JP2016087115A - Electronic apparatus and health condition management program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technology to perform heat stroke determination in consideration of an increase in a blood flow rate by exercise.SOLUTION: An electronic apparatus 1 includes an acquisition part 11, a calculation part 12, a determination part 13, and an output part 14. The acquisition part 11 acquires a first blood flow rate of blood flowing in a blood vessel in a skin measured using a first sensor 60, and exercise strength measured using a second sensor 70. The calculation part 12 finds a second blood flow rate estimated to have increased by exercise of the blood flow rate included in the first blood flow rate according to the magnitude of the exercise strength, and calculates a third blood flow rate by deducting the second blood flow rate from the first blood flow rate. Furthermore, the calculation part calculates a change in the third blood flow rate using the third blood flow rates calculated at different times. The determination part 13 determines whether or not the third blood flow rate tends to increase. The output part outputs information indicating that there is a possibility of heat stroke when the determination part determines that the third blood flow rate tends to increase.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a technique for managing a health condition.

  It is known that when the body temperature rises, the human body increases the amount of blood flowing in blood vessels in the skin in order to increase the amount of heat released from the body. In the following description, the amount of blood is also simply referred to as blood flow. In addition, the amount of blood flowing in blood vessels in the skin is also called skin blood flow.

  Using this property, the user's skin blood flow is measured at different times, and the skin blood flow change is determined using the measured skin blood flow. A technique for determining that there is a high possibility of a symptom is known. In the following description, the high possibility that the user has heat stroke also simply means that the possibility of heat stroke is high. Moreover, it is said that there is a suspicion of heat stroke that there is a high possibility of heat stroke.

  As another related technique, a housing to be attached to a living body is provided. An activity amount measuring unit is provided that is mounted on the housing and measures the amount of activity of the living body in real time by moving with the living body. An environment information acquisition unit that acquires environment information including the temperature around the living body is provided. A risk calculation unit is provided that obtains a risk index representing a risk that the living body becomes heat stroke based on the amount of activity and environmental information. A risk notifying unit for notifying information representing a risk index is provided (for example, Patent Document 1).

  As another related technique, the exercise support device evaluates the user's physical condition by combining the transition of exercise data representing the amount of exercise of the user and the transition of biological data representing the physiological state of the user, The instruction content is presented to the user based on the evaluation result (for example, Patent Document 2).

  Furthermore, as another related technology, the risk determination device acquires a magnitude of fluctuation of the physiological index, a measurement unit that measures a physiological index related to the peripheral blood flow of the subject, and abnormal temperature regulation from the magnitude of the fluctuation And an analysis unit for determining the risk of (for example, Patent Document 3).

JP 2012-210233 A JP 2009-142333 A JP 2011-212306 A

  In the electronic device having the management technique described above, when the skin blood flow is in an increasing tendency, it is determined that there is a suspicion of heat stroke. For example, when the skin blood flow increases due to exercise, there is a suspicion of heat stroke. It may be determined that there is, and it may not be possible to determine whether or not it is correctly heat stroke.

  As one aspect, the present invention provides a technique that enables heat stroke determination in consideration of an increase in blood flow due to exercise.

  One of the electronic devices disclosed in this specification is an electronic device including an acquisition unit, a calculation unit, a determination unit, and an output unit. An acquisition part acquires the 1st blood flow rate of the blood which flows into the blood vessel in the skin measured using the 1st sensor, and the exercise intensity measured using the 2nd sensor. The calculation unit obtains a second blood flow that is estimated to have increased due to exercise among the blood flows included in the first blood flow according to the intensity of the exercise intensity, and calculates the second blood flow from the first blood flow. The third blood flow rate is calculated by subtracting. Then, the calculation unit calculates a change in the third blood flow using the third blood flow calculated at different times. The determination unit determines whether or not the third blood flow rate is increasing. The output unit outputs information indicating that there is a suspicion of heat stroke when the determination unit determines that the third blood flow rate tends to increase.

  According to one embodiment, it is possible to determine heat stroke taking into account an increase in blood flow due to exercise.

It is a figure which shows an example of an electronic device. It is a functional block diagram which shows one Example of an electronic device. It is a figure which shows an example of acquisition information. It is a figure which shows an example of beat information. It is a figure which shows the relationship between exercise intensity and stroke volume. It is a figure which shows an example of heart rate information. It is a figure which shows the relationship between exercise intensity and heart rate. It is a figure (the 1) which shows an example of skin blood flow. It is a figure which shows an example of an estimated blood flow rate (the 1). It is a figure (the 1) which shows an example of correction | amendment blood flow. It is a figure (example 2) which shows an example of skin blood flow. It is a figure (the 2) which shows an example of an estimated blood flow rate. It is a figure which shows an example of correction | amendment blood flow rate (the 2). It is a figure (the 3) which shows an example of a skin blood flow rate. It is a figure (the 3) which shows an example of an estimated blood flow rate. It is a figure (the 3) which shows an example of correction | amendment blood flow rate. It is a figure which shows an example of the display of the information with the suspicion of heat stroke. It is a flowchart which shows a health condition management process. It is a flowchart (the 1) which shows heat stroke determination processing. It is a flowchart (the 2) which shows heat stroke determination processing. It is a block diagram which shows one Example of a computer apparatus.

[Embodiment]
The electronic device of the embodiment will be described.

FIG. 1 is a diagram illustrating an example of an electronic device.
The electronic device 1 will be described with reference to FIGS. 1 (a) to 1 (c). In the following description, the same reference numeral 1 is attached to the configuration corresponding to the electronic device 1. In addition, the same reference numerals are given to configurations having the same functions.

  The electronic device 1 is, for example, a head mounted display 1 shown in FIG. 1A, a wristwatch type terminal 1 shown in FIG. 1B, a mobile phone 1 shown in FIG. The electronic device 1 includes a display device 2.

The head mounted display 1 will be described with reference to FIG.
The head mounted display 1 includes a display device 2, an infrared sensor 3 (not shown), and an acceleration sensor 4 (not shown). And the head mounted display 1 is mounted | worn with a user in the form which covers from a head, for example. The infrared sensor 3 is, for example, a contact type sensor that comes into contact with a temple of a human body.

The wristwatch type terminal 1 will be described with reference to FIG.
The wristwatch type terminal 1 includes a display device 2, an infrared sensor 3 (not shown), and an acceleration sensor 4 (not shown). And the wristwatch type terminal 1 is wound around a user's wrist, for example. The infrared sensor 3 is, for example, a contact sensor that comes into contact with the wrist of a human body.

The mobile phone 1 will be described with reference to FIG.
The mobile phone 1 includes a display device 2. Moreover, the sensor terminal 5 is wound around a user's arm, for example. The mobile phone 1 and the sensor terminal 5 are connected so as to be communicable by wire or wireless. Then, the mobile phone 1 acquires the output from the sensor terminal 5. The sensor terminal 5 includes an infrared sensor 3 and an acceleration sensor 4. The infrared sensor 3 is, for example, a contact type sensor that comes into contact with a human arm or the like.

  In the following description, the electronic device 1 is a mobile phone 1 and will be described as acquiring the outputs of the infrared sensor 3 and the acceleration sensor 4 included in the sensor terminal 5. However, the present invention is not limited to this, and the electronic device 1 may include the acceleration sensor 4 and use the output thereof. Furthermore, the electronic device 1 may be the above-described head mounted display 1 or wristwatch type terminal 1. The electronic device 1 may be a terminal other than the head mounted display 1, the wristwatch type terminal 1, and the mobile phone 1 as long as it can measure the skin blood flow and the exercise intensity. The exercise intensity is an index indicating the intensity of exercise and is expressed in units of METs. METs is an abbreviation for Metabolic equivalences. METs is a unit that indicates how many times the oxygen intake is at rest. Therefore, METs can be said to be a unit indicating how many times the body is metabolized at rest when the activity or exercise is performed, with resting at 1.0 [METs]. Metabolism is calorie consumption.

