac rehabilitation at home. However, it is difficult for patients to manage the exercise load of mental rehabilitation by themselves. For example, since the physical condition changes every day, it is difficult for the patient to set the exercise load according to the physical condition of the day. In addition, in patients with heart disease, there are days when the symptoms improve by taking the drug, and there are days when the symptoms worsen for some reason, so it is difficult for the patient to set the exercise load according to the physical condition of the day. ..

An object to be solved by the present invention is to provide exercise with an exercise load suitable for the physical condition of the day. It should be noted that providing exercise with an exercise load that matches the physical condition of the day is considered to be beneficial not only to patients with heart disease but also to healthy subjects.

In order to solve the above-mentioned problems and achieve the object, the present invention uses an acquisition unit that acquires pulsation information during exercise of the subject, and parameters obtained by heart rate variability analysis based on the pulsation information. It is an exercise support device including a calculation unit for calculation, a comparison unit for comparing the parameters and a threshold value, and an output control unit for outputting the result of the comparison.

Further, the present invention acquires beat information during exercise of a subject, calculates a parameter obtained by heart rate variability analysis based on the beat information, compares the parameter with a threshold value, and makes the comparison. It is an exercise support method including outputting the result of.

Further, the present invention acquires beat information during exercise of a subject, calculates a parameter obtained by heart rate variability analysis based on the beat information, compares the parameter with a threshold value, and makes the comparison. This is an exercise support program that causes a computer to execute each process that outputs the results of.

Further, the present invention is an exercise support system including an information processing device provided with a sensor capable of acquiring beat information during exercise of a subject and an exercise providing device capable of adjusting an exercise load. An acquisition unit that acquires beat information during exercise of a person, a calculation unit that calculates parameters obtained by heart rate variability analysis based on the beat information, and a comparison unit that compares the parameters with a threshold value. Based on the result of the comparison, a determination unit for determining the adjustment amount of the exercise load in the exercise providing device and an adjusting unit for adjusting the exercise load in the exercise providing device based on the determined adjustment amount are provided. , Exercise support system.

According to the present invention, it is possible to provide exercise with an exercise load that matches the physical condition of the day.

FIG. 1 is a diagram showing a configuration example of an exercise support system according to the first embodiment. FIG. 2 is a diagram showing a configuration example of the exercise support device and the exercise providing device according to the first embodiment. FIG. 3 is a flowchart showing a processing procedure in the exercise support system according to the first embodiment. FIG. 4 is a diagram for explaining the processing of the calculation unit according to the first embodiment. FIG. 5 is a diagram for explaining the processing of the calculation unit according to the first embodiment. FIG. 6 is a diagram showing an example of message display according to the first embodiment. FIG. 7 is a diagram for explaining the exercise provided by the exercise support system according to the first embodiment. FIG. 8 is a diagram showing a configuration example of the exercise support device according to the second embodiment. FIG. 9 is a flowchart showing a processing procedure in the exercise support device according to the second embodiment. FIG. 10 is a flowchart showing a processing procedure in the exercise support device according to another embodiment.

Hereinafter, the exercise support device, the exercise support method, the exercise support program, and the exercise support system according to the embodiment will be described with reference to the drawings. The embodiment is not limited to the following embodiments. Moreover, the content described in one embodiment can be similarly applied to other embodiments in principle.

(First Embodiment)
A configuration example of the exercise support system 10 according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram showing a configuration example of the exercise support system 10 according to the first embodiment.

As shown in FIG. 1, for example, the exercise support system 10 is a group of devices for providing exercise with an exercise load according to the physical condition of the subject S on the day. Here, the subject S is, for example, a person (for example, a patient with a heart disease) who performs cardiac rehabilitation (also referred to as “cardiac rehabilitation”), but is not limited thereto. That is, the exercise support system 10 can be used not only by a heart disease patient but also by a healthy person as long as he / she desires exercise with an exercise load suitable for the physical condition of the day.

The exercise support system 10 includes an exercise support device 100 and an exercise providing device 200. The exercise support device 100 and the exercise providing device 200 are connected to each other so as to be able to communicate with each other by an arbitrary communication method. The subject S is not included in the configuration of the exercise support system 10.

The exercise support device 100 is an information processing terminal capable of acquiring the pulsation information of the subject S. For example, the exercise support device 100 is realized by a wearable terminal that can be worn by the subject S. The exercise support device 100 is an example of an information processing device.

The exercise providing device 200 is an exercise device having a function of adjusting an exercise load. For example, the exercise providing device 200 is a treadmill.

The contents shown in FIG. 1 are merely examples, and are not limited to the contents shown in the drawings. For example, in FIG. 1, the case where the exercise support device 100 is a wearable terminal has been described, but the present invention is not limited to this. For example, only a sensor capable of acquiring beat information is attached to the subject S, and information processing functions other than the sensor of the exercise support device 100 are provided on an information processing terminal (personal computer, smartphone, tablet terminal, etc.) different from the sensor. It may be installed. Further, the exercise providing device 200 is not limited to the treadmill, and may be a bicycle ergometer or other exercise equipment for providing aerobic exercise.

A configuration example of the exercise support device 100 and the exercise providing device 200 according to the first embodiment will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the exercise support device 100 and the exercise providing device 200 according to the first embodiment.

As shown in FIG. 2, the exercise support device 100 includes an input unit 101, an output unit 102, a communication unit 103, a storage unit 104, a pulse wave sensor 105, and a processing unit 110. The input unit 101, the output unit 102, the communication unit 103, the storage unit 104, the pulse wave sensor 105, and the processing unit 110 are connected to each other.

