JP7207664B2 - Exercise performance evaluation device, air treatment device, and exercise performance evaluation method - Google Patents

Description

The present disclosure relates to an exercise performance evaluation device, an air treatment device, and an exercise performance evaluation method.

The risk determination device described in Patent Document 1 includes a measurement unit that measures a physiological index related to peripheral blood flow of a subject, acquires the magnitude of fluctuation of the physiological index (fluctuation of blood flow), and measures the magnitude of the fluctuation. and an analysis unit for determining the risk of abnormalities in the thermoregulatory function.

Japanese Patent Application Laid-Open No. 2011-212306

However, there is a demand for exercising in a state in which exercise performance is enhanced as much as possible. The risk determination device described in Patent Document 1 determines that there is a risk of abnormality in the body temperature control function when the fluctuation of the blood flow becomes below a certain level, but the relationship between the body temperature control function and exercise performance is No reference and unable to assess exercise performance.

An object of the present disclosure is to evaluate a subject's exercise performance using an index related to the subject's thermoregulatory function.

A first aspect of the present disclosure is directed to a method of evaluating athletic performance. A method for evaluating exercise performance includes an acquisition step of acquiring a degree of fatigue of the subject's body temperature regulation function that indicates the degree of fatigue of the subject's body temperature regulation function; and an evaluation step of evaluating performance.

In a first aspect, a subject's exercise performance can be evaluated using an index relating to the subject's thermoregulatory function.

A second aspect of the present disclosure according to the first aspect is characterized in that, in the evaluation step, an exercise performance index indicating the exercise performance of the subject is output by evaluating the exercise performance of the subject. and

In a second aspect, the exercise performance of the subject can be confirmed by the exercise performance index.

A third aspect of the present disclosure is the first aspect or the second aspect, wherein the obtaining step includes obtaining an autonomic nerve index of the subject and obtaining a perspiration index of the subject. characterized by comprising

In the third aspect, the subject's exercise performance can be evaluated using the subject's autonomic nerve index and perspiration index.

A fourth aspect of the present disclosure is characterized in that, in the third aspect, the autonomic nerve index includes a heart rate variability index, and the perspiration index includes skin conductance or perspiration amount.

In a fourth aspect, the subject's exercise performance can be evaluated using the subject's heart rate variability index and skin conductance or perspiration amount.

A fifth aspect of the present disclosure is any one of the first aspect to the fourth aspect, wherein in the evaluating step, the exercise performance indicating the exercise performance for each different degree of fatigue of the thermoregulatory function The exercise performance of the subject is evaluated by further using correspondence information (Y) in which indices are associated with each other.

In a fifth aspect, the exercise performance of the subject can be evaluated using the correspondence information (Y).

A sixth aspect of the present disclosure is characterized in that, in the fifth aspect, the correspondence information (Y1) includes information (Y-1, Y-2) set in a plurality of types according to the type of exercise. .

In the sixth aspect, the exercise performance of the subject can be effectively evaluated in accordance with the exercise performed by the subject.

A seventh aspect is characterized in that, in the fifth aspect, a plurality of types of correspondence information (Y2) are set according to risks during exercise related to the body temperature regulation function.

In the seventh aspect, the exercise performance of the subject can be effectively evaluated as the risk during exercise related to body temperature regulation of the subject.

An eighth aspect of the present disclosure is characterized in that, in any one of the first to seventh aspects, it further includes the step of notifying information regarding an evaluation result of the subject's exercise performance.

In the eighth aspect, the subject can check his exercise performance.

A ninth aspect of the present disclosure is, in any one of the first to eighth aspects, based on the evaluation result in the evaluation step, the temperature, humidity, and And/or at least one of the step of controlling the airflow by the air processing device (400), or the step of controlling the temperature, humidity, and/or airflow of the furniture or clothing that the subject contacts. It is characterized by further comprising:

In the ninth aspect, the operation of the air treatment device can be controlled in consideration of the exercise performance evaluation result of the subject.

A tenth aspect of the present disclosure is directed to an exercise performance evaluation device. The exercise performance evaluation device includes an acquisition unit (310) that acquires the degree of fatigue of the body temperature regulation function indicating the degree of fatigue of the body temperature regulation function of the subject, and based on the degree of fatigue of the body temperature regulation function of the subject, and an evaluation unit (350) for evaluating a person's exercise performance.

In the tenth aspect, a subject's exercise performance can be evaluated using an index related to the subject's thermoregulatory function.

An eleventh aspect of the present disclosure is directed to an air treatment device. The air treatment device is characterized by comprising an exercise performance evaluation device (300).

In the eleventh aspect, the operation of the air treatment device can be controlled in consideration of the exercise performance evaluation result of the subject.

FIG. 1 is a block diagram showing the configuration of an exercise performance evaluation system according to the first embodiment of the present invention. FIG. 2 shows a graph displayed in a coordinate system in which the vertical axis is the heart rate variability index and the horizontal axis is time. FIG. 3 shows a graph displayed in a coordinate system with skin conductance on the vertical axis and time on the horizontal axis. FIG. 4 is a diagram showing classification information. FIG. 5 is a diagram showing a correlation model between the degree of fatigue in body temperature regulation function and exercise performance. FIG. 6 is a diagram showing first correspondence information. FIG. 7 is a flow chart showing an example of processing contents of the evaluation unit. FIG. 8 is a diagram showing the second correspondence information. FIG. 9 is a block diagram showing the configuration of an exercise performance evaluation system according to the third embodiment of the present invention.