  An example of processing in which the electronic device 1 measures skin blood flow using the output of the infrared sensor 3 will be described.

  The infrared sensor 3 is a combination of a near-infrared light emitting element and a light receiving element, and is attached so as to be in close contact with the skin. The infrared sensor 3 irradiates the skin surface with near infrared rays, and detects the amount of near infrared rays output from the light emitting element and the amount of near infrared rays detected by the light receiving element. Furthermore, the infrared sensor 3 outputs the near-infrared amount output from the light emitting element and the near-infrared amount detected by the light receiving element to the electronic device 1. In the following description, near infrared rays are also simply referred to as infrared rays. Moreover, the amount of near infrared rays is also simply called the amount of infrared rays.

  Here, the property regarding the blood flow rate, the hemoglobin amount, and the infrared ray amount detected by the light receiving element of the infrared sensor 3 will be described.

  Blood contains a substance called hemoglobin. Moreover, hemoglobin has a property of absorbing near infrared rays. It is known that when the blood flow rate increases, the hemoglobin amount also increases. For this reason, when the amount of hemoglobin increases, the amount of light absorbed when the body is irradiated with near infrared rays also increases, and the amount of reflected light decreases, so that the amount of infrared detected by the light receiving element of the infrared sensor 3 decreases. There is. It is also known that when the blood flow rate decreases, the hemoglobin amount also decreases. For this reason, when the amount of hemoglobin decreases, the amount of light absorbed when the body is irradiated with near infrared rays also decreases, and the amount of reflected light increases, so that the amount of infrared detected by the light receiving element of the infrared sensor 3 increases. There is a nature.

The electronic device 1 acquires the amount of infrared light output from the light emitting element of the infrared sensor 3 and the amount of infrared light detected by the light receiving element, and substitutes each infrared light amount into the following formula (1) using the above-described properties. Find skin blood flow. In the following description, the amount of near infrared light output from the light emitting element is also referred to as output infrared light amount. Moreover, the amount of near infrared rays detected by the light receiving element is also referred to as a detected infrared ray amount.
F = K1 × (R / A1) (1)
F: skin blood flow, A1: output infrared light amount, R: received infrared light amount, K1: coefficient The coefficient K1 is set so that the skin blood flow [ml / min] is obtained by multiplying R / A1. .

  As described above, the electronic device 1 measures the skin blood flow using the output of the infrared sensor 3. However, the process in which the electronic device 1 measures the skin blood flow is not limited to the above-described process using the infrared sensor 3, and the skin blood flow may be measured using another device or process.

  Next, an example of processing in which the electronic device 1 measures exercise intensity using the output of the acceleration sensor 4 will be described.

  The acceleration sensor 4 detects a three-dimensional acceleration and outputs an XYZ component of the detected acceleration to the electronic device 1. When the electronic device 1 acquires the XYZ component of acceleration from the acceleration sensor 4, the electronic device 1 combines the XYZ component of acceleration and extracts a waveform component obtained by removing noise from the combined value of the acceleration XYZ component using a digital filter. The electronic device 1 obtains an acceleration value by sampling the extracted waveform component.

Here, the properties relating to the acceleration value and the exercise intensity will be described.
When a user exercises with an acceleration sensor attached to the body, the acceleration value increases in proportion to the value of exercise intensity.

The electronic device 1 substitutes the obtained acceleration value into the following formula (2) using the above-described properties to obtain the exercise intensity.
M = K2 × A2 (2)
M: Exercise intensity, A2: Acceleration value, K2: Coefficient The coefficient K2 is set such that exercise intensity [METs] is obtained by multiplying A2.

  As described above, the electronic apparatus 1 measures the exercise intensity using the output of the acceleration sensor 4. However, the process in which the electronic device 1 measures the exercise intensity is not limited to the above-described process using the acceleration sensor 4, and the exercise intensity may be measured using another device or process.

  And the electronic device 1 calculates | requires the estimated blood flow volume estimated to have increased by the exercise | movement among the blood flow rates contained in skin blood flow volume according to the strength of the measured exercise intensity. Further, the electronic device 1 calculates a corrected blood flow that is estimated to be a blood flow at rest by subtracting the estimated blood flow from the skin blood flow. Furthermore, the electronic device 1 calculates a change in the corrected blood flow using the corrected blood flow calculated at different times. The electronic device 1 determines that there is a suspicion of heat stroke when the change in the corrected blood flow rate tends to increase, and displays information indicating that there is a suspicion of heat stroke on the display device 2. Resting means that the exercise intensity is 1.0 [METs] (exercise intensity 0 [%]).

  As described above, the electronic device 1 obtains a corrected blood flow that is obtained by subtracting the estimated blood flow estimated to have increased due to exercise from the skin blood flow in the blood flow included in the skin blood flow. Since the electronic device 1 determines that there is a suspicion of heat stroke when the corrected blood flow rate is increasing, it is possible to perform heat stroke determination that takes into account the increase in blood flow volume due to exercise.

In the following description, the electronic device 1 will be described in more detail.
FIG. 2 is a functional block diagram illustrating an embodiment of the electronic device.

The electronic device 1 will be described with reference to FIG.
The electronic device 1 includes a control unit 10, a storage unit 20, a display unit 30, an input / output unit 40, a transmission / reception unit 50, a first sensor 60, and a second sensor 70. The electronic device 1 is, for example, a computer device described later.

  The control unit 10 includes an acquisition unit 11, a calculation unit 12, a determination unit 13, and an output unit 14. The storage unit 20 includes acquisition information 21, output information 22, and heart rate information 23. In the following description, the values stored in the pulsation information 22 and the heart rate information 23 are examples. However, values in accordance with the actual situation may be stored according to the user's athletic ability. At this time, formulas (5) to (8) to be described later are derived using values corresponding to the actual situation stored in the beat information 22 and the heart rate information 23.

  The display unit 30 displays information. The input / output unit 40 receives input of information from a user or a connected device. Further, the input / output unit 40 outputs information output from the control unit 10 to a connected device. The transmission / reception unit 50 receives information from communication-connected devices. Furthermore, the transmission / reception unit 50 transmits information to the devices connected for communication.

  The first sensor 60 is, for example, the infrared sensor 3, and outputs the near-infrared amount output from the light emitting element and the near-infrared amount detected by the light receiving element to the control unit 10. The first sensor 60 may be a heart rate sensor, for example. At this time, the electronic device 1 acquires the exercise intensity corresponding to the heart rate detected by the heart rate sensor using FIG. 6 to be described later, and further, the single beat corresponding to the exercise intensity acquired using FIG. 4 to be described later. Get the amount. Moreover, the electronic device 1 calculates | requires a blood flow rate by multiplying the detected heart rate and the acquired stroke volume. The electronic device 1 may measure the value obtained by dividing the blood flow by 10 as the skin blood flow because the value of the skin blood flow with respect to the blood flow is about 10 [%]. The first sensor 60 may be an image sensor, for example. At this time, the electronic apparatus 1 may measure the skin blood flow of the user by analyzing the image captured by the image sensor.

  As described above, the first sensor 60 may be a sensor other than the infrared sensor 3 as long as the electronic device 1 can measure the skin blood flow using the detected value. In the following description, it is assumed that the first sensor 60 is the infrared sensor 3.

  The second sensor 70 is, for example, the acceleration sensor 4, detects a three-dimensional acceleration, and outputs an XYZ component of the detected acceleration to the electronic device 1. The second sensor 70 may be a heart rate sensor, for example. At this time, the electronic device 1 may acquire exercise intensity corresponding to the heart rate detected by the heart rate sensor using FIG.

