JP2018143442A - Electronic equipment and heat acclimation determination program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To estimate a degree of heat acclimation easily.SOLUTION: Electronic equipment includes an acquisition part for acquiring a pulse rate and a determination part for calculating a time length TD1 that transitions from a pulse rate in an action condition to a pulse rate in a rest state, and determining a degree of heat acclimation based on the time length TD1. The determination part determines that the heat acclimation has not been completed yet when the time length TD1 that transitions from a pulse rate in an action condition to a pulse rate in a rest state is a predetermined threshold or more, and determines that the heat acclimation has been completed when the time length TD1 that transitions from a pulse rate in an action condition to a pulse rate in a rest state is less than the predetermined threshold.SELECTED DRAWING: Figure 2

Description

  The present invention relates to an electronic device that estimates the degree of heat acclimatization and a heat acclimatization determination program.

  Gradually getting used to the heat is called heat acclimatization. The heat acclimatization is completed by living in a hot environment for about 10 days to 2 weeks, for example. The hot environment is, for example, a hot and humid environment. For example, there is a method of determining completion of heat acclimatization depending on whether or not the statistical value of the pulse rate is less than a predetermined threshold.

Japanese Patent Laying-Open No. 2015-054224

  However, it takes time in units of one day to obtain the pulse rate statistics. The statistical value of the pulse rate includes, for example, an average value of the daily pulse rate. Since the determination about acclimatization to heat cannot be received immediately, the user may feel inconvenience.

  An object of this invention is to provide the electronic device which can estimate the degree of heat acclimatization easily, and a heat acclimatization determination program.

  One aspect of the present invention is an acquisition unit that acquires a pulse rate, and calculates a time length from a pulse rate in a behavioral state to a pulse rate in a resting state, and based on the time length, heat acclimatization And a determination unit for determining the degree of the electronic device.

  According to the disclosed electronic device and the heat acclimatization determination program, the degree of heat acclimatization can be easily estimated.

FIG. 1 is a diagram illustrating an example of a system configuration of the body load state determination system according to the first embodiment. FIG. 2 is a diagram illustrating an example of the transition of the pulse rate when the heat acclimatization is completed. FIG. 3 is a diagram illustrating an example of the pulse rate transition before the completion of heat acclimatization. FIG. 4 is an example of an external view from one direction of the wearable terminal according to the first embodiment. FIG. 5 is an example of an external view of the wearable terminal from another direction. FIG. 6 is a diagram illustrating an example of a hardware configuration of the wearable terminal. FIG. 7 is a diagram illustrating an example of a hardware configuration of the pulse sensor. FIG. 8 is a diagram illustrating an example of a functional configuration of the wearable terminal. FIG. 9 is a diagram illustrating an example of a hardware configuration of the server. FIG. 10 is a diagram illustrating an example of a functional configuration of the server. FIG. 11A is an example of a flowchart of heat acclimatization determination processing of the determination unit of the server. FIG. 11B is an example of a flowchart of the heat acclimatization determination process of the determination unit of the server. FIG. 11C is an example of a flowchart of the heat acclimatization determination process of the determination unit of the server. FIG. 12 is an example of a flowchart of the alarm determination process of the alarm output determination unit of the server. FIG. 13A is an example of a flowchart of heat acclimatization determination processing of the determination unit of the server according to the modification. FIG. 13B is an example of a flowchart of the heat acclimation determination process of the determination unit of the server according to the modification. FIG. 14 is a diagram illustrating an example of a functional configuration of the wearable terminal according to the second embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. The configuration of the following embodiment is an exemplification, and the present invention is not limited to the configuration of the embodiment.

<First Embodiment>
FIG. 1 is a diagram illustrating an example of a system configuration of the body load state determination system according to the first embodiment. The body load state determination system 100 includes a server 3, a mobile terminal 2, and a wearable terminal 1. The server 3 is an example of an “electronic device”.

The wearable terminal 1 includes an acceleration sensor and a pulse sensor, and detects acceleration, a pulse rate of the wearer of the wearable terminal 1 and the like. The wearable terminal 1 transmits the exercise information acquired from the acceleration, the pulse rate of the wearer of the wearable terminal 1, and the like to the portable terminal 2 by communication using, for example, BLE (Bluetooth (registered trademark) Low Energy) at a predetermined cycle. To do. The transmission cycle of the exercise information and the pulse rate is set, for example, on the order of seconds such as 1 second. The exercise information is information related to the exercise of the wearable terminal 1 acquired from the acceleration, and is the exercise intensity and the number of steps in the first embodiment. When the mobile terminal 2 receives the exercise information, the pulse rate, and the like from the wearable terminal 1, the mobile terminal 2 transmits the information to the server 3 by wireless LAN communication, for example. The wireless communication between the portable terminal 2 and the server 3 is not limited to the wireless LAN. For example, 3GPP (3rd Generation Partnership)
Project), LTE (Long Term Evolution), LTE-advanced and other carrier networks may be used.

  The server 3 monitors the exercise information and the pulse rate received from the portable terminal 2 and estimates the degree of heat acclimatization of the wearer of the wearable terminal 1. In the first embodiment, heat acclimatization completion and heat acclimatization incomplete are estimated. For example, the server 3 determines whether or not it is necessary to output an alarm indicating that the environment is in a state of applying a load to a human, according to the estimation result of the degree of acclimatization of heat. The state in which the environment gives a load to humans is, for example, a state in which the risk of developing heat stroke is high in a hot and humid state.

  Specifically, in the first embodiment, the server 3 estimates the degree of heat acclimation based on the length of time until the pulse rate in the behavioral state transitions to the pulse rate in the resting state. The action state is a state in which the wearer of the wearable terminal 1 is moving regardless of movement. The resting state is a state in which the wearer of the wearable terminal 1 is resting. The action state and the resting state are collectively referred to as an exercise state.

When the human body is exposed to a hot environment, it tries to release heat to the outside of the body in order to suppress the temperature rise in the deep part of the body such as the brain and internal organs. In order to release heat, blood flow increases, the temperature of the skin surface rises, and heat in the body is released through contact with outside air or as infrared rays. When the heat acclimatization is completed, the movement to release the heat in the body starts earlier than before the heat acclimatization is completed, and the body temperature in the deep part of the body is difficult to rise.