An embodiment of the present invention will be described with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals, and detailed description and description of the accompanying effects will not be repeated.

-First embodiment-
An exercise performance evaluation system (10) according to a first embodiment of the present invention will be described with reference to FIG. FIG. 1 is a block diagram showing the configuration of an exercise performance evaluation system (10) according to the first embodiment of the present invention. Hereinafter, the exercise performance evaluation system (10) may be referred to as an evaluation system (10).

-overall structure-
As shown in FIG. 1, the evaluation system (10) comprises a sensor (100) and an exercise performance evaluation device (300). Hereinafter, the exercise performance evaluation device (300) may be referred to as the evaluation device (300). Exercise performance indicates the degree to which a person is able to exert his or her ability in performing exercise.

A sensor (100) is worn by a subject and acquires a temperature regulation fatigue index indicating the degree of fatigue of the subject's body temperature regulation. The body temperature regulation function indicates the function of maintaining body temperature by appropriately performing heat dissipation (perspiration, etc.), heat production (body shivering, etc.), etc. in response to heat stress. Heat stress refers to the load that a person receives from a thermal environment (eg, hot and cold stimuli that prevent the maintenance of body temperature). The degree of fatigue in the thermoregulatory function is measured by body temperature, such as sweating, shivering, and dilating or constricting blood vessels, in response to instructions related to the thermoregulatory function from the center to the extremities via the autonomic nerves. It is defined by the degree to which the frequency of adjustment operations is reduced.

In the first embodiment, the fatigue index of the thermoregulatory function, which indicates the degree of fatigue of the subject's thermoregulatory function, is composed of the heart rate variability index (LF/HF) and the skin conductance (SC).

The sensor (100) includes a first sensor (110) and a second sensor (120).

A first sensor (110) is worn by a subject and measures a physical quantity indicating an activity state of a control system involving the autonomic nervous system of the subject. In the first embodiment, the first sensor (110) measures the subject's heart rate, which is an example of the physical quantity. The first sensor (110) includes, for example, an electrocardiographic sensor.

A second sensor (120) is worn by the subject and measures a perspiration index of the subject. A perspiration index indicates a physical quantity that changes due to perspiration on the skin surface. Perspiration indices include skin potential (SPA), electrodermal activity (EDA) such as skin conductance (SC), and the amount of perspiration. In the first embodiment, skin conductance (SC) is used as a perspiration index. In this case, the second sensor (120) comprises a skin conductance measuring device to measure the subject's skin conductance (SC). Note that the amount of perspiration may be employed as the index of perspiration. In this case, the second sensor (120) includes a perspiration measurement device, such as a perspiration meter, to measure the subject's perspiration.

The evaluation device (300) includes, for example, terminals such as smartphones and PCs (Personal Computers). The evaluation device (300) outputs an exercise performance index indicating the subject's exercise performance by evaluating the subject's exercise performance using the subject's thermoregulatory fatigue index.

The evaluation device (300) includes an acquisition section (310), an input section (320), a notification section (330), a storage section (340), and an evaluation section (350).

The acquisition unit (310) includes a device for communicating with the sensor (100). The acquisition unit (310) is communicably connected to the sensor (100) by wire or wirelessly. The acquisition unit (310) includes, for example, a device (wireless LAN module, etc.) for performing wireless communication (Bluetooth (registered trademark), Wi-Fi (registered trademark) (Wireless Fidelity), etc.) and a device (wireless LAN module, etc.) for performing wired communication. device (such as a communication port to which a communication cable is connected).

In the first embodiment, the acquisition section (310) includes a first acquisition section (311) and a second acquisition section (312).

The first acquisition unit (311) includes a device for communicating with the first sensor (110). A first acquisition unit (311) acquires information indicating the heart rate measured by the first sensor (110).

The acquisition unit (310) further includes a processor. The processor of the acquisition unit (310) calculates an autonomic nerve index based on the measurement result of the first acquisition unit (311). The autonomic nerve index indicates an index that captures the activity state of the control system related to the autonomic nervous system. In the first embodiment, the autonomic nerve index indicates a heart rate variability index (LF/HF) that captures the heartbeat activity state. The processor of the acquisition unit (310) calculates a heart rate variability index (LF/HF) based on the heart rate measured by the first sensor (110). A heart rate variability index (LF/HF) can be calculated, for example, by frequency analysis from heartbeat intervals. That is, by frequency analysis (spectrum analysis) of heart rate variability (variation of RR intervals) using methods such as Fourier transform and wavelet transform, mainly sympathetic nerve function is reflected (including some parasympathetic nerves) A low frequency component (LF) from 0.05 to 0.15 Hz, a high frequency component (HF) from 0.15 to 0.4 Hz reflecting parasympathetic nerve function, and a heart rate variability index low/high frequency The component ratio (LF/HF) can be obtained. In addition, the waveform of the pulse wave is second-order differentiated to calculate the acceleration pulse wave, and from the waveform of the obtained acceleration pulse wave, the variation of the aa interval (pulse interval) corresponding to the variation of the RR interval of the electrocardiogram is calculated. It is also possible to obtain a heart rate variability index (LF/HF) from the results of frequency analysis of the time variation of this aa interval.

In the first embodiment, the first acquisition unit (311) performs the process of calculating the heart rate variability index (LF/HF), but the present invention is not limited to this. The first sensor (110) performs processing for calculating the heart rate variability index (LF/HF), and the first acquisition unit (311) acquires the heart rate variability index (LF/HF) from the first sensor (110). can be configured to

The second acquisition unit (312) includes a device for communicating with the second sensor (120). A second acquisition unit (312) acquires information indicating the skin conductance (SC) measured by the second sensor (120).