The input unit 101 is an electronic device that receives various input operations from the user (user) of the exercise support device 100, converts the received input operations into electric signals, and outputs the received input operations to the processing unit 110. For example, the input unit 101 includes a mouse, a keyboard, a trackball, a switch, a button, a joystick, a touch pad for performing input operations by touching an operation surface, a touch screen in which a display screen and a touch pad are integrated, and an optical sensor. It is realized by the non-contact input circuit, voice input circuit, etc. used. The user is mainly the target person S, but is a person who is in a position to supervise the mental rehabilitation (doctor, physiotherapist, etc.) and a person who guides the exercise of the target person S (personal trainer, etc.). You may.

The output unit 102 is an electronic device that outputs various types of information. For example, the output unit 102 is realized by a display that outputs information as an image, a speaker that outputs information as sound, a vibrator that outputs information as a vibration pattern, and the like.

The communication unit 103 is an electronic device that controls communication performed between the exercise support device 100 and the external device. For example, the communication unit 103 is connected to the communication unit 203 included in the exercise providing device 200 by an arbitrary communication method, and transmits and receives various information to and from the exercise providing device 200. The communication unit 103 is realized by a network card, a network adapter, a NIC (Network Interface Controller), or the like.

The storage unit 104 is an electronic device that stores various types of information. For example, the storage unit 104 is realized by a RAM (Random Access Memory), a semiconductor memory element such as a flash memory, a hard disk, an optical disk, or the like. Further, the storage unit 104 stores a program for the processing unit 110 to realize its function.

The pulse wave sensor 105 is a sensor that measures the pulse wave signal of the subject S. For example, the pulse wave sensor 105 is a reflection type pulse wave sensor, and measures the pulse wave signal of the subject S by the photoelectric pulse wave method. The pulse wave signal is a measurement of blood flow (change in blood vessel volume) that changes with the beating of the heart over time. The pulse wave sensor 105 transmits the signal value of the measured pulse wave signal to the memory (storage unit 104). The pulse wave signal is an example of pulsation information.

Although the case where the reflection type pulse wave sensor is applied as the pulse wave sensor 105 has been described here, the present invention is not limited to this. For example, the pulse wave sensor 105 may be a transmission type pulse wave sensor.

Further, the pulsation information is not limited to the pulse wave signal measured by the reflective or transmissive photoelectric pulse wave method. As the pulsation information acquired in the present embodiment, any information can be used as long as the heartbeat interval (RR interval) or the time information corresponding to the heartbeat interval can be extracted. That is, the pulsation information includes an electrocardiogram method that measures the waveform (heartbeat waveform) of an electric pulse according to the cardiac cycle, a sphygmomanometer method that measures a change in blood vessel pressure that changes with the pulsation, and a pulsation. It can also be measured by a heart sound projection or the like that measures the sound generated by the blood pressure.

The processing unit 110 is an electronic device (processor) having various information processing functions. For example, the processing unit 110 includes a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), a programmable logic device (for example, a Simple Programmable Logic Device (SPLD)), and a composite programmable device. It is realized by a circuit such as a logic device (Complex Programmable Logic Device: CPLD) and a field programmable gate array (FPGA).

For example, the processing unit 110 includes an acquisition unit 111, a calculation unit 112, a comparison unit 113, a determination unit 114, and an output control unit 115. The processing functions of the acquisition unit 111, the calculation unit 112, the comparison unit 113, the determination unit 114, and the output control unit 115 are stored in the storage unit 104 in the form of a program that can be executed by a computer. The processing unit 110 can realize the processing function corresponding to each program by reading the program corresponding to each processing function from the storage unit 104 and executing the program. Each processing function of the processing unit 110 will be described later with reference to FIG.

The motion providing device 200 includes an input unit 201, an output unit 202, a communication unit 203, a storage unit 204, and a processing unit 210. The input unit 201, the output unit 202, the communication unit 203, the storage unit 204, and the processing unit 210 are connected to each other. Since the basic configurations of the input unit 201, the output unit 202, and the communication unit 203 are the same as the basic configurations of the input unit 101, the output unit 102, and the communication unit 103, the description thereof will be omitted.

The basic configuration of the storage unit 204 is the same as the basic configuration of the storage unit 104. The storage unit 204 stores a program for the processing unit 210 to realize its function.

The basic configuration of the processing unit 210 is the same as the basic configuration of the processing unit 110. The processing unit 210 includes an adjusting unit 211. The processing function of the adjusting unit 211 is stored in the storage unit 204 in the form of a program that can be executed by a computer. The processing unit 210 can realize the processing function of the adjusting unit 211 corresponding to the program by reading the program corresponding to the processing function of the adjusting unit 211 from the storage unit 204 and executing the program. The processing function of the adjusting unit 211 will be described later with reference to FIG.

The contents shown in FIG. 2 are merely examples, and are not limited to the contents shown in the drawings. For example, the processing functions of the acquisition unit 111, the calculation unit 112, the comparison unit 113, the determination unit 114, and the output control unit 115 included in the processing unit 110 can be integrated and distributed with each other. Further, it is also possible for the processing unit 210 to execute some or all of the processing functions of the acquisition unit 111, the calculation unit 112, the comparison unit 113, the determination unit 114, and the output control unit 115 included in the processing unit 110. be.