  On the other hand, before the heat acclimatization is completed, the movement to release heat in the body starts slowly. Therefore, before completion of heat acclimation, the body temperature in the deep part is likely to rise more than after heat acclimation is completed, and it takes time to decrease. Increasing the time until the deep body temperature decreases means increasing the time for increasing blood flow. Since the blood flow is generated by a heartbeat, a longer time for increasing the blood flow results in a longer pulse rate. That is, before the completion of the heat acclimation, the time during which the pulse rate is high when the state transitions from the action state to the rest state is longer than after the heat acclimation is completed.

  The present inventor pays attention to this point, and before completion of heat acclimatization, even if the transition from the action state to the resting state takes time to dissipate on the bloodstream, the pulse rate is high. Has been found to last for a predetermined time. For example, the time during which the pulse rate continues to be high when transitioning from the behavioral state to the resting state before the completion of heat acclimatization is 2 minutes.

  In 1st Embodiment, when the time length until the pulse rate of the wearer of the wearable terminal 1 changes from the pulse rate in a behavioral state to the pulse rate in a resting state is less than the predetermined time, the heat order of the wearer The completion of conversion is estimated. Thereby, the degree of heat acclimatization of the wearer of the wearable terminal 1 can be easily estimated in a relatively short time (minute or time unit) from the pulse rate and the exercise state.

  FIG. 2 is a diagram illustrating an example of the transition of the pulse rate when the heat acclimatization is completed. In the example shown in FIG. 2, the result of measuring the pulse rate in a 1-minute cycle when the heat index (WBGT: Wet Bulb Globe Temperature) is equal to or higher than the threshold value is plotted. The heat index is an index used for heat stroke prevention. The heat index is calculated using, for example, a conversion table in which temperature is the vertical axis and humidity is the horizontal axis. The unit of heat index is ° C. In the example shown in FIG. 2, the pulse rate when the heat index is 30 ° C. or higher is shown.

  In the first embodiment, the exercise state of the wearer terminal 1 is determined based on the exercise information obtained from the detection value of the acceleration sensor of the wearable terminal 1. The exercise state includes, for example, a behavioral state and a resting state. The exercise information obtained from the detected value of the acceleration sensor is, for example, exercise intensity, the number of steps. In the first embodiment, the time P determined to be changed from the action state to the rest state based on the exercise information is set as time P. The time P is an example of a “turning point”.

  In the first embodiment, the behavior state is determined, for example, when the exercise intensity is greater than or equal to a threshold value. The resting state is determined, for example, when the exercise intensity obtained based on the detection value of the acceleration sensor is less than the threshold and the number of steps is zero. The exercise intensity is a measure that shows the intensity of exercise according to how many times the oxygen intake at rest is 1 Met (METs). In the first embodiment, the exercise intensity is calculated by multiplying the detection value of the acceleration sensor by a predetermined coefficient. The threshold value of the exercise intensity determined as the action state is, for example, 1.5 METs.

  The active pulse rate is a statistical value of the pulse rate measured in the behavioral state. The active pulse rate is, for example, 100 bpm. The resting pulse rate is, for example, an average value of measured values of the pulse rate in a resting state. A pulse rate that is equal to or higher than the pulse rate at the time of activity is an example of a “pulse rate in a behavioral state”. The pulse rate below the resting pulse rate is an example of “the pulse rate in a resting state”.

  The time when the pulse rate more than the pulse rate during the activity from the time P that is the turning point is measured is the time T1. A time immediately after time P at which a pulse rate less than the resting pulse rate is measured is defined as time T2. A time length TD from time T1 to time T2 is assumed. The time length TD is an example of “the time length until the pulse rate in the behavioral state transitions to the pulse rate in the resting state”.

  In the example shown in FIG. 2, the time length from the acquisition time T1 of the pulse rate higher than the active pulse rate to the acquisition time T2 of the pulse rate less than the resting pulse rate is assumed to be TD1. Since the example shown in FIG. 2 is an example when the heat acclimatization is completed, the time length TD1 is the pulse rate when the action state transitions to the rest state before the heat acclimatization is completed. Becomes shorter than the time (for example, 2 minutes) in which the high state continues.

  FIG. 3 is a diagram illustrating an example of the pulse rate transition before the completion of heat acclimatization. The time length from time T1 to time T2 in the example shown in FIG. 3 is described as time length TD2. Since the example shown in FIG. 3 is an example before completion of heat acclimatization, the time length TD2 continues to have a high pulse rate when transitioning from a behavioral state to a resting state before completion of heat acclimatization. It becomes longer than time (for example, 2 minutes).

  When the time length TD1 of the example shown in FIG. 2 is compared with the time length TD2 of the example shown in FIG. 3, TD1 <TD2. Therefore, it is shown that the time length TD is shorter in the heat acclimatization completion state than in the heat acclimatization incomplete state. In the first embodiment, the completion of heat acclimation is determined when the time length TD is less than the threshold. When the time length TD is equal to or greater than the threshold, it is determined that the heat acclimatization has not been completed.

<Device configuration>
FIG. 4 is an example of an external view from one direction of the wearable terminal 1 according to the first embodiment. In the example shown in FIG. 4, the surface of the wearable terminal 1 is shown. The surface of the wearable terminal 1 is a surface that appears when the wearable terminal 1 is attached. The wearable terminal 1 includes a sensor, and detects exercise intensity, pulse rate, temperature, humidity, and the like of the user who wears the wearable terminal 1.

  The wearable terminal 1 has a wristwatch shape, for example. The wearable terminal 1 is formed of a main body 10 and a band 20. The wearable terminal 1 is worn by wrapping a band 20 around a user's arm. The surface of the main body 10 of the wearable terminal 1 includes a temperature / humidity sensor hole 10A. The temperature / humidity sensor hole 10A is a vent for the temperature / humidity sensor to come into contact with outside air.

  A state display LED (Light Emitting Diode) 108 is provided on the side surface of the main body 10 of the wearable terminal 1. The status display LED 108 emits light when an alarm is notified.

  FIG. 5 is an example of an external view of the wearable terminal 1 from another direction. In the example shown in FIG. 5, the back surface of the wearable terminal 1 is shown. The back surface of the main body 10 of the wearable terminal 1 is a surface that contacts the skin of the wearer. A pulse sensor 105 is provided on the back surface of the wearable terminal 1. By wearing the wearable terminal 1, the pulse sensor 105 comes into contact with the wearer's skin and a pulse wave is detected.