The input unit (320) receives instructions from the outside to the evaluation device (300). The input unit (320) includes, for example, a keyboard, mouse, touch panel, and the like.

The reporting unit (330) reports predetermined information. The notification unit (330) includes, for example, a speaker that emits notification sounds, a display that displays predetermined information, and/or a communication device that transmits predetermined information to an external terminal (smartphone, etc.). A description of the predetermined information will be given later.

The storage unit (340) includes a main storage device (e.g., semiconductor memory) such as flash memory, ROM (Read Only Memory), and RAM (Random Access Memory), and an auxiliary storage device (e.g., hard disk drive). , SSD (Solid State Drive), SD (Secure Digital) memory card, or USB (Universal Serial Bus) flash memory). The storage unit (340) stores various computer programs executed by the processors of the evaluation unit (350) and the acquisition unit (310).

The storage unit (340) stores correspondence information (Y). The correspondence information (Y) will be described later.

The evaluation unit (350) includes processors such as CPUs and MPUs. The evaluation unit (350) controls each element of the evaluation device (300) by executing a computer program stored in the storage unit (340).

-Explanation of test results-
The results of tests conducted by the inventors of the present application will be described with reference to FIGS. 2 to 5. FIG.

FIG. 2 shows a graph (G1) displayed on a coordinate system in which the vertical axis is the heart rate variability index (LF/HF) and the horizontal axis is time. In general, the greater the heart rate variability index (LF/HF), the greater the stress.

FIG. 3 shows a graph (G2) displayed in a coordinate system with skin conductance (SC) on the vertical axis and time on the horizontal axis. Graph (G1) and graph (G2) each show the results of this test. In general, the greater the amount of perspiration, the greater the skin conductance (SC).

In this test, the subjects alternately moved between two rooms with temperatures set to normal temperature (26°C) and high temperature (36°C). /HF) and skin conductance (SC) were measured. Then, a graph (G1) (see FIG. 2) is created in which the test execution time and the subject's heart rate variability index (LF/HF) are associated with each other. Also, a graph (G2) (see FIG. 3) is created in which the test execution time is associated with the subject's skin conductance (SC).

As shown in FIGS. 2 and 3, in this test, from time 0 to time t1, from time t2 to time t3, from time t4 to time t5, from time t6 to time t7, and after time t8, the room temperature of 26° C. was the period. The periods of time t1 to time t2, time t3 to time t4, time t5 to time t6, and time t7 to time t8 were high temperature periods of 36°C.

The graph (G1) will be described with reference to FIG.

As shown in the graph (G1), during the normal temperature period, the subject's heart rate variability index (LF/HF) tends to remain the same or decrease. During the high temperature period, the subject's heart rate variability index (LF/HF) tends to increase.

The graph (G2) will be described with reference to FIG.

As shown in the graph (G2), the subject's skin conductance (SC) tends to decrease during the normal temperature period. During hot periods, the subject's skin conductance (SC) tends to increase.

The relationship between heart rate variability index (LF/HF) and skin conductance (SC) will be described with reference to FIGS. 2 and 3. FIG.

As shown in FIGS. 2 and 3, in the first high-temperature period (time t1 to time t2), the peak value (pa) of the heart rate variability index (LF/HF) is lower than in the other high-temperature periods, and the skin The peak value (qa) of conductance (SC) is high. In other words, even if the sympathetic nerves that control the perspiration function are not excessively active, there is a sufficient amount of perspiration. interpretable.

In the second high temperature period (time t3 to time t4), the peak value (pb) of the heart rate variability index (LF/HF) is higher than the peak value (pa) in the first high temperature period (pb>pa). , It is thought that the balance between the sympathetic nerves, which control body temperature regulation, and the parasympathetic nerves, which have an antagonistic effect on the sympathetic nerves, has been lost. On the other hand, the peak value (qb) of the skin conductance (SC) is equivalent to the peak value (qa) of the first high temperature period (qb≈qa), so it is considered that the body temperature regulation function can be maintained. . Therefore, it can be interpreted that the load on the body's body temperature control function continued, and the remaining capacity decreased, but the body temperature control function was maintained.

During the third high-temperature period (time t5 to time t6), the peak value (pc) of the heart rate variability index (LF/HF) was as high as in the second high-temperature period, but the peak of the skin conductance (SC) Since the value (qc) is lower than the peak value (qb) during the second high-temperature period, sufficient sweating is caused by the imbalance of the autonomic nervous system and the exhaustion of peripheral physiological mechanisms involved in sweating. It is expected that it is becoming impossible to carry out This state can be interpreted as a state in which the thermoregulatory function is exhausted compared to the second time.

In the fourth high temperature period (time t7 to time t8), the peak value (pd) of the heart rate variability index (LF/HF) was as high as in the second high temperature period and the third high temperature period. Since the peak value (qd) of the conductance (SC) was further decreased from the peak value (qc) of the third high temperature period, the subject's sweating amount was further decreased, further impairing the body temperature regulation function. It can be interpreted that it is becoming difficult to regulate body temperature.