The processing procedure in the exercise support system 10 according to the first embodiment will be described with reference to FIG. FIG. 3 is a flowchart showing a processing procedure in the exercise support system 10 according to the first embodiment. The process shown in FIG. 3 is started, for example, when a program (application) corresponding to each processing function of the processing unit 110 and the processing unit 210 is started. The user starts the program and then starts exercising.

Here, FIG. 3 describes a case where aerobic exercise using a treadmill is performed for 30 minutes. Here, for 5 minutes after the start of exercise, exercise with an exercise load of half of the reference load amount is provided as a warm-up. Then, from 5 minutes to 7 minutes after the start of exercise, exercise with an exercise load of 3/4 of the reference load amount is provided. Then, after 7 minutes after the start of the exercise, the exercise with the exercise load adjusted by the exercise support system 10 is provided. The reference load amount is a reference load amount for each subject, and is set by, for example, a cardiopulmonary exercise training (CPX).

The length of exercise time, the length of warm-up, the load amount of warm-up, etc. described in FIG. 3 are examples and can be arbitrarily changed. For example, in FIG. 3, a case where two stages of warm-up are performed between 5 minutes after the start of exercise and 5 to 7 minutes after the start of exercise will be described. The length can be changed arbitrarily. In addition, the warm-up load can be changed arbitrarily.

As shown in FIG. 3, in the exercise support device 100, the processing unit 110 determines whether or not the processing timing is reached (step S101). For example, the processing unit 110 determines that the first processing timing is 5 minutes after the program is started. Further, the processing unit 110 determines that the processing timing is reached every two minutes after the previous processing timing. When it is determined that the processing timing is not reached (steps S101 and No), the processing unit 110 does not execute the processing after step S102 and is in a standby state.

The time interval for determining whether or not the processing timing is not limited to "5 minutes after the program is started" and "every 2 minutes from the previous time" can be arbitrarily changed. Further, the determination of whether or not the processing timing is not necessarily defined by the time interval. For example, the determination of whether or not it is the processing timing may be defined by the detection timing of the pulsation, such as "every time a pulsation (for example, R wave) is detected". When it is determined that the processing timing is reached each time a beat is detected, processing in substantially real time becomes possible.

When it is determined that it is the processing timing (step S101, Yes), the acquisition unit 111 acquires the pulsation information during the exercise of the target person S (step S102). For example, the acquisition unit 111 reads the pulse wave signal measured by the pulse wave sensor 105 from the memory (storage unit 104). Specifically, the acquisition unit 111 reads out the pulse wave signal from the current time to 30 seconds before as a processing target. The length of the pulse wave signal (pulsation information) to be processed can be arbitrarily set.

Subsequently, the calculation unit 112 calculates the value (also referred to as “HF”) of the high frequency component in the heart rate variability based on the pulsation information (step S103). For example, the calculation unit 112 calculates the HF based on the pulse wave signal of the processing target acquired by the acquisition unit 111.

Here, the heart rate variability analysis during exercise of the subject S is performed because it is suggested by the inventors that the anaerobic metabolism threshold can be predicted by the heart rate variability analysis (Non-Patent Document 1). .. In particular, it was shown that the "HF" calculated by the heart rate variability analysis gradually decreased after the start of exercise and stabilized at a value of about 1 to 5 depending on the amount of exercise load. On the other hand, since the resting HF fluctuates depending on the physical condition of the day, the time and the degree of stability until the HF reaches 5 or less fluctuate depending on the physical condition of the day. Therefore, the inventors focused on HF for the purpose of providing exercise with an exercise load suitable for the physical condition of the day. In this embodiment, not only HF but also other parameters obtained by heart rate variability analysis can be used. The processing when other parameters are used will be described later.

The processing of the calculation unit 112 according to the first embodiment will be described with reference to FIGS. 4 and 5. 4 and 5 are diagrams for explaining the processing of the calculation unit 112 according to the first embodiment.

As shown in FIG. 4, the calculation unit 112 performs heart rate variability analysis using the pulse wave signal from the current time to 30 seconds before. Here, the heart rate variability analysis is a method for analyzing the periodic variability of the heart rate (heart rate variability). For example, in the heart rate variability analysis, the RR interval in the heart rate waveform is calculated (upper figure in FIG. 4), and the change over time (heart rate variability waveform) in the RR interval is obtained (lower figure in FIG. 4).

In FIG. 4, for convenience of explanation, a case where a heart rate variability waveform is obtained from a heartbeat waveform has been described, but it is known that the pulse also fluctuates in conjunction with the heartbeat. That is, in the present embodiment, the calculation unit 112 treats the pulse interval calculated from the pulse wave signal in the same manner as the RR interval, so that the pulse interval changes with time (pulse fluctuation waveform) corresponding to the heart rate variability waveform. Can be obtained.

Then, as shown in FIG. 5, the calculation unit 112 calculates the power spectrum from the pulse fluctuation waveform by the maximum entropy method (MEM). Of these, the power spectrum in the frequency band of 0.04 to 0.15 Hz corresponds to the value of the low frequency component (also referred to as "LF"), and the power spectrum in the frequency band of 0.15 to 0.4 Hz. The power spectrum corresponds to "HF". As a result, the calculation unit 112 calculates the HF in real time.

The contents shown in FIGS. 4 and 5 are merely examples, and are not limited to the contents shown in the drawings. For example, as a method for calculating HF, a known technique can be arbitrarily applied, including the technique described in Non-Patent Document 1. Further, the frequency bands of HF and LF described above can be arbitrarily adjusted.