  As described above, the second sensor 70 may be a sensor other than the acceleration sensor 4 as long as the electronic device 1 can measure the exercise intensity using the detected value. In the following description, it is assumed that the second sensor 70 is the acceleration sensor 4.

  The acquisition unit 11 acquires the skin blood flow volume of the blood flowing in the blood vessels in the skin measured using the infrared sensor 3 and the exercise intensity measured using the acceleration sensor 4. Skin blood flow is also referred to as first blood flow.

  When the amount of near infrared light output from the acceleration sensor 4 by the light emitting element and the amount of near infrared light detected by the light receiving element are input from the acceleration sensor 4, the acquisition unit 11 substitutes the skin blood flow rate into Equation (1). Calculation (measurement) may be performed to obtain skin blood flow. The infrared sensor 3 may perform processing up to the measurement of skin blood flow. At this time, the acquisition unit 11 acquires the skin blood flow measured by the infrared sensor 3. In the following description, the infrared sensor 3 performs processing up to the measurement of skin blood flow.

  In addition, when the XYZ component of acceleration is input from the acceleration sensor 4, the acquisition unit 11 calculates (measures) the exercise intensity by calculating an acceleration value from the acquired XYZ component of the acceleration and substituting it into Equation (2). The exercise intensity may be acquired. The acceleration sensor 4 may perform processing up to measurement of exercise intensity. At this time, the acquisition unit 11 acquires the exercise intensity measured by the acceleration sensor 4. In the following description, the acceleration sensor 4 performs processing up to the measurement of exercise intensity.

  The acquisition unit 11 repeatedly acquires skin blood flow volume and exercise intensity from the infrared sensor 3 and the acceleration sensor 4, and acquires the acquisition information shown in FIG. 3 in association with the acquisition time, skin blood flow volume, and exercise intensity. 21.

  The calculation unit 12 obtains an estimated blood flow that is estimated to have increased due to exercise among blood flows included in the skin blood flow according to the strength of the exercise intensity, and subtracts the estimated blood flow from the skin blood flow. Thus, the corrected blood flow rate is calculated. That is, the estimated blood flow rate is a skin blood flow rate that is estimated to have increased due to exercise. The corrected blood flow is an estimated resting skin blood flow obtained by subtracting a skin blood flow estimated to have increased due to exercise from the skin blood flow. The estimated blood flow is also referred to as a second blood flow. The corrected blood flow is also referred to as a third blood flow.

  In addition, when calculating the estimated blood flow volume according to the intensity of exercise intensity, the calculation unit 12 outputs the stroke volume and heart rate corresponding to the exercise intensity measured using the acceleration sensor 4 respectively. Obtained from information 22 and heart rate information 23. And the calculation part 12 calculates an estimated blood flow volume by subtracting the skin blood flow volume at the time of rest from the value which multiplied the obtained stroke volume and the heart rate.

With reference to FIGS. 4 to 7, the beat information 22 and the heart rate information 23 will be described.
FIG. 4 is a diagram illustrating an example of the output information.

This will be described with reference to FIG.
The stroke information 22 indicates the relationship between the stroke volume, which is the volume of blood pumped from the ventricle with a single contraction, and the intensity of exercise intensity. In the stroke information 22, exercise intensity and stroke volume are stored in association with each other. Note that the relationship between the exercise intensity and stroke volume stored in the stroke information 22 shown in FIG. 4 is an example, and a value in accordance with the actual situation may be stored depending on the user's exercise ability.

  In the stroke information 22, the unit of exercise intensity is [%]. The unit [%] of exercise intensity is converted into the unit [METs] using the following formula (3). The unit [METs] of exercise intensity is converted to [%] using the following formula (4) obtained by modifying the following formula (3).

  Equation (3) and equation (4) used for conversion between exercise intensity [METs] and exercise intensity [%] will be described.

  The oxygen intake at rest is 3 to 4 [ml / kg / min]. The maximum oxygen intake is said to be 30 to 40 [ml / kg / min]. In the following description, it is assumed that the maximum oxygen intake is 10 times the oxygen intake at rest. Note that the relationship between the resting oxygen intake and the maximum oxygen intake is an example, and the following formulas (3) and (4) are used, depending on the user's exercise ability, using values according to the actual situation. May be derived.

The unit of exercise intensity [METs] is a unit indicating how many times the oxygen intake is at rest. Therefore, when the exercise intensity is expressed in the unit [METs], the exercise intensity at rest is 1 [METs], and the exercise intensity when taking the maximum oxygen intake is 10 [METs]. The unit of exercise intensity [%] is a unit in which the exercise intensity at rest is 0 [%] and the exercise intensity when taking the maximum oxygen intake is 100 [%]. Therefore, exercise intensity [METs] and exercise intensity [%] are converted using the following equations (3) and (4).
Exercise intensity [METs] = 1 + 0.09 × Exercise intensity [%] (3)
Exercise intensity [%] = (Exercise intensity [METs] −1) /0.09 (4)

  As described above, the exercise intensity [METs] and the exercise intensity [%] are converted. In addition, when the exercise intensity is 10 [METs] or more, the oxygen intake is the same as the maximum oxygen intake, and therefore, the exercise intensity is converted to 100 [%].

FIG. 5 is a diagram showing the relationship between exercise intensity and stroke volume.
This will be described with reference to FIG.

  FIG. 5 is a graph showing the values stored in the beat information 22 shown in FIG. The graph of FIG. 5 shows that when the stroke volume at rest is 50 [ml] and the exercise intensity <50 [%], the stroke volume increases in proportion to the increase in exercise intensity. Show. Further, the graph of FIG. 5 shows that the stroke volume is fixed at 100 [ml] when 100 [%] ≧ exercise intensity ≧ 50 [%]. Note that the resting time means that the exercise intensity is 0% in the graph of FIG.

FIG. 6 is a diagram illustrating an example of heart rate information.
This will be described with reference to FIG.

  The heart rate information 23 indicates the relationship between the heart rate, which is the number of times the heart beats within a certain time, and the intensity of exercise intensity. The heart rate information 23 stores exercise intensity and heart rate in association with each other. The relationship between the exercise intensity and the heart rate stored in the heart rate information 23 shown in FIG. 6 is an example, and a value in accordance with the actual situation may be stored depending on the exercise ability of the user. In the heartbeat information 23, the heart rate is stored as the number of times the heart beats in one minute.

FIG. 7 is a diagram showing the relationship between exercise intensity and heart rate.
This will be described with reference to FIG.

  FIG. 7 is a graph showing the values stored in the heart rate information 23 shown in FIG. The graph of FIG. 7 shows that the heart rate at rest is 60 [b / m], and the heart rate increases in proportion to the increase in exercise intensity.

Processing in which the calculation unit 12 calculates the estimated blood flow will be described.
In the following description, values stored in the output information 22 shown in FIG. 4 and the heart rate information 23 shown in FIG. 6 are used. Further, the ratio between the maximum oxygen intake and the oxygen intake at rest is assumed to be 10 times. When the values stored in the output information 22 and the heart rate information 23 and the ratio between the maximum oxygen intake and the resting oxygen intake are changed according to the user's exercise ability, the following method is used. Equations (5) to (8) corresponding to the changed values are derived.

  As shown in FIG. 5, when exercise intensity <50 [%], the stroke volume is exercise intensity +50 [ml]. As shown in FIG. 5, when 100 ≧ exercise intensity ≧ 50, the stroke volume is 100 [ml]. As shown in FIG. 7, the heart rate is ((220−60) / 100) × exercise intensity + 60 = 1.6 × exercise intensity + 60 [b / m] in all exercise intensities.