FIG. 6 is a diagram illustrating an example of a hardware configuration of the wearable terminal 1. The wearable terminal 1 shown in FIG. 6 is a dedicated electronic device. The wearable terminal 1 may be a general-purpose electronic device. The wearable terminal 1 includes, as hardware components, a processor 101, a RAM (Random Access Memory) 102, a NAND flash memory 103, a BLE (Bluetooth Low Energy) wireless communication unit 104, a pulse sensor 105, and an acceleration sensor 10.
6. A temperature / humidity sensor 107 and an LED 108 are provided.

  The RAM 102 is a volatile memory. The RAM 102 provides a work area for the processor 101.

  The NAND flash memory 103 is a nonvolatile memory. The NAND flash memory 103 stores an operating system (OS), an information transmission program, various other programs, and data used by the processor 101 when executing each program. The information transmission program is a program for transmitting the detection value of the sensor included in the wearable terminal 1 or information based on the detection value of the sensor.

  The processor 101 executes various processes by loading the OS and various application programs held in the NAND flash memory 103 into the RAM 102 and executing them. The number of processors 101 is not limited to one, and a plurality of processors 101 may be provided.

  The BLE wireless communication unit 104 is one of network interfaces. The BLE wireless communication unit 104 performs wireless processing related to BLE. The BLE wireless communication unit 104 receives data input from the processor 101, converts the data into a wireless signal via an electrical signal, and outputs a wireless signal.

  The acceleration sensor 106 detects acceleration applied to the wearable terminal 1. The acceleration sensor 106 is, for example, a triaxial acceleration sensor. The acceleration sensor 106 is one of sensors used for detecting the wearer's movement state of the wearable terminal 1. The detected acceleration (mG) is output to the processor 101, and written out to a predetermined shared storage area in the RAM 102 by the processor 101. The shared storage area in the RAM 102 is an area accessible by a plurality of processes. Hereinafter, the shared storage area in the RAM 102 is referred to as a shared memory. The acceleration sensor 106 is an example of a “motion sensor”. Acceleration, which is a detection value of the acceleration sensor 106, is an example of “information indicating a motion state”.

  The temperature / humidity sensor 107 detects temperature and humidity. The temperature / humidity sensor 107 detects temperature and humidity at a cycle of, for example, 1 to 1000 msec. The temperature / humidity sensor 107 is one of sensors used to detect a change in the surrounding environment of the wearable terminal 1. The detected temperature (° C.) and humidity (% RH) are output to the processor 101 and written to the shared memory by the processor 101. The temperature / humidity sensor 107 is an example of an “environment sensor”. The temperature and humidity, which are detection values of the temperature / humidity sensor 107, are examples of “information indicating an environmental state”. The wearable terminal 1 may include a temperature sensor and a humidity sensor instead of the temperature / humidity sensor 107.

The LED 108 emits light according to a light emission instruction from the processor 101. LED
The light emission instruction to 108 is generated, for example, when an alarm output is determined.

  Note that the hardware configuration of wearable terminal 1 shown in FIG. 6 is an example, and is not limited to the above, and components can be omitted, replaced, or added as appropriate according to the embodiment. For example, the wearable terminal 1 may include a display and a touch panel. For example, a portable recording medium driving device may be provided and a program recorded on the portable recording medium may be executed. The portable recording medium is a recording medium such as a miniSD card or a microSD card.

FIG. 7 is a diagram illustrating an example of a hardware configuration of the pulse sensor 105. The pulse sensor 105 includes an LED 105A, a light detection sensor 105B, and a control IC (Integrated Circuit) 10.
5C is provided.

  The LED 105 </ b> A irradiates light toward the wearer's living body of the wearable terminal 1. The light detection sensor 105 </ b> B receives light that reflects the living body of the wearer of the wearable terminal 1. The light detection sensor 105B measures the reflected light amount of the living body of the wearer 1 wearer at a predetermined cycle, and outputs the measured reflected light amount to the control IC 105C. Since hemoglobin present in blood flowing through an artery has a characteristic of absorbing incident light, a pulse waveform (pulse wave) can be acquired by sensing the amount of reflected light in time series. The measurement period of the reflected light amount of the light detection sensor 105B is, for example, 100 milliseconds to 500 milliseconds.

  The control IC 105C controls the start and stop of the light emission of the LED 105A and the start and stop of the light detection sensor 105B in accordance with instructions from the processor 101. The control IC 105C receives the amount of reflected light from the light detection sensor 105B and outputs it to the processor 101.

  The processor 101 receives the pulse waveform input from the pulse sensor 105, counts the peak number of the pulse waveform included in a range that goes back from the current time in a predetermined period, and obtains the pulse rate. The cycle in which the pulse rate is acquired is on the order of seconds such as 1 second, for example. The unit time for counting the pulse rate is, for example, 1 minute.

  FIG. 8 is a diagram illustrating an example of a functional configuration of the wearable terminal 1. The wearable terminal 1 includes, as functional components, a pulse sensor control unit 11, a temperature / humidity sensor control unit 12, an acceleration sensor control unit 13, a pulse rate calculation unit 14, a body thermal environment index calculation unit 15, an exercise intensity calculation unit 16, and a step count. A calculation unit 17 and a transmission unit 18 are provided. These functional components are achieved by the processor 101 of the wearable terminal 1 executing the information transmission program.

  The pulse sensor control unit 11 acquires a detection value of the pulse sensor 105 output from the pulse sensor 105 at a predetermined cycle. The detection value of the pulse sensor 105 is the amount of reflected light. Hereinafter, the detection value of the pulse sensor 105 is referred to as a pulse sensor value.

  For example, the pulse sensor value is output from the pulse sensor 105 to the processor 101, and the pulse sensor value is written to the shared memory by the processor 101. The pulse sensor control unit 11 acquires a pulse sensor value written in the shared memory during one cycle of the predetermined cycle at a predetermined cycle. The cycle in which the pulse sensor control unit 11 accesses the shared memory is, for example, 1 second. The pulse sensor control unit 11 outputs the acquired pulse sensor value to the pulse rate calculation unit 14.

  The pulse rate calculation unit 14 receives an input of a pulse sensor value from the pulse sensor control unit 11. For example, the cycle in which the pulse rate calculation unit 14 receives an input from the pulse sensor control unit 11 is the same cycle as the cycle in which the pulse sensor control unit 11 accesses the shared memory.