Among the high temperature periods shown in time t1 to time t2, time t3 to time t4, time t5 to time t6, and time t7 to time t8, the subject is more exhausted in the latter high temperature period than in the early high temperature period. By doing so, the heart rate variability index (LF/HF) increases, but the skin conductance (SC) decreases, making it impossible to regulate body temperature well, and the degree of fatigue in the body temperature control function increases. there is

From the above test results, the inventors of the present application have found that the fatigue state of the thermoregulatory function, such as the collapse of the autonomic nerve balance related to the thermoregulatory function and the deterioration of the peripheral sweating function, caused by long-term exposure to heat load or repeated exposure. We developed a method to evaluate the state of the thermoregulatory function step by step from the heart rate variability index (LF/HF) and the state of the skin conductance, which is a perspiration index.

The inventor of the present application created classification information (Z) that classifies the degree of fatigue of the body temperature regulation function into a plurality of patterns (patterns (A) to (D)).

FIG. 4 is a diagram showing classification information (Z). The classification information (Z) will be described with reference to FIG.

As shown in FIG. 4, the classification information (Z) is information in which the evaluation results of the body temperature regulating function are classified into a plurality of patterns based on the threshold values set for each of the autonomic nerve index and perspiration index. A plurality of patterns are associated with a plurality of index sets, respectively. Each of the plurality of index sets is composed of a combination of an autonomic nerve index and a perspiration index having ranges separated by thresholds.

Hereinafter, the threshold set for the autonomic nerve index may be referred to as the first threshold, and the threshold set for the perspiration index may be referred to as the second threshold.

In the first embodiment, the correspondence information (Y) uses the heart rate variability index (LF/HF), which is an example of an autonomic nerve index, and the skin conductance (SC), which is an example of a perspiration index, to determine the body temperature regulation function. Classify evaluation results into multiple patterns.

In the first embodiment, the evaluation results of the body temperature regulating function are classified into four patterns (A) to (D). Pattern (A) indicates a normal state in which the thermoregulatory load is low and the thermoregulatory function is not fatigued. Pattern (B) indicates a state in which the fatigue of the thermoregulatory function is low, in which the body temperature regulation load is high, but the body still has energy to spare. Pattern (C) indicates a state of moderate fatigue of the body temperature control function, such as a high body temperature control load and little spare capacity. Pattern (D) indicates a state of high thermoregulatory fatigue that makes it difficult to maintain body temperature due to high thermoregulatory load. In the order of pattern (A), pattern (B), pattern (C), and pattern (D), the evaluation result of the body temperature regulation function becomes worse.

In the first embodiment, a first threshold value V is set for the heart rate variability index (LF/HF) (see FIG. 2). A second threshold W is set for the skin conductance (SC) (see FIG. 3).

In the correspondence information (Y) shown in FIG. 4, "large" described in the heart rate variability index (LF/HF) column indicates that the heart rate variability index (LF/HF) acquired by the first acquisition unit (311) is the second 1 threshold value V or more. “Small” written in the heart rate variability index (LF/HF) column indicates that the heart rate variability index (LF/HF) obtained by the first obtaining unit (311) is smaller than the first threshold V. “Large” written in the skin conductance (SC) column indicates that the skin conductance (SC) acquired by the second acquisition unit (312) is equal to or greater than the second threshold W. "Small" written in the column of skin conductance (SC) indicates that the skin conductance (SC) acquired by the second acquisition unit (312) is smaller than the second threshold W.

In the first embodiment, pattern (A) is a combination of heart rate variability index (LF/HF) having a range smaller than the first threshold V and skin conductance (SC) having a range smaller than the second threshold W. consists of As shown in pattern (A), when the heart rate variability index (LF/HF) is smaller than the first threshold V and the skin conductance (SC) is smaller than the second threshold W, the load on body temperature regulation is low. , can be evaluated as a normal state in which the thermoregulatory function is not fatigued.

In the first embodiment, the pattern (B) is a combination of a heart rate variability index (LF/HF) having a range smaller than the first threshold V and a skin conductance (SC) having a range greater than or equal to the second threshold W. Configured. As shown in pattern (B), when the heart rate variability index (LF/HF) is smaller than the first threshold V and the skin conductance (SC) is equal to or greater than the second threshold W, the autonomic nervous system functions normally. Therefore, it can be evaluated as a state in which fatigue of the body's body temperature regulation function is low, which means that there is still some spare strength, although the load on body temperature regulation is high because of the large amount of perspiration.

In the first embodiment, the pattern (C) is composed of a combination of a heart rate variability index (LF/HF) having a range equal to or greater than the first threshold V and a skin conductance (SC) having a range equal to or greater than the second threshold W. be done. As shown in pattern (C), when the heart rate variability index (LF/HF) is greater than or equal to the first threshold value V and the skin conductance (SC) is greater than or equal to the second threshold value W, the autonomic nerves that control the body temperature regulation function are activated. Excessive activity and profuse sweating imposes a high load on body temperature regulation, and it can be evaluated as a state of moderate fatigue in the body temperature regulation function, which means that there is little spare strength.

In the first embodiment, the pattern (D) is a combination of the heart rate variability index (LF/HF) having a range equal to or greater than the first threshold V and the skin conductance (SC) having a range smaller than the second threshold W. Configured. As shown in pattern (D), when the heart rate variability index (LF/HF) is equal to or greater than the first threshold value V and the skin conductance (SC) is smaller than the second threshold value W, the autonomic nerves that control body temperature regulation function. is overactive, but the sweating function that responds to it is reduced, so the load on thermoregulation is high, and it can be evaluated as a state of high fatigue in the thermoregulatory function that makes it difficult to maintain body temperature.