  Therefore, the value of the blood flow volume estimated to have increased due to exercise is a value obtained by subtracting the blood flow volume at rest from the blood flow volume, and is calculated using the following formulas (5) and (7). The skin blood flow is about 10% of the blood flow. For this reason, when the estimated blood flow rate, which is estimated to be increased by exercise, is 10% of the blood flow rate, the equations (6) and (8) are used. Calculated. The blood flow rate at rest is a value obtained by multiplying the output information 22 shown in FIG. 4 and the heart rate information 23 shown in FIG. 6 by a value corresponding to each exercise intensity 0 [%], and 60 × 50 = 3000 [ml]. Moreover, the blood flow volume at rest may be stored in the storage unit 20 in advance. In this case, the calculation unit 12 may acquire the blood flow rate at rest from the storage unit 20 when calculating the estimated blood flow rate.

The unit of exercise intensity below is [%].
Blood flow volume estimated to have increased due to exercise when exercise intensity [%] <50 = (1.6 × exercise intensity + 60) × (exercise intensity + 50) −60 × 50 = exercise intensity × (1.6 * exercise Strength +140) (5)
Estimated blood flow = exercise intensity x (1.6 * exercise intensity + 140) / 10 ... (6)
Blood flow volume estimated to have increased due to exercise when 100 [%] ≧ exercise intensity ≧ 50 [%] = (1.6 × exercise intensity + 60) × 100−60 × 50 = 160 × exercise intensity + 3000 (7)
Estimated blood flow = (160 x exercise intensity + 3000) / 10 ... (8)

  The calculation unit 12 calculates the estimated blood flow volume by substituting the exercise intensity [%] into the equation (6) or the equation (8) according to the intensity condition of the exercise intensity [%].

A specific example of the calculation process of the estimated blood flow by the calculation unit 12 will be described.
For example, when the acquisition information 21 illustrated in FIG. 3 is stored in the storage unit 20, the calculation unit 12 substitutes exercise intensity 2.17 [METs] at 10:51:52 into the equation (4). Thus, the exercise intensity is converted to 13 [%]. Then, since the exercise intensity [%] <50, the calculation unit 12 substitutes the exercise intensity 13 [%] into the equation (6) and calculates the estimated blood flow rate 209 [ml / min] at 10:51:52. To do.

A process in which the calculation unit 12 calculates the corrected blood flow rate will be described.
FIG. 8 is a diagram (part 1) illustrating an example of skin blood flow. FIG. 9 is a diagram (part 1) illustrating an example of the estimated blood flow. FIG. 10 is a diagram (part 1) illustrating an example of the corrected blood flow rate. 8 corresponds to the values stored around 10:51:53 in the acquired information 21 of FIG. 9 and 10 are derived by using the values stored around 10:51:53 in the acquired information 21 of FIG. 3 and the equations (4), (6), and (8). It is burned.

This will be described with reference to FIG.
The calculation unit 12 calculates the estimated blood flow rate 209 [ml / min] calculated using the formula (6) at 10:51:52 at 509 [ml / min] at 10:51:52. The corrected blood flow rate 300 [ml / min] is calculated by subtracting from. Moreover, the calculation part 12 calculates the correction | amendment blood flow rate 300 [ml / min] of 10:51:53 and 10:51:54 by performing the same process. Further, the calculation unit 12 repeatedly calculates the estimated blood flow volume at other times and subtracts it from the skin blood flow volume, thereby calculating a corrected blood flow volume at each time.

  That is, the calculation unit 12 substitutes the exercise intensity [METs] at each time stored in FIG. 3 into the equation (4) and converts it into the exercise intensity [%] at each time. And the calculation part 12 calculates the estimated blood flow volume of each time shown in FIG. 9 by substituting the calculated exercise intensity [%] to Formula (6). Further, the calculation unit 12 calculates the corrected blood flow shown in FIG. 10 by subtracting the estimated blood flow shown in FIG. 9 from the skin blood flow shown in FIG.

A process in which the calculation unit 12 calculates a change in the corrected blood flow rate will be described.
The calculation unit 12 calculates a change in the corrected blood flow using the corrected blood flow calculated at different times. At this time, the calculation unit 12 substitutes the corrected blood flow rate at different times into the following formula (9) to obtain a change in the corrected blood flow rate.
G1 = (F2-F1) / 2dT (9)
G1: slope of corrected blood flow at time T, F1: corrected blood flow at time T-dT, F2: corrected blood flow at time T + dT, 2dT: difference in calculation time between F1 and F2.

  Time T is a time between the calculation times of F1 and F2. As described above, the calculation unit 12 calculates a change in the corrected blood flow rate. In the following description, the correction blood flow calculation time is assumed to be the same time as the acquisition time of the skin blood flow and exercise intensity used for calculation of the correction blood flow for the sake of simplicity.

  As the corrected blood flow at different times, for example, two corrected blood flows calculated using the skin blood flow acquired immediately before and one before and the exercise intensity may be used. Thereby, the calculation unit 12 can calculate the latest inclination among the inclinations of the corrected blood flow volume that can be calculated using the information stored in the acquisition information 21. Therefore, since the electronic device 1 performs heat stroke determination using the latest inclination, it is determined that the user has heat stroke at the earliest possible stage. You can be notified that there is a suspicion.

  For example, the calculation unit 12 substitutes the corrected blood flow of 300 [ml / min] between 10:51:53 and 10:51:54 and the difference of 1 second in the calculation time into the equation (9), respectively. A change 0 [ml / s] in the corrected blood flow rate at 10: 51: 53.5 seconds is calculated. The corrected blood flow of 300 [ml / min] at 10:51:52 and 10:51:54 and the difference of 2 seconds between the calculation times are substituted into the equation (9), respectively, and 10:51:53 A change 0 [ml / s] in the corrected blood flow rate in seconds may be calculated.

This will be described with reference to FIG.
The determination unit 13 determines whether or not the corrected blood flow rate is increasing.

A process in which the determination unit 13 determines whether or not the corrected blood flow rate tends to increase will be described.
As described above, the determination unit 13 determines that there is no change in the corrected blood flow when the calculation unit 12 calculates a change 0 [ml / s] in the corrected blood flow at 10: 51: 53.5 seconds. To do. Then, the determination unit 13 may determine that there is no suspicion of heat stroke since the corrected blood flow rate does not change at 10: 51: 53.5 seconds. In FIG. 10, 10: 51: 53.5 seconds in FIG. 3 is, for example, time T1.

This will be described with reference to FIG.
In addition, the estimated blood flow rate when the exercise intensity is 2.20 [METs] is calculated by the calculation unit 12 as 215 [ml / min] using Expression (4) and Expression (6). Then, the corrected blood flow from 11:33:04 to 06 seconds is obtained by subtracting the estimated blood flow from the skin blood flow in the calculation unit 12, respectively 370 [ml / min], 386 [ml / min], And 402 [ml / min].

  Further, the calculation unit 12 calculates the corrected blood flow 386 [ml / min] at 11:33:05, the corrected blood flow 402 [ml / min] at 11:33:06, and the calculation time in Expression (9). By substituting the difference of 1 second, the slope 16 [ml / s] of 11: 33: 05.5 seconds is obtained. At this time, the determination unit 13 determines that the corrected blood flow rate tends to increase. And when the determination part 13 determines with the correction | amendment blood flow rate having an increasing tendency, it determines with the suspicion of heat stroke.

  Further, the corrected blood flow rate at 13:13:23 to 25 seconds is obtained by subtracting the estimated blood flow amount from the skin blood flow amount in the calculation unit 12, respectively, 430 [ml / min], 414 [ml / min], And 399 [ml / min].