  The pulse rate calculation unit 14 obtains the pulse rate at a predetermined cycle, for example. Specifically, the pulse rate calculation unit 14 obtains a pulse waveform by arranging the pulse sensor values per unit time in time series from the latest pulse sensor value. The pulse rate calculation unit 14 counts the number of peaks of the obtained pulse waveform to obtain the pulse rate. The pulse rate calculation period of the pulse rate calculation unit 14 is, for example, in the order of seconds such as 1 second. The pulse rate calculation unit 14 writes the calculated pulse rate in the shared memory. When written to the shared memory, the calculated time is given to the pulse rate as a time stamp.

For example, the temperature / humidity sensor control unit 12 acquires the detection value of the temperature / humidity sensor 107 in a predetermined cycle. The detection values of the temperature / humidity sensor 107 are temperature and humidity. The temperature value that is the detection value of the temperature / humidity sensor 107 is hereinafter referred to as a temperature sensor value. The humidity value detected by the temperature / humidity sensor 107 is hereinafter referred to as a humidity sensor value. For example, the temperature sensor value and the humidity sensor value of the temperature / humidity sensor 107 are read from the shared memory. The cycle of access to the shared memory of the temperature / humidity sensor control unit 12 is, for example, on the order of seconds such as 1 second. The temperature / humidity sensor control unit 12 outputs the acquired temperature sensor value and humidity sensor value to the body thermal environment index calculation unit 15.

  The body thermal environment index calculation unit 15 acquires the temperature sensor value and the humidity sensor value from the temperature / humidity sensor control unit 12 at a predetermined cycle, and calculates the heat index. The calculation period of the heat index is on the order of seconds such as 1 second, for example. The body thermal environment index calculation unit 15 writes the acquired heat index into the shared memory. When written to the shared memory, the heat index is given a calculation time as a time stamp.

  For example, the acceleration sensor control unit 13 acquires the detection value of the acceleration sensor 106 at a predetermined cycle. The detection value of the acceleration sensor 106 is acceleration. Hereinafter, the detection value of the acceleration sensor 106 is referred to as an acceleration sensor value. For example, the acceleration sensor value of the acceleration sensor 106 is read from the shared memory. The cycle of access to the shared memory of the acceleration sensor control unit 13 is on the order of seconds such as 1 second, for example. The acceleration sensor control unit 13 outputs the acquired acceleration sensor value to the exercise intensity calculation unit 16 or the step count calculation unit 17.

  The exercise intensity calculation unit 16 calculates exercise intensity from the acceleration sensor value input from the acceleration sensor control unit 13 at a predetermined cycle. In the first embodiment, the exercise intensity is calculated by multiplying the acceleration sensor value by a predetermined coefficient. The exercise intensity calculation period is, for example, in the order of seconds such as 1 second. The exercise intensity calculation unit 16 writes the acquired exercise intensity in the shared memory. When written to the shared memory, the exercise time is given a calculation time as a time stamp.

  The step count calculation unit 17 calculates the number of steps from the acceleration sensor value input from the acceleration sensor control unit 13 at a predetermined cycle. Specifically, an acceleration sensor value corresponding to one cycle of access to the shared memory of the acceleration sensor control unit 13 is input from the acceleration sensor control unit 13 to the step count calculation unit 17. The step count calculation unit 17 integrates the acceleration sensor value, and detects a step and counts up the step count when the value obtained by the integration is equal to or greater than a predetermined threshold. When the step count calculation unit 17 updates the step count, the step count calculation unit 17 writes the updated step count in the shared memory. When writing to the shared memory, the update time is given to the number of steps as a time stamp.

  The transmission unit 18 reads the latest pulse rate, heat index, exercise intensity, and number of steps from the shared memory at a predetermined cycle. The access cycle of the transmission unit 18 to the shared memory is, for example, in the order of seconds such as 1 second. The transmission unit 18 transmits the pulse rate, the heat index, the exercise intensity, the number of steps, and the respective time stamps read from the shared memory to the mobile terminal 2 through the BLE wireless communication unit 104, for example. Thereafter, the pulse rate, heat index, exercise intensity, and number of steps are transmitted from the mobile terminal 2 to the server 3.

FIG. 9 is a diagram illustrating an example of a hardware configuration of the server 3. The server 3 is a dedicated computer, for example. The server 3 includes a CPU (Central Processing Unit) 301, a main storage device 302, an input device 303, an output device 304, an auxiliary storage device 305, and a network interface 307. These are connected to each other by a bus 309.

  The input device 303 is, for example, a keyboard, a mouse, operation buttons, a touch panel, a keypad, and the like. The output device 304 is, for example, a display, a printer, or the like.

The auxiliary storage device 305 stores the OS, various programs, and data used by the CPU 301 when executing each program. The auxiliary storage device 305 is, for example, an EPROM (Erasable Programmable ROM), a flash memory, or a hard disk drive (Hard
Non-volatile memory such as Disk Drive). The auxiliary storage device 305 stores, for example, an alarm output determination program 305P. The alarm output determination program 305P is a program for outputting an alarm when the environment is in a state where a load is applied to the body.

  The main storage device 302 is a storage device that provides the CPU 301 with a storage area and a work area for loading a program stored in the auxiliary storage device 305, and is used as a buffer. The main storage device 302 includes, for example, a semiconductor memory such as a ROM (Read Only Memory) and a RAM.

  The CPU 301 executes various processes by loading the OS and various application programs held in the auxiliary storage device 305 into the main storage device 302 and executing them. The number of CPUs 301 is not limited to one, and a plurality of CPUs 301 may be provided. In the first embodiment, the CPU 301 is an example of a “determination unit”.

  The network interface 307 is an interface for inputting / outputting information to / from the network. The network interface 307 is an interface corresponding to a wireless LAN, for example. However, the network connected to the network interface 307 is not limited to a wireless LAN, and may be a carrier 3G, LTE, or LTE-advanced network. The network interface 307 may be an interface connected to a wired network. In the first embodiment, the network interface is an example of an “acquisition unit”.

  Note that the hardware configuration of the server 3 illustrated in FIG. 9 is an example, and is not limited to the above, and components may be omitted, replaced, or added as appropriate according to the embodiment. For example, the server 3 may include a portable recording medium driving device and execute a program recorded on the portable recording medium. The portable recording medium is, for example, an SD card, a miniSD card, a microSD card, a USB (Universal Serial Bus) flash memory, a CD (Compact Disc), a DVD (Digital Versatile Disc), a Blu-ray (registered trademark) Disc, or a flash. A recording medium such as a memory card.