Returning to the description of FIG. The comparison unit 113 compares the HF with the first threshold value “5” (step S104). Here, when the HF is less than the first threshold value “5” (step S104, Yes), the determination unit 114 determines the adjustment amount so as to reduce the current exercise load (step S105). For example, the determination unit 114 determines the adjustment amount so as to reduce the speed or inclination of the treadmill. The adjustment amount is preferably 15% of the reference load amount.

For example, the determination unit 114 determines the adjustment amount "−0.3 degree" when the reference load amount of the inclination of the treadmill is "2 degrees". The adjustment amount is not limited to 15% of the reference load amount, and can be arbitrarily set between, for example, about 10% to 20%.

On the other hand, when the HF is equal to or higher than the first threshold value “5” (step S104, No), the comparison unit 113 compares the HF with the second threshold value “10” (step S106). Here, when the HF is equal to or higher than the second threshold value “10” (step S106, Yes), the determination unit 114 determines the adjustment amount so as to increase the current exercise load (step S107). For example, the determination unit 114 determines the adjustment amount so as to increase the speed or inclination of the treadmill. The adjustment amount is preferably 15% of the reference load amount.

For example, when the reference load amount of the inclination of the treadmill is "2 degrees", the determination unit 114 determines the adjustment amount "+0.3 degrees". The adjustment amount is not limited to 15% of the reference load amount, and can be arbitrarily set between, for example, about 10% to 20%.

On the other hand, when the HF is less than the second threshold value “10” (step S106, No), the determination unit 114 determines the adjustment amount so as to maintain the current exercise load (step S108). For example, the determination unit 114 determines the adjustment amount “0” so as to maintain the speed and inclination of the treadmill.

That is, the comparison unit 113 and the determination unit 114 execute the process so as to maintain the HF between 5 and 10. Here, the reason why the HF is maintained between 5 and 10 is that the inventors suggest that the HF considered to be the anaerobic metabolism threshold is about 1 to 5 (Non-Patent Document 1). .. That is, if the exercise load is about one step lighter than the anaerobic metabolism threshold, it is considered that the load is not excessively applied to the heart, but is moderately applied to improve the heart function. The above-mentioned first threshold value and second threshold value are merely examples, and arbitrary values can be set. Further, the first threshold value and the second threshold value may be set to different values for a healthy person and a patient. Further, the first threshold value and the second threshold value of the patient may be set based on a value of 1/10 of the resting HF value. The second threshold value is a value larger than the first threshold value.

Then, the output control unit 115 transmits information indicating the adjustment amount determined by the determination unit 114 to the motion providing device 200 (step S109). As for the "information indicating the adjustment amount" transmitted here, the value of the adjustment amount such as "+0.3 degree" or "-0.3 degree" may be transmitted as it is, or "2.3 degree". , "1.7 degrees" and other adjusted values may be transmitted.

The motion providing device 200 receives the information indicating the adjustment amount transmitted by the output control unit 115 (step S110).

Then, the adjusting unit 211 adjusts the exercise load based on the information indicating the adjustment amount (step S111). For example, when the adjustment amount value such as "+0.3 degree" or "-0.3 degree" is received, the adjustment unit 211 adds the adjustment amount to the current exercise load to perform a new exercise. Adjust to the load value. Further, when the adjusted value such as "2.3 degrees" or "1.7 degrees" is received, the adjusting unit 211 adjusts to the adjusted value.

Further, when the exercise load is adjusted, the processing unit 210 displays a message (pop-up or the like) indicating that the exercise load has been adjusted on the display (output unit 202). For example, as shown in FIG. 6, the processing unit 210 displays a message M10 stating “the load of exercise has been reduced” on the display. Note that FIG. 6 is a diagram showing an example of message display according to the first embodiment.

The display of the message indicating that the exercise load has been adjusted may be executed by the exercise support device 100. In this case, the exercise providing device 200 transmits a notification to the exercise support device 100 that the exercise load has been adjusted. Upon receiving this notification, the exercise support device 100 (output control unit 115) displays a message indicating that the exercise load has been adjusted on the display (output unit 102).

In addition, the information indicating that the exercise load has been adjusted does not necessarily have to be notified by displaying a message. For example, the output control unit 115 can notify the information indicating that the exercise load has been adjusted by at least one of the message display, the voice output, and the vibration pattern.

In this way, the exercise support system 10 repeatedly executes the processes of steps S102 to S111 each time it is determined that the processing timing is reached. Then, when the preset exercise time elapses, the exercise support system 10 ends the process shown in FIG. The processing may be terminated manually by the user.

Here, the exercise provided by the exercise support system 10 according to the first embodiment will be described with reference to FIG. 7. FIG. 7 is a diagram for explaining the exercise provided by the exercise support system 10 according to the first embodiment. FIG. 7 illustrates a graph showing the exercise load of aerobic exercise provided by the exercise support system 10 over time.

As shown in FIG. 7, for 5 minutes after the start of exercise, exercise with an exercise load of half of the reference load amount is provided as a warm-up. Then, from 5 minutes to 7 minutes after the start of exercise, exercise with an exercise load of 3/4 of the reference load amount is provided. Then, after 7 minutes after the start of exercise, exercise with an exercise load adjusted based on HF is provided every 2 minutes. As described above, HF is considered to be one of the indexes showing the physical condition of the subject S on the day. Therefore, the exercise support system 10 can provide exercise with an exercise load that matches the physical condition of the day.