  Then, the calculation unit 12 calculates the corrected blood flow 415 [ml / min] at 13:13:24, the corrected blood flow 399 [ml / min] at 13:13:25, and the measurement time in Expression (9). By substituting the difference of 2 seconds, the slope 15 [ml / s] of 13: 13: 05.5 seconds is obtained. At this time, the determination unit 13 determines that the corrected blood flow rate tends to decrease. And when the determination part 13 determines with the correction | amendment blood flow rate having a decreasing tendency, you may determine with no suspicion of heat stroke.

  As described above, for example, the electronic apparatus 1 according to the embodiment obtains the estimated resting skin blood flow (corrected blood flow) illustrated in FIG. 10, and the estimated resting skin blood flow tends to increase. When there is, the determination unit 13 determines that there is a suspicion of heat stroke. Therefore, as shown in FIG. 8, the electronic device 1 determines that there is no suspicion of heat stroke when the skin blood flow is increased due to the increase in the skin blood flow due to exercise at time T1. can do.

  FIG. 11 is a diagram (part 2) illustrating an example of the skin blood flow rate. FIG. 12 is a diagram (part 2) illustrating an example of the estimated blood flow. FIG. 13 is a diagram (part 2) illustrating an example of the corrected blood flow rate.

  With reference to FIGS. 11-13, determination of heat stroke when the corrected blood flow rate tends to increase will be described.

  The calculation unit 12 uses the exercise intensity at each time stored in the acquisition information 21 (not shown) corresponding to the values shown in FIG. 11, and the equations (4), (6), and (8). The estimated blood flow volume at each time shown in FIG. Further, the calculation unit 12 calculates the corrected blood flow at each time shown in FIG. 13 by subtracting the estimated blood flow at each time shown in FIG. 12 from the skin blood flow at each time shown in FIG.

  Then, the calculation unit 12 substitutes the corrected blood flow rate at time T2-dT, the corrected blood flow rate at time T2 + dT, and the difference 2dT of the measurement time into the equation (9), and the inclination of the corrected blood flow rate at time T2. Ask for. As a result, the calculation unit 12 obtains a positive value that is the slope of the corrected blood flow rate at time T2, as shown in FIG.

  At this time, the determination unit 13 determines that there is a suspicion of heat stroke because the corrected blood flow rate tends to increase at time T2.

  FIG. 14 is a diagram (part 3) illustrating an example of the skin blood flow rate. FIG. 15 is a diagram (part 3) illustrating an example of the estimated blood flow. FIG. 16 is a diagram (part 3) illustrating an example of the corrected blood flow rate.

  With reference to FIGS. 14 to 16, the determination of heat stroke when the corrected blood flow rate is not changed, tends to increase, and decreases will be described.

  The calculation unit 12 uses the exercise intensity at each time stored in the acquisition information 21 (not shown) corresponding to the values shown in FIG. 14, and the equations (4), (6), and (8). The estimated blood flow volume at each time shown in FIG. Further, the calculation unit 12 calculates the corrected blood flow at each time shown in FIG. 16 by subtracting the estimated blood flow at each time shown in FIG. 15 from the skin blood flow at each time shown in FIG.

  Then, the calculating unit 12 substitutes the corrected blood flow rate at time T3−dT, the corrected blood flow rate at time T3 + dT, and the difference 2dT between the measurement times into Equation (9), and the slope of the corrected blood flow rate at time T3. Ask for. As a result, as shown in FIG. 16, the calculation unit 12 obtains the corrected blood flow rate gradient 0 at time T3. At this time, the determination unit 13 may determine that there is no suspicion of heat stroke because there is no change in the corrected blood flow rate at time T3.

  In addition, the calculation unit 12 substitutes the corrected blood flow rate at time T4-dT, the corrected blood flow rate at time T4 + dT, and the difference 2dT between the measurement times into Equation (9), and the slope of the corrected blood flow rate at time T4. Ask for. As a result, the calculation unit 12 obtains a positive value that is the slope of the corrected blood flow rate at time T4 as shown in FIG. At this time, the determination unit 13 determines that there is a suspicion of heat stroke because the corrected blood flow rate tends to increase at time T4.

  Further, the calculation unit 12 substitutes the corrected blood flow rate at time T5−dT, the corrected blood flow rate at time T5 + dT, and the difference 2dT between the measurement times into Equation (9), and the slope of the corrected blood flow rate at time T5. Ask for. As a result, the calculation unit 12 obtains a negative value that is the slope of the corrected blood flow rate at time T5 as shown in FIG. At this time, the determination unit 13 may determine that there is no suspicion of heat stroke because the corrected blood flow rate tends to decrease at time T5.

  The determination unit 13 may further determine whether or not the corrected blood flow is equal to or greater than a predetermined threshold value. Then, the determination unit 13 may determine that there is a suspicion of heat stroke when it is determined that the corrected blood flow rate is increasing and the corrected blood flow rate is equal to or greater than a predetermined threshold. For example, when the predetermined threshold is resting skin blood flow +100 [ml], the determination unit 13 tends to increase the corrected blood flow, and when the corrected blood flow is 400 [ml] or more, Judge that there is a suspicion. Thereby, for example, the determination unit 13 excludes an increase in the corrected blood flow accompanying a measurement error or movement between rooms with slightly different temperatures from the determination target of heat stroke, and improves the accuracy of heat stroke determination. be able to. The predetermined threshold value is a value that is appropriately set according to the user's exercise ability so that heat stroke can be accurately determined.

  The determination unit 13 may further determine whether or not the increase rate of the corrected blood flow rate is equal to or higher than a predetermined increase rate. And when the determination part 13 determines with the increase rate of correction | amendment blood flow rate being more than a predetermined increase rate, you may determine with the suspicion of heat stroke. Thereby, the determination part 13 excludes from the determination object of heat stroke about the moderate increase of the correction | amendment blood flow rate accompanying the measurement error, the movement between rooms with slightly different temperatures, etc., and improves the accuracy of heat stroke determination. be able to. The predetermined increase rate is a value that is appropriately set according to the user's exercise ability so that heat stroke can be accurately determined. The increase rate of the corrected blood flow rate corresponds to the slope of the corrected blood flow rate. In the following description, it is assumed that the increase rate of the corrected blood flow rate increases as the slope of the corrected blood flow rate increases.

  When the determination unit 13 determines that the increase rate of the corrected blood flow rate is equal to or higher than the predetermined increase rate, or the corrected blood flow rate tends to increase and the corrected blood flow rate is equal to or higher than the predetermined threshold value, It may be determined that there is a suspicion. Thereby, even if the determination part 13 provides the predetermined threshold value in the determination conditions as to whether or not it is heat stroke, for example, when a sudden heat stroke symptom occurs, it can immediately determine that it is heat stroke. it can.

This will be described with reference to FIG.
When the determination unit 13 determines that the corrected blood flow rate is increasing, the output unit 14 outputs information indicating that there is a suspicion of heat stroke. The output unit 14 also outputs information indicating that there is a suspicion of heat stroke when the determination unit 13 determines that the corrected blood flow rate tends to increase and the corrected blood flow rate is greater than or equal to a predetermined threshold value. To do. Furthermore, the output unit 14 outputs information indicating that there is a suspicion of heat stroke when the determination unit 13 determines that the increase rate of the corrected blood flow rate is equal to or greater than a predetermined increase rate. That is, the output unit 14 outputs information indicating that there is a suspicion of heat stroke when the determination unit 13 determines that it is heat stroke.

  When information indicating that there is a suspicion of heat stroke is input from the output unit 14, the display unit 30 displays information indicating that there is a suspicion of heat stroke. Thereby, the display unit 30 notifies the user that there is a suspicion of heat stroke.