  FIG. 10 is a diagram illustrating an example of a functional configuration of the server 3. The server 3 includes a reception unit 31, a determination unit 32, an alarm output determination unit 33, and an alarm output unit 34 as functional components. These functional components are achieved by the CPU 301 of the server 3 executing the alarm output determination program 305P stored in the auxiliary storage device 305.

  The receiving unit 31 receives from the mobile terminal 2 the pulse rate, heat index, exercise intensity, and number of steps acquired by the wearable terminal 1. The receiving unit 31 outputs the received pulse rate, heat index, exercise intensity, and number of steps to the determination unit 32. In addition, the receiving unit 31 outputs the heat index and the pulse rate to the alarm output determination unit 33.

  The determination unit 32 receives the pulse rate, heat index, exercise intensity, and number of steps from the reception unit 31 and determines the degree of heat acclimatization of the wearable terminal 1 wearer. In the first embodiment, the determination unit 32 determines whether or not the heat acclimatization is completed. Details of the processing of the determination unit 32 will be described later. The determination unit 32 outputs a determination result of the degree of heat acclimatization to the alarm output determination unit 33.

The alarm output determination unit 33 receives the input of the heat index and the pulse rate from the reception unit 31 and the determination result of the degree of heat acclimatization from the determination unit 32. The alarm output determination unit 33 calculates the physical load factor from the pulse rate, corrects the physical load factor according to the determination result of the degree of heat acclimatization, and determines whether the alarm output is necessary based on the corrected physical load factor. I do. If it is determined that the alarm output is required, the alarm output determination unit 33 outputs an alarm output instruction to the alarm output unit 34. Details of the processing of the alarm output determination unit 33 will be described later.

  When the alarm output unit 34 receives an alarm output instruction from the alarm output determination unit 33, the alarm output unit 34 outputs an alarm. For example, the alarm may be transmitted to the portable terminal 2 to notify the wearer of the wearable terminal 1, or the user name of the wearer of the wearable terminal 1 may be displayed on the display of the server 3.

<Process flow>
11A, 11B, and 11C are an example of a flowchart of the heat acclimatization determination process of the determination unit 32 of the server 3. FIG. The process shown in FIGS. 11A to 11C is executed each time the server 3 receives the pulse rate, heat index, exercise intensity, step count, etc. of the wearer 1 wearing the wearable terminal 1 from the portable terminal 2. Hereinafter, when referred to as target data, the pulse rate is indicated. 11A to 11C is the CPU 301 of the server 3, but for the sake of convenience, the function configuration determination unit 32 will be mainly described.

  In OP <b> 1, the determination unit 32 receives the pulse rate, exercise intensity, number of steps, and heat index of the wearer terminal 1 wearer from the reception unit 31.

  In OP2, the determination unit 32 determines whether or not the heat index is greater than or equal to a threshold value. The threshold value of the heat index is 30 ° C., for example. If the heat index is greater than or equal to the threshold (OP2: YES), the process proceeds to OP3. If the heat index is less than the threshold (OP2: NO), the process proceeds to OP8.

  In OP8, the determination unit 32 sets the conversion flag to 0. Thereafter, the process illustrated in FIG. 11A ends. The conversion flag is a flag indicating that an event has occurred in which the exercise state changes from the “behavior state” to the “rest state”. For example, when the conversion flag is 1, it indicates that an event has occurred in which the exercise state changes from “behavior state” to “rest state”. The conversion flag is 0 in the initial state.

  In OP3, the determination unit 32 determines whether or not the input exercise intensity is less than a threshold value. The threshold value for exercise intensity is, for example, 1.5 METs. If the input exercise intensity is less than the threshold (OP3: YES), the process proceeds to OP4. If the input exercise intensity is greater than or equal to the threshold (OP3: NO), the process proceeds to OP6.

  In OP4, the determination unit 32 obtains the amount of change between the input number of steps and the previous number of steps, and determines whether or not the amount of change in the number of steps is zero. When the input change amount of the number of steps is 0 (OP4: YES), the process proceeds to OP5. When the input change amount of the step count is not 0 (OP4: NO), the process proceeds to OP6.

  In OP5, the determination unit 32 determines that the exercise state is the “rest state” because the exercise intensity is less than the threshold value and the amount of change in the number of steps is 0. In OP6, the determination unit 32 determines the exercise state as the “behavioral state” because the exercise intensity is equal to or greater than the threshold value or the amount of change in the number of steps is not zero.

  In OP7, the determination unit 32 records data such as the number of steps input in OP1, a time stamp, and an exercise state in a predetermined storage area in the main storage device 302.

In OP11 of FIG. 11B, the determination unit 32 determines whether or not the conversion flag is 1. For example, when the conversion flag is 1, it indicates that an event has occurred in which the exercise state changes from “behavior state” to “rest state”. If the conversion flag is 1 (OP11: YES), the process proceeds to OP21 in FIG. 11C. If the conversion flag is 0 (OP
11: NO), the process proceeds to OP12.

  In OP12, the determination unit 32 determines whether or not the exercise state has changed from the “behavior state” to the “rest state”. Specifically, the determination unit 32 determines whether or not the exercise state at the acquisition time of the target data is “rest state” and the exercise state at the acquisition time of the immediately preceding data is “action state”. . If the exercise state has changed from the “behavior state” to the “rest state” (OP12: YES), the process proceeds to OP13. If the exercise state has not changed from the “behavior state” to the “rest state” (OP12: NO), the process proceeds to OP15.

  In OP13, the determination unit 32 sets 1 to the conversion flag. Moreover, the determination part 32 sets the acquisition time of object data to a turning point. The acquisition time of the target data is given to the target data as a time stamp.

  In OP14, the determination unit 32 searches for the latest time T1 from which the pulse rate exceeds the active pulse rate, going back from the turning point. The active pulse rate is an example of a “first threshold”.

  The process of OP15 is a process when the exercise state has not changed from the “behavior state” to the “rest state”. In OP15, the determination unit 32 determines whether or not the exercise state at the acquisition time of the target data is the “rest state”. If the exercise state at the acquisition time of the target data is “rest state” (OP15: YES), the process proceeds to OP16. When the exercise state at the acquisition time of the target data is the “behavior state” (OP15: NO), the process illustrated in FIG. 11B ends.

  In OP16, the determination unit 32 updates the resting pulse rate. In the first embodiment, the resting pulse rate is an average value of the pulse rate when the exercise state is “resting state”. Thereafter, the processing illustrated in FIG. 11B is finished, and processing is performed on the next data.