The inventor of the present application hypothesized that exercise performance can be evaluated by patterns (A) to (D) of the fatigue index of the body temperature regulation function, which indicate the degree of fatigue of the body temperature regulation function. Below, a method for evaluating exercise performance based on the hypothesis will be described.

FIG. 5 is a diagram showing a hypothetical model of the relationship between the fatigue index of body temperature regulation function and exercise performance. The fatigue index of the body temperature regulation function increases in the order of pattern (A), pattern (B), pattern (C), and pattern (D), and the height of exercise performance increases in pattern (B), pattern (A), It is expected that pattern (C) and pattern (D) will increase in order.

As shown in FIGS. 4 and 5, when the fatigue index of the body temperature regulation function corresponds to pattern (A), the load on body temperature regulation is low and the body temperature regulation function is not fatigued. At rest, the body temperature is presumed to be below the optimal temperature for exercise. In this case, although the person is not fatigued, the body temperature is not suitable, so the exercise performance is expected to be somewhat higher, although the exercise performance is inferior to the best.

When the fatigue index of the body temperature regulation function corresponds to pattern (B), the load of body temperature regulation is high, but the body temperature regulation function is in a state of low fatigue, which means that there is still some energy left. , the body temperature is estimated as a temperature suitable for exercise. In this case, since the body still has spare strength and the body temperature is suitable for exercise, it is expected that the exercise performance will be the best.

If the fatigue index of the body temperature regulation function corresponds to pattern (C), the fatigue of the body temperature regulation function is high and the body temperature regulation function is in a state of moderate fatigue. It is presumed that the central nervous system responsible for thermoregulation and the terminal functions acting on the actual heat release phenomenon are correspondingly overloaded while the body temperature is elevated to a suitable level. In this case, although the body temperature is suitable for exercise, the exercise performance is expected to be lower than in the case of pattern (A) because there is no spare capacity for the body temperature control function.

If the fatigue index of the body temperature regulation function corresponds to pattern (D), the load on body temperature regulation is high, and the temperature regulation function is in a state of high fatigue that makes it difficult to maintain body temperature, so the body temperature regulation function is exhausted. It is presumed that the amount of perspiration decreases, and if exercise continues, the rise in body temperature cannot be suppressed. In this case, lowering the exercise performance is considered to suppress the increase in body temperature, so it is expected that the exercise performance will be lower than in the case of pattern (C).

Based on the above hypothesis, the inventor of the present application modeled the relationship between the fatigue index of body temperature regulation function and exercise performance. Specifically, as in the case of pattern (B), exercise performance is estimated to be higher when the degree of fatigue in the body temperature regulation function is moderate.

The correspondence information (Y) will be described with reference to FIGS. 4 and 6. FIG.

As shown in FIG. 4, the degree of fatigue in the thermoregulatory function is associated with the amount of perspiration and autonomic nerve balance, and the fatigue index in the thermoregulatory function is lowest in pattern (A), (D) and so on. In any of the patterns (A) to (D), depending on the amount of sweating and the autonomic nerve balance within the range of the pattern, patterns (A1) and (A2) for pattern (A), pattern (B) Patterns (B1) and (B2) for pattern (C), patterns (C1) and (C2) for pattern (C), and patterns (D1) and (D2) for pattern (D), such as (see FIG. 6) A pattern may be divided into multiple sub-items. As shown in FIG. 6, the correspondence information (Y) indicates information in which exercise performance indices are associated with different fatigue indices of thermoregulatory function. In the first embodiment, correspondence information (Y) includes first correspondence information (Y1). The first correspondence information (Y1) consists of information corresponding to the first type of exercise (first type correspondence information) (Y1-1) and information corresponding to the second type of exercise (second type correspondence information). (Y1-2) and

In the first embodiment, the exercise performance index is represented by a numerical value of 1-10. It is defined that the larger the numerical value representing the exercise performance index, the higher the exercise performance.

FIG. 6 is a diagram showing first correspondence information (Y1).

As shown in FIG. 4, in the first embodiment, the fatigue index of thermoregulatory function is composed of heart rate variability index (LF/HF) and skin conductance (SC).

Each of the information (Y1-1) corresponding to the first type of exercise and the information (Y1-2) corresponding to the second type of exercise is information that associates the fatigue index of body temperature regulation with exercise performance. .

In the first embodiment, the first threshold V (see FIG. 2) is set to a value of nine. In FIG. 4, when the heart rate variability index (LF/HF) is less than 9, the heart rate variability index (LF/HF) is set to "small", and when it is 9 or more, the heart rate variability index (LF/HF) is set to "large." ” is set.

In the first embodiment, the second threshold W (see FIG. 3) is set to a value of two. In FIG. 4, when the skin conductance (SC) is less than 2, the skin conductance (SC) is set to "small", and when it is 2 or more, it is set to "large".

In each of the information (Y1-1) corresponding to the first type of exercise and the information (Y1-2) corresponding to the second type of exercise, the numerical values described correspond to the pattern ( FIG. 6 shows exercise performance indexes in cases corresponding to A), (B), (C), and (D) (see FIG. 6).

In the first embodiment, the first correspondence information (Y1) includes a plurality of types of information (Y1-1, Y1-2) set according to the type of exercise. The information (Y1-1) corresponding to the first type of exercise is for sprinting, and is associated with the exercise performance of sprinting. The information (Y1-1) corresponding to the first type of exercise is used to output the exercise performance of sprinting. The information (Y1-2) corresponding to the second type of exercise targets long-distance running and is associated with long-distance running. The information (Y1-2) corresponding to the second type of exercise is used to output the exercise performance of long-distance running.