As described above, the exercise support system 10 includes an information processing device (exercise support device 100) provided with a sensor capable of acquiring beat information during exercise of the subject, and an exercise providing device 200 capable of adjusting the exercise load. And. In the exercise support system 10, the acquisition unit 111 acquires pulsation information during exercise of the subject. The calculation unit 112 calculates the value of the high frequency component in the heart rate variability based on the pulsation information. The comparison unit 113 compares the value of the high frequency component with the threshold value. The determination unit 114 determines the adjustment amount of the exercise load in the exercise providing device 200 based on the result of the comparison. The adjusting unit 211 adjusts the exercise load in the exercise providing device based on the determined adjustment amount. According to this, the exercise support system 10 can provide exercise with an exercise load according to the physical condition of the day.

For example, in the exercise support system 10, when the subject S is discharged from the hospital and the subject S continues to undergo mental rehabilitation at home, the exercise support system 10 applies an exercise load to the subject S according to the physical condition of the day. Exercise can be provided. Therefore, the subject S can perform the exercise with the exercise load according to the physical condition of the day without managing the exercise load of the mental rehabilitation by himself / herself.

(Modified example of the first embodiment)
In the above embodiment, the case where the comparison unit 113 compares each of the two threshold values (first threshold value and the second threshold value) with the HF has been described, but the present invention is not limited to this. For example, the comparison unit 113 may be used to compare one threshold value with the HF.

For example, the comparison unit 113 compares the threshold value with the HF. Here, the threshold value is set to, for example, "5", but the threshold value is not limited to this and can be set arbitrarily.

Then, when the HF is less than the threshold value “5”, the determination unit 114 determines the adjustment amount so as to reduce the current exercise load. On the other hand, when the HF is equal to or higher than the threshold value “5”, the adjustment amount is determined so as to increase the current exercise load.

As described above, the exercise support system 10 can appropriately determine the adjustment amount even when the comparison unit 113 compares one threshold value with the HF.

(Second Embodiment)
In the first embodiment, the case where the exercise load is automatically adjusted has been described, but the present invention is not limited to this. In the second embodiment, a case where the subject S adjusts the exercise load by himself / herself by notifying the subject S of the result of the comparison will be described.

A configuration example of the exercise support device 300 according to the second embodiment will be described with reference to FIG. FIG. 8 is a diagram showing a configuration example of the exercise support device 300 according to the second embodiment. The exercise support device 300 shown in FIG. 8 is, for example, a wearable terminal similar to the exercise support device 100, but is not limited thereto. For example, if only the sensor capable of acquiring the pulsation information is attached to the subject S, the information processing function other than the sensor of the exercise support device 300 may not be attached to the subject S. Further, in the second embodiment, the exercise support device 300 does not have to be connected to the exercise providing device 200.

As shown in FIG. 8, the exercise support device 300 includes an input unit 301, an output unit 302, a communication unit 303, a storage unit 304, a pulse wave sensor 305, and a processing unit 310. The input unit 301, the output unit 302, the communication unit 303, the storage unit 304, the pulse wave sensor 305, and the processing unit 310 are connected to each other.

Note that FIG. 8 has the same basic configuration as the exercise support device 100, except that the processing circuit 310 does not have a processing unit corresponding to the determination unit 114. That is, the basic configurations of the input unit 301, the output unit 302, the communication unit 303, the storage unit 304, the pulse wave sensor 305, and the processing unit 310 are the input unit 101, the output unit 102, the communication unit 103, the storage unit 104, and the pulse wave. Since the basic configuration is the same as that of the sensor 105 and the processing unit 110, the description thereof will be omitted.

The processing procedure in the exercise support device 300 according to the second embodiment will be described with reference to FIG. FIG. 9 is a flowchart showing a processing procedure in the exercise support device 300 according to the second embodiment. The process shown in FIG. 9 is started, for example, when a program (application) corresponding to each processing function of the processing unit 310 is started. The user starts the program and then starts exercising.

Note that, in FIG. 9, the processes of steps S201 to S203 are the same as the processes of steps S101 to S103 shown in FIG. 3, and thus the description thereof will be omitted.

The comparison unit 313 compares the HF with the first threshold value “5” (step S204). Here, when the HF is less than the first threshold value “5” (step S204, Yes), the output control unit 314 notifies the information to reduce the current exercise load (step S205). For example, the output control unit 314 displays a message "Please reduce the exercise load" on the display (output unit 302).

On the other hand, when the HF is equal to or higher than the first threshold value “5” (step S204, No), the comparison unit 313 compares the HF with the second threshold value “10” (step S206). Here, when the HF is equal to or higher than the second threshold value “10” (step S206, Yes), the output control unit 314 notifies the information to increase the current exercise load (step S207). For example, the output control unit 314 displays a message "Please increase the exercise load" on the display (output unit 302).

On the other hand, when the HF is less than the second threshold value “10” (step S206, No), the output control unit 314 notifies the information to maintain the current exercise load (step S108). For example, the output control unit 314 displays a message "Please maintain the exercise load" on the display (output unit 302). In addition, when maintaining the current exercise load, it is not necessary to notify the information itself.

Information to adjust the exercise load does not necessarily have to be notified by displaying a message. For example, the output control unit 314 can notify the information to adjust the exercise load by at least one of the message display, the voice output, and the vibration pattern.

In this way, the exercise support device 300 repeatedly executes the processes of steps S202 to S208 each time it is determined that the processing timing is reached. Then, the exercise support device 300 ends the process shown in FIG. 9 when the preset exercise time elapses. The processing may be terminated manually by the user.