  The process shown in FIG. 11C is a process when the conversion flag is 1. In OP21, the determination unit 32 determines whether or not the exercise state at the acquisition time of the target data is the “rest state”. If the exercise state at the acquisition time of the target data is “rest state” (OP21: YES), the process proceeds to OP23. If the exercise state at the acquisition time of the target data is “exercise state” (OP21: NO), the process proceeds to OP22.

  In OP22, the exercise state transitions from the “behavior state” to the “rest state”, and further, the exercise state transitions to the “behavior state” before the pulse rate falls below the resting pulse rate pulse. Set the flag to 0. Thereafter, the process illustrated in FIG. 11C ends, and the process is performed on the next data.

  In OP23, the determination unit 32 determines whether or not the pulse rate of the target data is less than the resting pulse rate. If the pulse rate of the target data is less than the resting pulse rate (OP23: YES), the process proceeds to OP24. If the pulse rate of the target data is equal to or greater than the pulse rate at rest (OP23: NO), the process proceeds to OP16 in FIG. 11B. The resting pulse rate is an example of a “second threshold”.

  In OP24, the determination unit 32 sets the acquisition time of the target data to time T2. In OP25, the determination unit 32 obtains a time length TD from time T1 to time T2.

In OP26, the determination unit 32 determines whether the time length TD is less than the pulse rate stabilization time. The pulse rate stabilization time is a threshold value for determining the completion state of heat acclimation in the time required for transition from the pulse rate in the behavioral state to the pulse rate in the resting state. If the time length TD is less than the pulse rate stabilization time (OP26: YES), the process proceeds to OP27. If the time length TD is equal to or longer than the pulse rate stabilization time (OP26: NO), the process proceeds to OP28.

  In OP27, the determination unit 32 determines completion of heat acclimatization. In OP28, the determination unit 32 determines that heat acclimatization has not been completed.

  In OP29, the determination unit 32 sets the conversion flag to 0. Thereafter, the process proceeds to OP16 in FIG. 11B.

  Although the case where the process shown by FIG. 11A-FIG. 11C is performed whenever data, such as the number of steps, is received from the wearable terminal 1 through the portable terminal 2 was demonstrated, it is not limited to this. For example, the processes illustrated in FIGS. 11A to 11C may be sequentially performed on data accumulated for a predetermined time.

  FIG. 12 is an example of a flowchart of the alarm determination process of the alarm output determination unit 33 of the server 3. The process shown in FIG. 12 is executed at a predetermined cycle. The execution cycle of the alarm determination process shown in FIG. 12 is, for example, the same as the transmission cycle in which the wearable terminal 1 transmits the pulse rate and the like, and is in the order of seconds such as 1 second. The execution subject of the processing shown in FIG. 12 is the CPU 301 of the server 3, but for convenience, the alarm output determination unit 33, which is a functional component, will be described as a subject.

  In OP31, the alarm output determination unit 33 receives an input of the pulse rate and heat index of the wearer of the wearable terminal 1 from the reception unit 31.

  In OP32, the alarm output determination unit 33 determines whether the heat index is greater than or equal to a threshold value. The threshold value of the heat index is 30 ° C., for example. If the heat index is greater than or equal to the threshold (OP32: YES), the process proceeds to OP33. When the heat index is less than the threshold value (OP32: NO), the process shown in FIG. 12 ends.

  In OP33, the alarm output determination unit 33 calculates a body load factor. The body load factor is calculated using, for example, a pulse rate and a carbonnen equation. The Carbonen formula is, for example, (heart rate−resting heart rate) ÷ (maximum heart rate−resting heart rate) × 100.

  In OP34, the alarm output determination unit 33 determines whether or not the wearer of the wearable terminal 1 is in a heat acclimatization completion state. This determination is performed based on the determination result of the determination unit 32. When the wearer 1 wearer is in the heat acclimatization completion state (OP34: YES), the process proceeds to OP36. When the wearer terminal wearer is in the heat acclimatization incomplete state (OP34: NO), the process proceeds to OP35.

  In OP35, the alarm output determination unit 33 adds 15% to the body load factor calculated in OP31. In an environment where the heat index is greater than or equal to a threshold value, when the wearer of the wearable terminal 1 is in a state where heat acclimatization has not been completed, the load on the body tends to be greater than the state where heat acclimatization is complete. Therefore, by correcting the body load factor when the heat acclimatization is incomplete, the load on the wearer's body of the wearable terminal 1 can be brought close to a value corresponding to the state of the wearer.

In OP36, the alarm output determination unit 33 determines whether the body load factor is 70% or more. When the body load factor is 70% or more (OP36: YES), the process proceeds to OP37. When the body load factor is less than 70% (OP36: NO), the process proceeds to OP38.

  In OP37, the alarm output determination unit 33 determines to notify the alarm, and outputs an alarm output instruction to the alarm output unit 34. Thereafter, the process shown in FIG. 12 ends.

  In OP38, the alarm output determination unit 33 determines not to notify an alarm. Thereafter, the process shown in FIG. 12 ends.

  In the example shown in FIG. 12, when the heat acclimatization is not completed, the body load factor is added by 15%. However, when the heat acclimatization is not completed, the correction of the body load factor is 15%. It is not limited to adding%. For example, the amount added to the body load factor may be adjusted depending on temperature, humidity, or the like.

<Operational effects of the first embodiment>
In the first embodiment, when transitioning from a behavioral state to a resting state, the degree of heat acclimatization is determined based on the time length TD from the pulse rate in the behavioral state to the pulse rate in the resting state. The user only needs to wear the wearable terminal 1 including at least the pulse sensor 105 and the acceleration sensor 106. Moreover, the time length until it changes from the pulse rate in the action state when the heat acclimatization is completed to the pulse rate in the resting state is about 2 minutes. The degree of heat acclimatization of the wearer terminal 1 can be determined in a few minutes. Therefore, according to the first embodiment, the degree of heat acclimatization can be easily estimated.

  In 1st Embodiment, completion of heat acclimatization is determined when the time length TD until it changes to the pulse rate in a resting state from the pulse rate in an action state is less than a threshold value. Therefore, in the first embodiment, completion of heat acclimatization can be determined by a simple process of comparison with a threshold value.

  In the first embodiment, it is determined using the exercise intensity and the number of steps acquired from the detection value of the acceleration sensor 106 provided in the wearable terminal 1 that the exercise state of the wearable terminal 1 has transitioned from the action state to the rest state. . Thereby, the exercise state of the wearer of the wearable terminal 1 can be estimated more accurately, and the time length TD from the pulse rate in the behavioral state to the pulse rate in the resting state can be more accurately acquired. . As a result, the system for determining the degree of acclimatization of heat can be improved.