A plurality of types of corresponding information are set by measuring the relationship between the fatigue index of the thermoregulatory function and exercise performance or work performance in advance. Associated with the fatigue index of the body temperature regulation function in the plurality of types of correspondence information (information corresponding to the first type of exercise (Y1-1) and information corresponding to the second type of exercise (Y1-2)) The size of the exercise performance index is set according to the type of target exercise. For example, short-distance running requires more explosive power than long-distance running, so muscle temperature must be high in order to increase muscle contraction force. As a result, the information corresponding to the first type of exercise (Y1 -1) and information (Y1-2) corresponding to the second type of exercise are set. In the first embodiment, in the case of short-distance running, as shown in the information (Y1-1) corresponding to the first type of exercise, the exercise performance index peaks when the degree of fatigue in the body temperature control function is in the pattern (B2). In the case of long-distance running, the exercise performance index peaks when the fatigue level of the body temperature control function is in the pattern (B1) as shown in the information (Y1-2) corresponding to the second type of exercise. set to be 10.

- An example of processing contents of the evaluation section (350) -
An example of the processing contents of the evaluation unit (350) will be described with reference to FIGS. 1, 6 and 7. FIG. FIG. 7 is a flowchart showing an example of the processing contents of the evaluation unit (350).

As shown in FIGS. 1, 6 and 7, in step S10, information indicating the type of exercise performed by the subject is input from the input section (320).

In step S20, the evaluation unit (350) selects information associated with the exercise input from the input unit (320) from among multiple types of information (information (Y1-1) and information (Y1-2)). do. For example, in step S10, when information indicating sprinting is input from the input unit (320), in step S20, the evaluating unit (350) outputs second correspondence information (Y1-1 ).

In step S30, the processor of the acquisition unit (310) determines the fatigue index of the subject's thermoregulatory function using various information acquired by the first acquisition unit (311) and the second acquisition unit (312). . As a result, the acquisition unit (310) acquires the fatigue index of the subject's thermoregulatory function. In the first embodiment, one of patterns (A1) to (D2) (see FIG. 6) is acquired as the subject's fatigue index of the body temperature regulation function.

In step S40, the evaluation unit (350) derives from the information selected in step S20 and the fatigue index (heart rate variability index (LF/HF) and skin conductance (SC)) of the subject's thermoregulatory function acquired in step S30. are used to assess the subject's exercise performance.

For example, if the information selected in step S20 is the information (Y1-2) and the fatigue index of the body temperature regulation function of the subject acquired in step S30 is the pattern (B2), the information (Y1-2) includes the pattern ( By determining 10 associated with B2) as the subject's exercise performance index, the subject's exercise performance is evaluated.

In step S50, the evaluation section (350) outputs, through the notification section (330), information indicating that the subject's exercise performance index determined in step S40 is 10. As a result, the subject can check his own exercise performance index.

When the process shown in step S50 ends, the process ends.

-Effects of the first embodiment-
As described above with reference to FIGS. 1 to 7, the evaluation unit (350) uses the heart rate variability index (LF/HF) and skin conductance (SC), which constitute indices related to the thermoregulatory function of the subject. , the exercise performance of the subject can be evaluated.

Also, a plurality of types of correspondence information (Y1) are set according to the type of exercise. Thereby, the exercise performance of the subject can be effectively evaluated in accordance with the exercise performed by the subject.

-Second Embodiment-
A second embodiment of the present invention will be described with reference to FIGS. 1, 4 and 8. FIG. FIG. 8 is a diagram showing second correspondence information (Y2), which is a second example of correspondence information (Y).

As shown in FIGS. 1 and 8, in the second embodiment, the correspondence information (Y) stored in the storage section (340) is composed of second correspondence information (Y2).

The second correspondence information (Y2) is information in which an exercise performance index is associated with each fatigue index of the thermoregulatory function. In the second correspondence information (Y2), the degree of fatigue in the body temperature control function is represented by A to D.

A first example of the procedure for determining the fatigue indices (A) to (D) of the body temperature regulation function of the second correspondence information (Y2) will be described. A near-miss risk index, which is an example of a fatigue index of the body temperature control function, is indicated by a numerical value of 1 to 10, and the higher the value, the higher the risk of near-miss occurrence during physical work.

In a first example, the sensor (100) consists of a temperature sensor. A fatigue index of thermoregulatory function is determined by a processor provided in an acquisition unit (310) based on the subject's peripheral skin temperature and core body temperature acquired from the temperature sensor by the acquisition unit (100). As a result, the acquisition unit (310) acquires the fatigue index of the thermoregulatory function.

In this case, for example, when the peripheral skin temperature is less than 34° C. and the core body temperature is less than 37.5° C., pattern (A) is applied, and the near-miss risk index during physical work is determined to be 4. When the peripheral skin temperature is 34° C. or more and less than 35° C. and the core body temperature is less than 37.5° C., it corresponds to pattern (B), and the near-miss risk index during physical work is determined to be 2. When the peripheral skin temperature is 35° C. or more and the core body temperature is less than 37.5° C., it corresponds to pattern (C), and the near-miss risk index during physical work is determined to be 6. If the peripheral skin temperature is 35° C. or higher and the core body temperature is 37.5° C. or higher, it corresponds to pattern (D), and the near-miss risk index is determined to be 10 during physical work.

A second example of the procedure for determining the degree of fatigue indices (A) to (D) of the second correspondence information (Y2) will be described.