As described above, in the exercise support device 300, the acquisition unit 311 acquires the pulsation information during the exercise of the subject. The calculation unit 312 calculates the value of the high frequency component in the heart rate variability based on the pulsation information. The comparison unit 313 compares the value of the high frequency component with the threshold value. The output control unit 314 outputs the comparison result. According to this, the exercise support device 300 can provide exercise with an exercise load according to the physical condition of the day.

For example, the exercise support device 300 notifies the subject S of the result of comparison between the HF and the threshold value. As a result, the subject S can adjust the exercise load by himself / herself with reference to the result of the notified comparison. Specifically, the subject S can adjust the inclination of the treadmill by himself or the pace of jogging by himself.

(Modified example of the second embodiment)
In the above embodiment, the case where the comparison unit 313 compares each of the two threshold values (first threshold value and the second threshold value) with the HF has been described, but the present invention is not limited to this. For example, the comparison unit 313 may perform a comparison between one threshold value and the HF.

For example, the comparison unit 313 compares the threshold value with the HF. Here, the threshold value is set to, for example, "5", but the threshold value is not limited to this and can be set arbitrarily.

Then, when the HF is less than the threshold value “5”, the output control unit 314 notifies the information to reduce the current exercise load. On the other hand, when the HF is equal to or higher than the first threshold value “5”, the output control unit 314 notifies the information to increase the current exercise load.

As described above, the exercise support device 300 can provide exercise with an exercise load according to the physical condition of the day even when the comparison unit 313 compares one threshold value with the HF.

(Other embodiments)
In addition to the above-described embodiment, it may be implemented in various different forms.

(Use of parameters other than HF)
In the above-described embodiment, focusing on the “HF” obtained by the heart rate variability analysis, the case where each process is executed using the “HF” has been described, but the embodiment is not limited to this, and the heart rate variability is not limited to this. Parameters other than "HF" obtained by analysis can also be applied.

For example, as "parameters obtained by heart rate variability analysis", in addition to "HF", "LF", "L / H", and "CVRR (coefficient of variation of RR intervals)" can be mentioned. .. Hereinafter, the behavior of each parameter and the application method will be described in order.

“LF” is the value of the low frequency component shown in FIG. LF behaves like HF in aerobic exercise. That is, when the LF is applied to the above embodiment, the determination unit 114 determines the adjustment amount so as to reduce the current exercise load when the LF is less than the first threshold value. Further, when the LF is equal to or more than the first threshold value and less than the second threshold value, the determination unit 114 determines the adjustment amount so as to maintain the current exercise load. Further, when the LF is equal to or higher than the second threshold value, the determination unit 114 determines the adjustment amount so as to increase the current exercise load. The second threshold value is a value larger than the first threshold value.

"L / H" is a value obtained by dividing LF by HF. L / H behaves in the opposite way to HF in aerobic exercise. That is, when L / H is applied to the above embodiment, the determination unit 114 determines the adjustment amount so as to increase the current exercise load when the L / H is less than the first threshold value. Further, when the L / H is equal to or more than the first threshold value and less than the second threshold value, the determination unit 114 determines the adjustment amount so as to maintain the current exercise load. Further, when the L / H is equal to or higher than the second threshold value, the determination unit 114 determines the adjustment amount so as to reduce the current exercise load. The second threshold value is a value larger than the first threshold value.

“CVRR” is a coefficient of variation (standard deviation / average value × 100%) obtained by calculating the average value and standard deviation of the RR intervals included in a predetermined period. CVRR behaves like HF in aerobic exercise. That is, when CVRR is applied to the above embodiment, the determination unit 114 determines the adjustment amount so as to reduce the current exercise load when the CVRR is less than the first threshold value. Further, when the CVRR is equal to or more than the first threshold value and less than the second threshold value, the determination unit 114 determines the adjustment amount so as to maintain the current exercise load. Further, when the CVRR is equal to or higher than the second threshold value, the determination unit 114 determines the adjustment amount so as to increase the current exercise load. The second threshold value is a value larger than the first threshold value.

When each parameter of LF, L / H, and CVRR is applied, it is preferable that each threshold value to be compared with each parameter is set for each parameter. The magnitude of the threshold value of each parameter can be arbitrarily set, but as in the case of HF, it is preferable to set the exercise load so that the exercise load is a certain amount lighter than the anaerobic metabolism threshold value. Further, although the process for comparing each parameter with two threshold values has been described here, a case may be used for comparing with one threshold value.

In addition to HF, LF, L / H, and CVRR, if there is a parameter whose behavior in aerobic exercise is clarified among the parameters obtained by heart rate variability analysis, that parameter can be applied in the same manner as above. Is.

It is also possible to define new parameters using the parameters obtained by heart rate variability analysis. For example, the parameter "1 / HF" can be newly defined and applied. Since "1 / HF" is the reciprocal of HF, it is considered that the behavior is opposite to that of HF in aerobic exercise. Therefore, when "1 / HF" is applied, the application method (up and down of the adjustment amount according to the comparison result with the threshold value) is the same as the above "L / H".

In addition, parameters other than HF can be applied to the second embodiment. When applied to the second embodiment, the output control unit 314 outputs the result of comparison between the parameter and the threshold value. For example, the output control unit 314 can display a message such as "Please increase the exercise load" or "Please decrease the exercise load" based on the behavior of each parameter in aerobic exercise. Further, the output control unit 314 may output only information indicating whether each parameter is equal to or more than the threshold value or less than the threshold value. In this case, the subject S can determine whether to increase or decrease the exercise load by himself / herself based on whether the exercise load is equal to or more than the threshold value or is less than the threshold value.