  In 1st Embodiment, the acquisition time of the pulse rate exceeding the pulse rate at the time of the activity just before the conversion point which changes from a behavioral state to a resting state is set to time T1, and the pulse rate below the resting pulse rate immediately after the conversion point Let the acquisition time be time T2. The time length TD is obtained as a time difference between time T1 and time T2. Thereby, the time length TD until it changes from the pulse rate in a behavioral state to the pulse rate in a resting state can be calculated | required more correctly.

  In the first embodiment, the result of the heat acclimatization determination process is used to determine whether an alarm output is necessary based on the body load factor. More specifically, the body load factor, which is an element for determining whether or not to output an alarm, is increased by a predetermined amount when heat acclimatization is not completed. As a result, the degree of acclimatization of heat is reflected in the determination of whether or not an alarm is output, so that an alarm can be output according to the state of the wearer of the wearable terminal 1.

<Modification of First Embodiment>
In the first embodiment, the determination unit 32 of the server 3 determines whether the heat acclimatization is completed or not completed. In the modification, the determination unit 32 of the server 3 performs the heat acclimatization level determination.

  In the modification, the system configuration, the hardware and functional configuration of the wearable terminal 1, and the hardware and functional configuration of the server 3 are the same as those in the first embodiment.

  In the modification, the determination unit 32 of the server 3 determines the level of heat acclimatization based on a value obtained by dividing the difference between the pulse rate at time T1 and the pulse rate at time T2 by the time length TD. For example, the alarm output determination unit 33 increases or decreases the amount added to the body load factor according to the level of heat acclimatization.

  13A and 13B are an example of a flowchart of the heat acclimatization determination process of the determination unit 32 of the server 3 according to the modification. In the heat acclimatization determination process of the determination unit 32 according to the modification, the processes of FIGS. 11A and 11B are common to the first embodiment. The process illustrated in FIG. 13A is a process that continues after it is determined that the conversion flag is 1 in OP11 of FIG. 11B.

  The processing from OP41 to OP45 is the same as the processing from OP21 to OP25 in FIG. 11C. That is, when the exercise state at the acquisition time of the target data is “rest state” (OP41: YES) and the pulse rate of the target data is less than the pulse rate at rest (OP43: YES), the acquisition time of the target data Is time T2 (OP44), and the time length TD is obtained (OP45). When the exercise state at the acquisition time of the target data is “exercise state” (OP41: NO), the conversion flag is set to 0 (OP42), and the process shown in FIG.

  In OP46, the determination unit 32 obtains a differential pulse rate PD between the pulse rate P1 at time T1 and the pulse rate P2 at time T2. In OP47, the determination unit 32 calculates a value obtained by dividing the differential pulse rate PD by the time length TD as the gradient G.

  In OP48 of FIG. 13B, the determination unit 32 determines whether or not the gradient G is equal to or greater than the threshold value 1. If the slope G is greater than or equal to the threshold value 1 (OP48: YES), the process proceeds to OP50. If the slope G is less than the threshold value 1 (OP48: NO), the process proceeds to OP49. In OP49, the determination unit 32 determines that the heat acclimatization level is level 1. Thereafter, the process proceeds to OP53.

  In OP50, the determination unit 32 determines whether or not the gradient G is equal to or greater than the threshold value 2. It is threshold value 2> threshold value 1. If the slope G is greater than or equal to the threshold 2 (OP50: YES), the process proceeds to OP52. If the slope G is less than the threshold 2 (OP50: NO), the process proceeds to OP51. In OP51, the determination unit 32 determines that the heat acclimatization level is level 2. The level of heat acclimation is high at level 1 <level 2. Thereafter, the process proceeds to OP53.

  In OP52, the determination unit 32 determines that the heat acclimatization level is level 3. The level of heat acclimation is high at level 1 <level 2 <level 3. Level 3 indicates, for example, completion of heat acclimatization. Thereafter, the process illustrated in FIG. 13B ends.

  In the modification, the level of heat acclimatization is determined according to the value obtained by dividing the difference pulse rate PD between the pulse rate P1 in the behavioral state and the pulse rate P2 in the resting state by the time length TD. Thereby, the degree of heat acclimatization can be estimated more finely. By using the value obtained by dividing the difference pulse rate PD between the pulse rate P1 in the behavioral state and the pulse rate P2 in the resting state by the time length TD, individual differences in the time length TD and the pulse rate can be absorbed. The accuracy of the level determination can be improved.

  In the modified example, a value obtained by dividing the difference pulse rate PD between the pulse rate P1 in the behavioral state and the pulse rate P2 in the resting state by the time length TD is used to determine the level of heat acclimation. The element for determining the level of conversion is not limited to this. For example, temperature or humidity may be used in addition to the value obtained by dividing the difference pulse rate PD between the pulse rate P1 in the behavioral state and the pulse rate P2 in the resting state by the time length TD.

  In the first embodiment, whether or not heat acclimatization is completed is determined based on the time length TD, but the difference pulse rate PD between the pulse rate P1 in the behavioral state and the pulse rate P2 in the resting state is calculated as the time. Completion or non-completion of heat acclimatization may be determined based on a value divided by the length TD.

  In the first embodiment and the modification, the threshold value used in the heat acclimation determination process is a fixed value, but the threshold value may be a variable value. The threshold value used in the heat acclimatization determination process may be set based on, for example, the gender, age, height, weight, etc. of the wearer of the wearable terminal 1. Alternatively, the threshold used in the heat acclimation determination process may be adjusted based on, for example, temperature or humidity.

Second Embodiment
In the first embodiment, the detection value of the sensor provided in the wearable terminal 1 is transmitted to the server 3, and the server 3 determines whether to acclimatize the heat. In the second embodiment, the wearable terminal 1 itself determines whether to adapt to heat. In the second embodiment, the description common to the first embodiment is omitted.

  The hardware configuration of the wearable terminal 1 according to the second embodiment is the same as that of the first embodiment. In the second embodiment, a heat acclimatization determination program is stored in the NAND flash memory 103. The heat acclimatization determination program is a program for the wearable terminal 1 to determine the degree of heat acclimatization of the wearer. In the second embodiment, the wearable terminal 1 is an example of an “electronic device”. In the second embodiment, the pulse sensor 105 is an example of an “acquisition unit”. In the second embodiment, the processor 101 of the wearable terminal 1 is an example of a “determination unit”.