FIG. 17 is a diagram illustrating an example of display of information suspected of heat stroke.
With reference to FIG. 17, the display of the information which has the suspicion of heat stroke by the display part 30 is demonstrated. In the following description, it is assumed that each display device 2 of the head mounted display 1, the wristwatch type terminal 1, and the mobile phone 1 functions as the display unit 30.

  FIG. 17A is an example in which information suspected of heat stroke is displayed on the display device 2 of the head mounted display 1. FIG. 17B is an example in which information suspected of heat stroke is displayed on the display device 2 of the wristwatch type terminal 1. FIG. 17C is an example in which information suspected of heat stroke is displayed on the display device 2 of the mobile phone 1. In addition, the display of the information with the suspicion of heat stroke in each display device 2 is an example, and may be expressed by an icon or the like.

  The electronic device 1 may include a sounding unit (not shown) that emits an alarm sound. Then, when the information indicating that there is a suspicion of heat stroke is input from the output unit 14, the sound generation unit may sound an alarm sound and notify the user that there is a suspicion of heat stroke. Further, the electronic device 1 may include a vibration unit (not shown) that vibrates the electronic device 1. Then, when information indicating that there is a suspicion of heat stroke is input from the output unit 14, the vibration unit may notify the user that there is a suspicion of heat stroke by generating vibration.

  FIG. 18 is a flowchart showing the health condition management process. 19 and 20 are flowcharts showing heat stroke determination processing.

This will be described with reference to FIG. 2 and FIG.
In the following description, it is assumed that the infrared sensor 3 processes up to the measurement of skin blood flow. Moreover, the acceleration sensor 4 shall process even the measurement of exercise intensity. However, as described above, the control unit 10 may acquire the output from the infrared sensor 3 and calculate the skin blood flow using the acquired output. Moreover, the control part 10 may acquire the output from the acceleration sensor 4, and may calculate exercise intensity using the acquired output.

  The control part 10 will start the infrared sensor 3, if the start request | requirement of a health condition management process is input from the user (S101). Further, the control unit 10 activates the acceleration sensor 4 (S102). And the control part 10 starts the heat stroke determination process demonstrated with reference to FIG. 19 and FIG. 20 (S103). Thereafter, the control unit 10 performs processing for acquiring skin blood flow and exercise intensity in S105 to S106, which will be described later, and heat stroke determination processing in parallel. Details of the heat stroke determination process will be described later.

  Next, the control part 10 determines whether the stop request | requirement was input from the user (S104). When the stop request is not input from the user (No in S104), control unit 10 acquires skin blood flow measured using infrared sensor 3 (S105). And control part 10 will store the acquired skin blood flow in acquisition information 21, if skin blood flow is acquired (S106).

  Furthermore, the control part 10 acquires the exercise intensity measured using the acceleration sensor 4 (S107). Moreover, if the control part 10 acquires exercise intensity, it will store the acquired exercise intensity in the acquisition information 21 (S108). And the control part 10 performs the process of S104.

  When the stop request is input from the user (Yes in S104), control unit 10 stops infrared sensor 3 (S110). Further, the control unit 10 stops the acceleration sensor 4 (S111). Furthermore, the control unit 10 stops the heat stroke determination process (S112). And the control part 10 complete | finishes a health condition management process. Note that the control unit 10 is not limited to S104, and if a stop request is input from the user during execution of the heat stroke determination process, the control unit 10 may execute the processes of S110 to S112 and end the heat stroke determination process. .

With reference to FIG. 19 and FIG. 20, heat stroke determination processing will be described.
This will be described with reference to FIG.

  When the heatstroke determination process is started in S103 of FIG. 18, the control unit 10 determines whether or not a stop request is input from the user (S201). And the control part 10 complete | finishes a heat stroke determination process, when the stop request | requirement is input from the user (it is Yes in S201). The control unit 10 is not limited to S201, and may end the heat stroke determination process when a stop request is input from the user during the heat stroke determination process. The stop request may be given as an interrupt request when the control unit 10 executes the process of S112 in FIG.

  When the stop request is not input from the user (No in S201), control unit 10 acquires skin blood flow from acquisition information 21 (S202). Furthermore, the control unit 10 acquires the exercise intensity associated with the skin blood flow acquired in S202 from the acquisition information 21 (S203). That is, the control unit 10 executes S202 and S203 to acquire the skin blood flow volume and the exercise intensity measured at the same time from the acquisition information 21. In addition, when executing S202 and S203, the control unit 10 acquires the skin blood flow volume, the skin blood flow volume other than the exercise intensity, and the exercise intensity acquired so far. The control unit 10 stores the new skin blood flow rate and the exercise intensity when the skin blood flow rate and the exercise intensity other than the exercise intensity acquired up to the previous time are not stored in the acquisition information 21. Wait until S201 is repeatedly executed. And the control part 10 will perform the process of S202, if the new skin blood flow rate and exercise intensity are stored.

  The control unit 10 determines whether or not the exercise intensity acquired in S203 is 50 [%] or more (S204). At this time, the control unit 10 substitutes the exercise intensity [METs] acquired in S203 into the equation (4) to convert it into exercise intensity [%].

  When the exercise intensity is less than 50 [%] (No in S204), the control unit 10 substitutes the exercise intensity [%] into Equation (6) to obtain the estimated blood flow (S205). In addition, when the exercise intensity is 50 [%] or more (Yes in S204), the control unit 10 substitutes the exercise intensity [%] into Expression (8) to obtain the estimated blood flow rate. That is, by executing S205 and S206, the control unit 10 estimates the estimated blood flow that is estimated to have increased due to exercise in the blood flow contained in the skin blood flow, according to the acquired intensity of exercise intensity. Ask for. At this time, the control unit 10 acquires the stroke volume and the heart rate corresponding to the exercise intensity acquired in S203 from the stroke information 22 and the heart rate information 23, respectively, and acquires the acquired stroke volume and heart rate. The estimated blood flow is calculated by subtracting the resting skin blood flow from the multiplied value.

  The control unit 10 calculates the corrected blood flow by subtracting the estimated blood flow from the skin blood flow (S207). The control unit 10 stores the calculated corrected blood flow volume in the storage unit 20. And the control part 10 performs the process of S208. The controller 10 stores the corrected blood flow rates at a plurality of different times in the storage unit 20 by repeatedly executing the process of S207.

This will be described with reference to FIG.
The control unit 10 determines whether corrected blood flow rates at different times have been obtained (S208). Control unit 10 executes the process of S201 in FIG. 19 when the corrected blood flow rate at a different time is not obtained (No in S208). The case where the corrected blood flow rate at different times is not obtained includes the case where the corrected blood flow rate is obtained only once in S207.

  When determining the corrected blood flow rates at different times (No in S208), the control unit 10 calculates two new corrected blood flow rates F1 and F2 having new calculation times and a difference 2dT between the two corrected blood flow calculation times. Substituting into (9), the rate of increase (slope) is calculated (S209). That is, the control unit 10 calculates a change in the corrected blood flow using the corrected blood flow calculated at different times.

  And the control part 10 determines whether the increase rate calculated by S209 is more than a predetermined increase rate (S210). When it is determined by the determination process that the increase rate of the corrected blood flow is equal to or higher than the predetermined increase rate (Yes in S210), the control unit 10 outputs information indicating that there is a suspicion of heat stroke to the display unit 30. To do. When information indicating that there is a suspicion of heat stroke is input, the display unit 30 displays information indicating that there is a suspicion of heat stroke (S211). And the control part 10 performs the process of S201 shown in FIG.