In the second example, the sensor (100) consists of a temperature sensor and a timer. The temperature sensor detects the air temperature (environmental temperature) of the environment in which the subject was placed immediately before the subject's exercise performance was evaluated by the evaluation unit (350). The timer measures the time the subject is placed in the environment (dwell time). An acquisition unit (310) acquires information indicating the environmental temperature detected by the temperature sensor and information indicating the staying time measured by the timer. Then, based on the ambient temperature and the stay time, a processor provided in the acquisition unit (310) determines the fatigue index of the thermoregulatory function.

In this case, for example, when the environmental temperature is a predetermined comfortable temperature (a temperature at which people generally feel comfortable), the fatigue index of the body temperature control function becomes small (for example, one of (A) to (C)). It is determined. In addition, when the environmental temperature deviates from the predetermined comfortable temperature (the temperature at which people generally feel too cold or too hot), it is determined that the fatigue index of the body temperature control function increases as the stay time increases. be done.

When the correspondence information (Y) is composed of the second correspondence information (Y2), the evaluation unit (350) determines near-miss incidents during physical work associated with the fatigue index of the body temperature regulation function in the second correspondence information (Y2). The risk is output as an evaluation result of near-miss risk during physical work of the subject.

Note that in the second embodiment, the first correspondence information (Y1) is not set in multiple types according to the type of exercise as in the first embodiment, but is a single type of second correspondence that does not specify the type of exercise. Consists of information (Y2). In this case, in the flowchart shown in FIG. 7, the processing shown in step S10 and the processing shown in step S20 are unnecessary when the processing for evaluating the exercise performance of the subject is performed. As a result, the process of evaluating the exercise performance of the subject can be performed quickly. However, the invention is not so limited. Also in the second embodiment, a plurality of types of second correspondence information (Y2) may be set according to the type of exercise. For example, second corresponding information (Y2) for light work in factories and second corresponding information (Y2) for outdoor road construction may be set.

In the first embodiment, the first correspondence information (Y1) is composed of two types of information for short-distance running (Y1-1) and information for long-distance running (Y1-2). Like the second correspondence information (Y2) of the second embodiment, it may consist of one type of information that does not specify the type of exercise or work.

- Effects of the second embodiment -
As described above with reference to FIGS. 1, 4, and 9, the evaluation unit (350) uses the degree of fatigue, which is an index related to the body temperature regulation function of the subject, to estimate near-miss incidents during physical work of the subject. Able to assess risk.

-Third embodiment-
An evaluation system (20) according to a third embodiment of the present invention will be described with reference to FIG. FIG. 9 is a block diagram showing the configuration of an evaluation system (20) according to the third embodiment of the invention.

-overall structure-
As shown in Figure 9, the evaluation system (20) comprises a sensor (100) and an air treatment device (400).

The air treatment device (400) is a device that has a function of adjusting the indoor temperature. The air treatment device (400) includes, for example, an air conditioner.

The air treatment device (400) includes an indoor unit (410) and an outdoor unit (420).

The indoor unit (410) is installed indoors. The indoor unit (410) includes a temperature sensor (411), a storage section (412), an evaluation device (300), and a control section (413). A temperature sensor (411) detects the indoor temperature. The storage unit (412) includes main storage devices such as flash memory, ROM, and RAM, and may further include auxiliary storage devices. The storage section (412) stores various computer programs executed by the control section (413). The control unit (413) includes processors such as CPU and MPU. In the third embodiment, the evaluation device (300) is an electronic component built into or externally attached to the housing of the indoor unit (410). However, the invention is not so limited. The evaluation device (300) may be incorporated in a bracelet-type device including the first sensor and the second sensor, output the evaluation result to the communication unit incorporated in the indoor unit, and cause the control unit to acquire the evaluation result.

The control unit (413) controls each element of the air treatment device (400) by executing a computer program stored in the storage unit (412). The control unit (413) controls, for example, a fan provided in the indoor unit (410), a compressor provided in the outdoor unit (420), etc., so that the indoor temperature (air temperature) reaches the set temperature. to control the temperature of The control section (413) of the air treatment device (400) may also function as the evaluation section (350) (see FIG. 1) of the evaluation device (300). The storage section (412) of the air treatment device (400) may also function as the storage section (340) of the evaluation device (300).

- An example of the operation of the air treatment device (400) -
An example of the operation of the air treatment device (400) will be described with reference to FIGS. 1 and 9. FIG.

As shown in FIGS. 1 and 9, the control unit (413) of the air treatment device (400) acquires the subject's exercise performance index output from the evaluation device (300). Then, the control unit (413) of the air treatment device (400) acquires exercise performance from the evaluation device (300) when the subject's exercise performance index acquired from the evaluation device (300) is less than a predetermined target value. The process of changing the set temperature of the air treatment device (400) is performed until the index reaches or exceeds a predetermined target value. The air treatment device (400) changes the set temperature, set humidity, and/or airflow of the air treatment device (400) until the exercise performance index obtained from the evaluation device (300) reaches or exceeds a predetermined target value. It may be configured to perform processing to This controls the temperature, humidity, and/or airflow of the space in which the subject resides. Also, the temperature processing device may be configured to control the temperature, humidity, and/or airflow of fixtures or clothes with which the subject comes into contact. The temperature processing device includes, for example, a fan or the like provided in air-conditioned clothing.

- Effects of the third embodiment -
As described above with reference to FIGS. 1 and 9, the air treatment device (400) includes the evaluation device (300). Thereby, the operation of the air treatment device (400) can be controlled in consideration of the exercise performance evaluation result of the subject by the evaluation device (300).