  FIG. 14 is a diagram illustrating an example of a functional configuration of the wearable terminal 1 according to the second embodiment. In the second embodiment, the wearable terminal 1 includes, as functional components, a pulse sensor control unit 11, a temperature / humidity sensor control unit 12, an acceleration sensor control unit 13, a pulse rate calculation unit 14, a body thermal environment index calculation unit 15, an exercise An intensity calculation unit 16, a step count calculation unit 17, and a determination unit 19 are provided. These functional components of the wearable terminal 1 are achieved by the processor 101 of the wearable terminal 1 executing a heat acclimatization determination program in the NAND flash memory 103.

  The processing of the pulse sensor control unit 11, the temperature / humidity sensor control unit 12, the acceleration sensor control unit 13, the pulse rate calculation unit 14, the body thermal environment index calculation unit 15, the exercise intensity calculation unit 16, and the step count calculation unit 17 is a first implementation. It is the same as the form.

  The determination unit 19 performs substantially the same process as the determination unit 32 of the server 3 according to the first embodiment. Specifically, the determination unit 19 reads out the pulse rate, the heat index, the exercise intensity, and the number of steps from the shared memory at a predetermined cycle, and performs, for example, the processes illustrated in FIGS. 11A to 11C. The access cycle of the determination unit 19 to the shared memory is set, for example, on the order of seconds such as 1 second.

  The determination result of completion or non-completion of heat acclimatization by the determination unit 19 may be transmitted to the server 3 through the mobile terminal 2, or may be output to the display when the wearable terminal 1 includes a display.

  According to the second embodiment, the wearable terminal 1 itself performs the heat determination process, so the heat determination process can be executed even in an environment where communication with the server 3 is not possible.

  In the second embodiment, the wearable terminal 1 performs the heat determination process. However, the present invention is not limited to this, and the wearable terminal 1 performs the process of the alarm output determination unit 33 of the server 3 according to the first embodiment to generate an alarm. May be output.

<Processor>
The CPU is also called an MPU (Microprocessor) or processor. The CPU is not limited to a single processor, and may have a multiprocessor configuration. A single CPU connected by a single socket may have a multi-core configuration. At least a part of the processing of each unit may be performed by a processor other than the CPU, for example, a dedicated processor such as a digital signal processor (DSP), a graphics processing unit (GPU), a numerical operation processor, a vector processor, or an image processing processor. good. In addition, at least a part of the processing of each unit may be an integrated circuit (IC) or other digital circuit. In addition, an analog circuit may be included in at least a part of each of the above parts. Integrated circuits are LSI, Application Specific Integrated Circuit (ASIC), Programmable Logic Device (PLD)
including. The PLD includes, for example, a field-programmable gate array (FPGA). Each of the above units may be a combination of a processor and an integrated circuit. The combination is called, for example, a microcontroller (MCU), a SoC (System-on-a-chip), a system LSI, a chip set, or the like.

<Recording medium>
A program for causing a computer or other machine or device (hereinafter, a computer or the like) to realize any of the above functions can be recorded on a recording medium that can be read by the computer or the like. The function can be provided by causing a computer or the like to read and execute the program of the recording medium.

Here, a computer-readable recording medium is a non-temporary recording medium in which information such as data and programs is accumulated by electrical, magnetic, optical, mechanical, or chemical action and can be read from a computer or the like. A typical recording medium. Examples of such a recording medium that can be removed from a computer or the like include a flexible disk, a magneto-optical disk, a CD-ROM, a CD-R / W, a DVD, a Blu-ray disk, a DAT, an 8 mm tape, a flash memory, and the like. There are cards. In addition, as a recording medium fixed to a computer or the like, there are a hard disk, a ROM (read only memory), and the like. Further, an SSD (Solid State Drive) can be used as a recording medium removable from a computer or the like, or as a recording medium fixed to the computer or the like.

DESCRIPTION OF SYMBOLS 1 Wearable terminal 2 Portable terminal 3 Server 11 Pulse sensor control part 12 Temperature / humidity sensor control part 13 Acceleration sensor control part 14 Pulse rate calculation part 15 Body thermal environment index calculation part 16 Exercise intensity calculation part 17 Step count calculation part 18 Transmission part 19, 32 Determination Unit 31 Reception Unit 33 Alarm Output Determination Unit 34 Alarm Output Unit 101 Processor 102 RAM
103 NAND flash memory 104 BLE wireless communication unit 105 Pulse sensor 106 Acceleration sensor 107 Temperature / humidity sensor 108 LED
301 CPU
302 Main storage device 305 Auxiliary storage device 307 Network interface

Claims (7)

An acquisition unit for acquiring a pulse rate;
A time length from the pulse rate in the behavioral state to the transition to the pulse rate in the resting state, and a determination unit that determines the degree of heat acclimation based on the time length;
Electronic equipment comprising. The determination unit determines that heat acclimatization is not completed when the time length is equal to or greater than a predetermined threshold, and determines completion of heat acclimatization when the time length is less than the predetermined threshold.
The electronic device according to claim 1. The determination unit determines the degree of heat acclimatization based on a value obtained by dividing the difference between the pulse rate in the behavioral state and the pulse rate in the resting state by the time length.
The electronic device according to claim 1. The acquisition unit further acquires a detection value of a motion sensor that detects information indicating a motion state,
The determination unit determines a behavioral state or a resting state based on a detection value of the motion sensor.
The electronic device as described in any one of Claim 1 to 3. The determination unit is configured such that the first immediately after the turning point is obtained from a time when a pulse rate that is equal to or more than a first threshold immediately before the turning point from the action state to the resting state based on the detection value of the motion sensor is acquired. The time length until the time when the pulse rate that is less than the second threshold value is less than the second threshold value is set as the time length until the pulse rate in the behavior state transitions to the pulse rate in the resting state,
The electronic device according to claim 4. The acquisition unit further acquires a detection value of an environmental sensor that acquires information indicating an environmental state,
The determination unit determines whether it is necessary to output an alarm based on the degree of acclimatization of the heat and the detection value of the environmental sensor.
The electronic device according to claim 1. Electronic equipment,
Get the pulse rate,
Calculate the time length from the pulse rate in the behavioral state to the transition to the pulse rate in the resting state, and based on the time length, determine the degree of heat acclimatization,
A heat acclimatization judgment program.

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