  In addition, when the rate of increase of the corrected blood flow is less than the predetermined rate of increase (No in S210), the control unit 10 issues a command to hide information indicating that there is a suspicion of heat stroke. Output to the display unit 30. When an instruction to hide information indicating that heat stroke is suspected is input, the display unit 30 hides information indicating that heat stroke is suspected (S212). And the control part 10 performs the process of S201 shown in FIG.

  The controller 10 may determine whether or not the corrected blood flow rate is increasing in S210. Then, when it is determined by the determination process that the corrected blood flow rate is increasing (Yes in S210), the control unit 10 outputs information indicating that there is a suspicion of heat stroke to the display unit 30. good. In addition, when it is determined by the determination process that the corrected blood flow rate does not tend to increase (No in S210), the control unit 10 displays a command to hide information indicating that there is a suspicion of heat stroke. 30 may be output.

  Further, in S210, the control unit 10 may determine whether or not the corrected blood flow rate is increasing and the corrected blood flow rate is greater than or equal to a predetermined threshold value. Then, when it is determined by the determination process that the corrected blood flow tends to increase and the corrected blood flow is greater than or equal to a predetermined threshold (Yes in S210), the control unit 10 is suspected of heat stroke. May be output to the display unit 30. Further, when it is determined by the determination process that the corrected blood flow does not tend to increase or the corrected blood flow is not equal to or greater than a predetermined threshold (No in S210), the control unit 10 indicates that there is a suspicion of heat stroke. A command for hiding the information to be displayed may be output to the display unit 30.

FIG. 21 is a block diagram illustrating an embodiment of a computer device.
With reference to FIG. 21, a configuration of the computer apparatus 100 (electronic device 1) will be described.

  In FIG. 21, the computer apparatus 100 includes an application CPU 101, a sub processor 102, a voice DSP 103, an ISP 104, a communication CPU 105, a NAND 106, and a RAM 107. The computer apparatus 100 also includes an input / output interface 108, a touch panel 109, a communication interface 110, a wireless LAN interface 111, and a short-range wireless interface 112. Furthermore, the computer apparatus 100 includes an infrared sensor 3, an acceleration sensor 4, a heart rate sensor 113, a GPS 114, and a microphone 115. The computer apparatus 100 includes an LCD 116, a speaker 117, a vibrator 118, and a camera 119. The communication I / F 110 is connected to the network 123. In addition, the computer device 100 includes a reading device 120. Each component is connected by a bus 122.

  The application CPU 101 controls the entire computer device 100. The sub processor 102 performs arithmetic processing using values measured by various sensors. The audio DSP 103 performs audio signal processing. The ISP 104 performs image signal processing including processing for generating an image to be displayed on the LCD 116 and processing for converting an image input from the camera 119. The communication CPU 105 performs communication signal processing including data transmission / reception processing using the communication I / F 110. CPU is an abbreviation for Central Processing Unit. DSP is an abbreviation for Digital Signal Processor. ISP is an abbreviation for Image Signal Processor.

  The application CPU 101, the sub processor 102, the audio DSP 103, the ISP 104, and the communication CPU 105 are, for example, a CPU, a multi-core CPU, an FPGA, a PLD, and the like. FPGA is an abbreviation for Field Programmable Gate Array. PLD is an abbreviation for Programmable Logic Device. In the following description, the application CPU 101, the sub processor 102, the audio DSP 103, the ISP 104, and the communication CPU 105 are also referred to as a processor.

  For example, the application CPU 101 functions as the control unit 10 in FIG. For example, the sub processor 102 functions as the acquisition unit 11 in FIG. However, the assignment of the function to each processor is an example, and each processor may be realized by appropriately sharing various functions of the control unit 10.

  When the sub processor 102 functions as the acquisition unit 11, the sub processor 102 acquires the output from the infrared sensor 3, substitutes the output infrared light amount and the received infrared light amount into the equation (1), and calculates the skin blood flow rate. Also good. Further, when the sub processor 102 functions as the acquisition unit 11, the sub processor 102 may acquire an output from the acceleration sensor 4, obtain an acceleration value, substitute the acceleration value in Expression (2), and calculate the exercise intensity. Then, the application CPU 101 may acquire the calculated skin blood flow rate and exercise intensity as the respective measurement values from the sub processor 102.

  The acquired information 21, the output information 22, the heart rate information 23, the expressions (1) to (9), the predetermined threshold, the predetermined increase rate, and the various values calculated by the processor are: For example, it may be stored in a cache (not shown) of the CPU, FPGA, and PLD.

  The NAND 106 is a storage device that stores various data. The RAM 107 is a storage device used as a work area for each processor. RAM is an abbreviation for Random Access Memory.

  The computer apparatus 100 may include not only the NAND 106 and the RAM 107 but also a ROM and an HD (not shown) as a storage device. The ROM may store a program such as a boot program. The HD may store an OS, an application program, a program such as firmware, and various data. ROM is an abbreviation for Read Only Memory. HD is an abbreviation for Hard Disk.

  Then, for example, the NAND 106 functions as the storage unit 20 in FIG. 2, and includes the output information 22, the heartbeat information 23, the expressions (1) to (9), a predetermined threshold, and a predetermined increase rate. Remember. Furthermore, NAND106 memorize | stores the health condition management program which functions application CPU101 as the control part 10, for example. In addition, for example, the RAM 107 functions as the storage unit 20 in FIG. 2 and stores the acquisition information 21 and various values calculated by the processor. The allocation of the information stored in each storage device is an example, and each storage device calculates the acquired information 21, the output information 22, the heart rate information 23, equations (1) to (9), and the processor. Some or all of the various values, the predetermined threshold value, and the predetermined increase rate may be stored. Further, the health condition management program may be stored in an arbitrary storage device.

  When performing the health status management process, the computer device 100 reads the health status management program stored in the storage device into the RAM 107. Then, by executing the health state management program read into the RAM 107 by the application CPU 101, the computer apparatus 100 executes a health state management process including an acquisition process, a calculation process, a determination process, and an output process. To do.

  The health condition management program may be stored in a storage device included in a server on the network 123 as long as the application CPU 101 can be accessed via the communication interface 110.

  The input / output interface 108 is connected to, for example, a headphone, a speaker, a keyboard, a mouse, and the like. When a signal indicating various kinds of information is input from the connected device, the signal input via the bus 122 is input to each processor. Output. Further, when a signal indicating various information output from each processor is input via the bus 122, the input / output interface 108 outputs the signal to various connected devices. For example, the input / output interface 108 may accept an input of a start request and a stop request for a health condition management process from a user. The input / output interface 108 functions as, for example, the input / output unit 40 in FIG.

  The touch panel 109 receives a touch input via a screen of a display device such as the LCD 116. When touch panel 109 receives a touch input, touch panel 109 outputs the input signal to each processor. For example, the touch panel 109 may accept an input of a start request and a stop request for a health condition management process from a user. The touch panel 109 functions as the input / output unit 40 in FIG.

  The communication interface 110 connects the computer apparatus 100 and other apparatuses via a network 123 so that they can communicate with each other. The communication interface 110 functions as the transmission / reception unit 50 in FIG.

  The wireless LAN interface 111 is an interface having a wireless LAN function. For example, the wireless LAN interface 111 may support Wi-Fi (registered trademark) as a wireless LAN standard.

  The short-range wireless interface 112 is an interface having a short-range wireless communication function. The short-range wireless interface 112 may support, for example, Bluetooth (registered trademark) as a short-range wireless communication standard.

  The infrared sensor 3 is, for example, a contact type sensor. The infrared sensor 3 detects the output infrared light amount and the received infrared light amount, and outputs the output infrared light amount and the received infrared light amount to the processor. The infrared sensor 3 may process up to the measurement of skin blood flow. At this time, the infrared sensor 3 outputs the measured skin blood flow to the processor. And the infrared sensor 3 functions as the 1st sensor 60 in FIG. 2, for example.