(Determination of exercise time based on resting HF)
In the above-described embodiment, the case where the exercise time of aerobic exercise is constant (30 minutes) has been described, but the present invention is not limited to this. For example, the exercise time for aerobic exercise may be determined based on the resting HF.

A processing procedure in the exercise support device 100 according to another embodiment will be described with reference to FIG. FIG. 10 is a flowchart showing a processing procedure in the exercise support device 100 according to another embodiment. The process shown in FIG. 10 is started, for example, when a program (application) corresponding to each processing function of the processing unit 110 is started. The user starts the program and then starts exercising.

Although FIG. 10 describes a case where the exercise support device 100 determines the exercise time based on the resting HF, the exercise support device 300 can also execute the same process.

Further, before the processing of FIG. 10 is started, the storage unit 104 stores the past HF of the subject S in association with the length of the past exercise time. For example, the storage unit 104 stores the HF of the subject S on the previous day in association with the length of the exercise time on the previous day. As for the past HF of the subject S, a value calculated based on the past resting beat information of the subject S is stored in the storage unit 104 in advance.

As shown in FIG. 10, in the exercise support device 100, the processing unit 110 determines whether or not the processing timing is reached (step S301). Since the process of step S301 is the same as the process of step S101 shown in FIG. 3, the description thereof will be omitted.

When it is determined that it is the processing timing (step S301, Yes), the acquisition unit 111 acquires the pulsation information at rest on the day of the subject S (step S302). For example, the acquisition unit 111 reads out the pulse wave signal from the time when the program is started to 30 seconds before. The process of step S302 is the same as the process of step S102 shown in FIG. 3, except that the processing target is “resting beat information”, and thus the description thereof will be omitted.

Subsequently, the calculation unit 112 calculates the resting HF of the day based on the resting beat information of the day (step S303). The process of step S303 is the same as the process of step S103 shown in FIG. 3, except that the processing target is “resting beat information”, and thus the description thereof will be omitted.

Then, the comparison unit 113 compares the resting HF of the day with the resting HF of the past (step S304). For example, the comparison unit 113 reads out the resting HF of the subject S on the previous day and the length of the exercise time on the previous day from the storage unit 104. Then, the comparison unit 113 compares the resting HF of the subject S on the day with the resting HF of the previous day.

Then, the comparison unit 113 determines the length of the exercise time on the day based on the result of the comparison (step S305). For example, the comparison unit 113 determines the length of exercise time on the day based on the ratio of the past resting HF to the resting HF on the day.

For example, a case where the resting HF of the day is "100", the resting HF of the previous day is "90", and the length of the exercise time of the previous day is "30 minutes" will be described. In this case, for example, the comparison unit 113 multiplies the ratio "100/90" of the resting HF of the previous day to the resting HF of the day by the length of the exercise time of the previous day "30 minutes" to exercise the day. Calculate the length of time "33.3 minutes". The above-mentioned method for calculating the exercise time is just an example, and any calculation method can be applied.

Then, the output control unit 115 outputs the length of the exercise time of the day (step S306). For example, the output control unit 115 transmits the length of the exercise time “33.3 minutes” of the day to the exercise providing device 200. In this case, when the exercise providing device 200 receives the length of the exercise time of the day "33.3 minutes", the exercise providing device 200 sets the length of the exercise time of the day to the received value.

Further, the output control unit 115 notifies the user of the length of the exercise time of the day "33.3 minutes". In this case, the user ends the exercise by himself / herself when 33.3 minutes have passed from the start of the exercise.

In this way, the exercise support device 100 can provide exercise with an exercise load that matches the physical condition of the day. For example, the exercise support device 100 compares the resting HF of the day with the resting HF of the past to determine the length of the exercise time of the day, so that the subject S exercises with an exercise load according to the physical condition of the day. Can be provided.

Also in determining the exercise time, parameters obtained by heart rate variability analysis other than HF can be applied. In this case, the extension / shortening of the exercise time can be determined with reference to the behavior of each parameter in aerobic exercise.

For example, since LF (and CVRR) behaves similarly to HF, if the resting LF of the day is larger than the resting LF of the past, the exercise time of the day is extended from the exercise time of the past. On the other hand, when the resting LF of the day is smaller than the resting LF of the past, the exercise time of the day is shortened from the past exercise time.

Further, for example, since L / H behaves in the opposite manner to HF, if the resting L / H of the day is larger than the past resting L / H, the exercise time of the day is changed to the past exercise time. Shorten more. On the other hand, when the resting L / H of the day is smaller than the past resting L / H, the exercise time of the day is extended from the past exercise time.

In determining the exercise time, parameters other than HF, LF, L / H, and CVRR can be applied as long as they are parameters obtained by heart rate variability analysis.

The above-described embodiment can be arbitrarily combined with the above modified examples, or the above modified examples may be arbitrarily combined with each other.

Further, the program (exercise support program) executed by the exercise support device 100 of the above-described embodiment is a file in an installable format or an executable format, and is a CD-ROM, a flexible disk (FD), a CD-R, or a DVD. , USB (Universal Serial Bus) or the like may be configured to record and provide on a computer-readable recording medium, or may be configured to be provided or distributed via a network such as the Internet. Further, various programs may be configured to be provided by being incorporated in advance in a non-volatile storage medium such as a ROM.