<<Other embodiments>>
Although the embodiments and modifications have been described above, it will be understood that various changes in form and detail can be made without departing from the spirit and scope of the claims (e.g., (1) ~(2)). In addition, the embodiments and modifications described above may be appropriately combined or replaced as long as the functions of the object of the present disclosure are not impaired.

(1) In the first to third embodiments, a heart rate variability index (LF/HF) that captures the heartbeat activity state is used as an autonomic nerve index. However, the invention is not so limited. For example, a pulse variability index that captures the activity state of the pulse may be used as the autonomic nerve index. In this case, the first sensor (110) includes a pulse wave sensor.

(2) In step S50 shown in FIG. 8, when the subject's exercise performance index is output, the notification unit (330) may notify information on the subject's exercise performance index. As a result, the subject can confirm his or her exercise performance.

An example of the operation of the notification unit (330) will be described below.

The acquisition unit (310) continuously acquires the fatigue index of the subject's thermoregulatory function, so that the evaluation unit (350) continuously outputs the subject's exercise performance index. In this state, when the subject's exercise performance index reaches or exceeds a predetermined value, the notification unit (330) notifies predetermined information regarding the subject's motion. The predetermined value indicates, for example, a reasonably large exercise performance index (for example, 9 or higher) that enables effective exercise. The predetermined information is, for example, information indicating that the subject's exercise performance index is equal to or greater than a predetermined value, indicating that the subject has sufficiently warmed up and that it is time to stop warming up. As a result, the target person can recognize the timing of his or her warm-up by confirming the predetermined information notified from the notification unit (330). In addition, by recognizing the end of his own warm-up, the subject can exercise in a state in which his exercise performance is enhanced. In addition, if a decline in exercise performance is detected due to a worsening degree of fatigue in the body temperature control function, it is possible to prevent exercise in a state of poor performance by recommending rest and hydration. In addition, it is possible to improve the work efficiency of workers by applying it not only to exercise performance during competition but also to work efficiency of physical work such as road construction.

As described above, the present disclosure is useful for an exercise performance evaluation device, an air treatment device, and an exercise performance evaluation method.

10 Exercise performance evaluation system
300 exercise performance evaluation device
310 Acquisition unit
311 First Acquisition Unit
322 Second Acquisition Unit
330 Notification Unit
340 Memory
350 Evaluation Department
400 air treatment unit
Y Correspondence information
Y1 first response information
Y2 second correspondence information
Y3 third response information

Claims (9)

an acquisition step in which a computer acquires a body temperature regulating function fatigue index that indicates the degree of body temperature regulating function fatigue of a subject;
an evaluation step in which the computer evaluates the exercise performance of the subject using the fatigue index of the body temperature regulation function of the subject,
The obtaining step includes
obtaining an autonomic nerve index of the subject;
obtaining a perspiration index of the subject;
The computer classifies the obtained autonomic nerve index and perspiration index of the subject by thresholds set for each of the autonomic nerve index and the perspiration index, and classifies the degree of fatigue of the body temperature adjustment function. Evaluate the exercise performance of the subject by associating an exercise performance index, which is an index of the level of exercise performance, with each fatigue index indicating
the autonomic nerve index includes a heart rate variability index or a pulse variability index;
A method for evaluating exercise performance, wherein the perspiration index includes skin conductance or perspiration amount. In claim 1,
An exercise performance evaluation method, wherein, in the evaluation step, an exercise performance index indicating the exercise performance of the subject is output by evaluating the exercise performance of the subject. In claim 1 or claim 2,
In the evaluation step, the exercise performance of the subject is evaluated by further using correspondence information (Y) in which the exercise performance index indicating the exercise performance is associated with each fatigue index of the body temperature regulation function different from each other. A method of evaluating exercise performance. 4. The exercise performance evaluation method according to claim 3, wherein said correspondence information (Y1) includes a plurality of types of information (Y1-1, Y1-2) set according to the type of exercise. 4. The exercise performance evaluation method according to claim 3, wherein a plurality of types of correspondence information (Y2) are set according to risks during exercise related to thermoregulatory function. 6. The method of evaluating exercise performance according to any one of claims 1 to 5, further comprising the step of notifying the subject of information relating to an evaluation result of the exercise performance of the subject. 7. In any one of claims 1 to 6, the air processing device (400) controls the temperature, humidity, and/or airflow of the space in which the subject exists, based on the evaluation result in the evaluation step. and a step of controlling the temperature, humidity, and/or airflow of fixtures or clothing with which the subject comes into contact with a temperature processing device. an acquisition unit (310) for acquiring a body temperature regulation fatigue index indicating the degree of body temperature regulation fatigue of the subject;
an evaluation unit (350) that evaluates exercise performance of the subject based on the fatigue index of the body temperature regulation function of the subject;
The acquisition unit (310)
an autonomic nerve index of the subject;
obtaining the subject's perspiration index and
The evaluation unit (350) adjusts the body temperature by dividing the obtained autonomic nerve index and perspiration index of the subject by threshold values set for each of the autonomic nerve index and perspiration index. Evaluating the exercise performance of the subject by associating an exercise performance index that is an index of the level of exercise performance with each fatigue index that indicates the degree of functional fatigue,
the autonomic nerve index includes a heart rate variability index or a pulse variability index;
The exercise performance evaluation apparatus, wherein the perspiration index includes skin conductance or perspiration amount. An air treatment device comprising an athletic performance evaluation device (300) according to claim 8 .

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