10 Exercise support system 100,300 Exercise support device 101,301 Input unit 102,302 Output unit 103,303 Communication unit 104,304 Storage unit 105,305 Pulse wave sensor 110,310 Processing unit 111,311 Acquisition unit 112,312 Calculation Unit 113,313 Comparison unit 114 Determination unit 115,314 Output control unit 200 Motion providing device 201 Input unit 202 Output unit 203 Communication unit 204 Storage unit 210 Processing unit 211 Adjustment unit

Claims (15)

An acquisition unit that acquires pulsation information during exercise of the subject,
A calculation unit that calculates parameters obtained by heart rate variability analysis based on the pulsation information,
A comparison unit that compares the parameters with the threshold value,
An exercise support device including an output control unit that outputs the result of the comparison. Further, a determination unit for determining the adjustment amount of the exercise load in the exercise providing device based on the result of the comparison is provided.
The output control unit transmits information indicating the determined adjustment amount to the exercise providing device.
The exercise support device according to claim 1. The output control unit notifies the target person of information indicating that the exercise load has been adjusted.
The exercise support device according to claim 1 or 2. The output control unit notifies information indicating that the exercise load has been adjusted by at least one of a message display, a voice output, and a vibration pattern.
The exercise support device according to claim 3. The parameter is a value of a high frequency component in heart rate variability.
The comparison unit compares each of the first threshold value and the second threshold value larger than the first threshold value with the value of the high frequency component.
The decision unit
When the value of the high frequency component is less than the first threshold value, the adjustment amount is determined so as to reduce the current exercise load.
When the value of the high frequency component is equal to or more than the first threshold value and less than the second threshold value, the adjustment amount is determined so as to maintain the current exercise load.
The exercise support device according to claim 2, wherein when the value of the high frequency component is equal to or higher than the second threshold value, the adjustment amount is determined so as to increase the current exercise load. The parameter is a value of a high frequency component in heart rate variability.
The decision unit
When the value of the high frequency component is less than the threshold value, the adjustment amount is determined so as to reduce the current exercise load.
The exercise support device according to claim 2, wherein when the value of the high frequency component is equal to or greater than the threshold value, the adjustment amount is determined so as to increase the current exercise load. The output control unit notifies the target person of the result of the comparison.
The exercise support device according to claim 1. The output control unit notifies the result of the comparison by at least one of a message display, a voice output, and a vibration pattern.
The exercise support device according to claim 7. The parameter is a value of a high frequency component in heart rate variability.
The comparison unit compares each of the first threshold value and the second threshold value larger than the first threshold value with the value of the high frequency component.
The output control unit
When the value of the high-frequency component is less than the first threshold value, the subject is notified of information that the exercise load is lower than the current exercise load.
When the value of the high frequency component is equal to or higher than the first threshold value and lower than the second threshold value, the subject is notified of information that the current exercise load is maintained.
The exercise support device according to claim 7 or 8, wherein when the value of the high-frequency component is equal to or higher than the second threshold value, the subject is notified of information that the exercise load is higher than the current exercise load. The parameter is a value of a high frequency component in heart rate variability.
The output control unit
When the value of the high-frequency component is less than the threshold value, the subject is notified of information that the exercise load is lower than the current exercise load.
The exercise support device according to claim 7 or 8, wherein when the value of the high-frequency component is equal to or higher than the threshold value, the subject is notified of information that the exercise load is higher than the current exercise load. A memory obtained by heart rate variability analysis, in which the past parameters calculated based on the past resting beat information of the subject and the length of the past exercise time are stored in association with each other. With more parts
The acquisition unit further acquires the pulsation information at rest on the day of the subject, and obtains the pulsation information.
The calculation unit further calculates the parameters of the day based on the pulsation information at rest on the day.
The comparison unit
Comparing the past parameters with the parameters of the day,
Based on the result of the comparison, the length of exercise time on the day was determined.
The output control unit outputs the determined length of exercise time on the day.
The exercise support device according to any one of claims 1 to 10. Acquires the pulsation information of the subject during exercise,
Based on the pulsation information, the parameters obtained by the heart rate variability analysis are calculated.
Comparing the above parameters with the threshold value
An exercise support method including outputting the result of the comparison. Acquires the pulsation information of the subject during exercise,
Based on the pulsation information, the parameters obtained by the heart rate variability analysis are calculated.
Comparing the above parameters with the threshold value
An exercise support program that causes a computer to execute each process that outputs the results of the comparison. An information processing device equipped with a sensor that can acquire pulsation information during exercise of the subject,
An exercise provider that can adjust the exercise load and
It is an exercise support system equipped with
An acquisition unit that acquires pulsation information during exercise of the subject,
A calculation unit that calculates parameters obtained by heart rate variability analysis based on the pulsation information,
A comparison unit that compares the parameters with the threshold value,
Based on the result of the comparison, a determination unit that determines the adjustment amount of the exercise load in the exercise providing device, and
An exercise support system including an adjustment unit that adjusts an exercise load in the exercise providing device based on the determined adjustment amount. A storage unit that stores the parameters obtained by heart rate variability analysis in association with the past parameters calculated based on the past resting beat information of the subject and the length of the past exercise time. When,
The acquisition unit that acquires the resting beat information of the subject on the day, and
A calculation unit that calculates the parameters of the day based on the pulsation information at rest on the day.
A comparison unit that compares the past parameters with the parameters of the day and determines the length of exercise time of the day based on the result of the comparison.
An exercise support device including an output control unit that outputs a determined length of exercise time on the day.

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