  The acceleration sensor 4 detects a three-dimensional acceleration and outputs an XYZ component of the detected acceleration to the processor. The acceleration sensor 4 may process up to the measurement of exercise intensity. At this time, the acceleration sensor 4 outputs the measured exercise intensity to the processor. The acceleration sensor 4 functions as, for example, the second sensor 70 in FIG.

  The heart rate sensor 113 is, for example, a contact type sensor. The heart rate sensor 113 detects the user's heart rate. Then, the heart rate sensor 113 outputs the detected heart rate to the processor. The heart rate sensor 113 includes the infrared sensor 3, observes the amplitude of the ratio between the amount of output infrared light detected by the infrared sensor 3 and the amount of received infrared light, and the amplitudes of peaks and valleys greater than or equal to a predetermined value have a predetermined time. When it appears inside, you may count one heart rate. The heart rate sensor 113 functions as, for example, the first sensor 60 and the second sensor 70 in FIG. 2 by combining with the output information 22 and the heart rate information 23.

  The GPS 114 is a system that measures the current position of the computer apparatus 100 using radio waves received from GPS satellites. GPS is an abbreviation for Global Positioning System.

The microphone 115 picks up the sound and outputs it to the voice DSP 103.
The LCD 116 is a display device 2 that displays various types of information. The LCD 116 functions as the display unit 30 in FIG. The display device 2 is not limited to the LCD 116, and may be various displays such as an organic EL display and a PDP. LCD is an abbreviation for Liquid Crystal Display. An organic EL display is an abbreviation for Organic Electro Luminescence Display. PDP is an abbreviation for Plasma Display Panel.

  The speaker 117 outputs various sounds such as music, alarm sound, and sound in response to a request from the processor. The speaker 117 functions as a sounding unit (not shown), for example.

  The vibrator 118 is, for example, a small motor having a weight with its center of gravity biased on a shaft, and the computer device 100 is vibrated by rotating the weight in response to a request from the processor. And the vibrator 118 functions as a vibration part which is not illustrated, for example.

  The camera 119 shoots an image with an image sensor using an image sensor such as a CCD or CMOS and outputs the image to the ISP 104. CCD is an abbreviation for CCD Image Sensor. CMOS is an abbreviation for Complementary MOS.

  The reading device 120 is controlled by the processor and reads / writes data on the removable recording medium 121. The reading device 120 is a non-temporary recording medium such as FDD, CDD, DVDD, BDD, and USB. FDD is an abbreviation for Floppy Disk Drive. CDD is an abbreviation for Compact Disc Drive. DVDD is an abbreviation for Digital Versatile Disk Drive. BDD is an abbreviation for Blu-ray (registered trademark) Disk Drive. USB is an abbreviation for Universal Serial Bus.

  The recording medium 121 stores various data. The recording medium 121 stores a health condition management program, for example. Furthermore, the recording medium 121 may store the acquisition information 21, the beat information 22, and the heart rate information 23 shown in FIG. The recording medium 121 may store formulas (1) to (9), various values calculated by the processor, a predetermined threshold, and a predetermined increase rate.

  The recording medium 121 is connected to the bus 122 via the reading device 120, and the processor controls the reading device 120 to read / write data. Thereby, the data stored in the recording medium 121 may be written in the storage device. The recording medium 121 is, for example, an FD, CD, DVD, BD, flash memory, or the like. FD is an abbreviation for Floppy Disk. CD is an abbreviation for Compact Disc. DVD is an abbreviation for Digital Versatile Disk. BD is an abbreviation for Blu-ray (registered trademark) Disk.

  The network 123 is, for example, a LAN, wireless communication, the Internet, or the like, and connects the computer apparatus 100 and other apparatuses for communication.

  As described above, the electronic apparatus 1 according to the embodiment obtains the skin blood flow volume (estimated blood flow volume) estimated to have increased due to exercise according to the intensity of exercise intensity. Then, the electronic device 1 calculates the estimated resting skin blood flow (corrected skin blood flow) by subtracting the corrected blood flow from the skin blood flow measured by the infrared sensor 3. The electronic device 1 determines that there is a suspicion of heat stroke when the estimated skin blood flow tends to increase. Thereby, the electronic device 1 enables heat stroke determination in consideration of an increase in blood flow due to exercise.

  The electronic device 1 according to the embodiment stores stroke information 22 indicating the relationship between stroke volume and exercise intensity, and heart rate information 23 indicating the relationship between heart rate and exercise intensity. Moreover, the electronic device 1 acquires the stroke volume and the heart rate corresponding to the acquired exercise intensity from the pulse information 22 and the heart rate information 23, respectively. Then, the electronic device 1 calculates the estimated blood flow by subtracting the resting skin blood flow from the value obtained by multiplying the acquired stroke volume and the heart rate. Therefore, the electronic device 1 calculates the corrected blood flow rate only by acquiring the exercise intensity, and enables heat stroke determination in consideration of the increase in the blood flow rate due to exercise.

  According to one aspect, the electronic device 1 according to the embodiment has information indicating that there is a suspicion of heat stroke when it is determined that the corrected blood flow tends to increase and the corrected blood flow is equal to or greater than a predetermined threshold. Is output. Thereby, the electronic device 1 can exclude the increase in the corrected blood flow accompanying the measurement error or the movement between rooms having slightly different temperatures from the object of heat stroke determination, and improve the heat stroke determination accuracy. it can.

  According to one aspect, the electronic device 1 according to the embodiment outputs information indicating that there is a suspicion of heat stroke when the increase rate of the corrected blood flow rate is determined to be equal to or higher than a predetermined increase rate. As a result, the electronic device 1 excludes the moderate increase in the corrected blood flow associated with the measurement error and the movement between rooms with slightly different temperatures from the subject of heat stroke determination, and improves the accuracy of heat stroke determination. be able to.

  According to the electronic device 1 of the embodiment, according to one aspect, the increase in the corrected blood flow rate is equal to or higher than a predetermined increase rate, or the corrected blood flow rate tends to increase and the corrected blood flow rate is equal to or higher than a predetermined threshold When it is determined, information indicating that there is a suspicion of heat stroke is output. Thereby, even if the determination part 13 provides the predetermined threshold value in the determination conditions as to whether or not it is heat stroke, for example, when a sudden heat stroke symptom occurs, it can immediately determine that it is heat stroke. it can.

  In addition, this embodiment is not limited to embodiment described above, A various structure or embodiment can be taken in the range which does not deviate from the summary of this embodiment.

DESCRIPTION OF SYMBOLS 1 Electronic device 2 Display apparatus 3 Infrared sensor 4 Acceleration sensor 5 Sensor terminal 10 Control part 11 Acquisition part 12 Calculation part 13 Determination part 14 Output part 20 Storage part 30 Display part 40 Input / output part 50 Transmission / reception part 60 1st sensor 70 2nd Sensor 100 Computer device

Claims (8)

An acquisition unit for acquiring a first blood flow of blood flowing in a blood vessel in the skin measured using the first sensor and an exercise intensity measured using the second sensor;
According to the intensity of the exercise intensity, a second blood flow estimated to have increased due to exercise is obtained from the blood flow contained in the first blood flow, and the second blood flow is obtained from the first blood flow. Calculating a third blood flow volume by subtracting, and using the third blood flow volume calculated at different times to calculate a change in the third blood flow volume;
A determination unit for determining whether or not the third blood flow rate is increasing;
An output unit that outputs information indicating that there is a suspicion of heat stroke when the determination unit determines that the third blood flow volume is increasing; and
An electronic device comprising: The electronic device further includes:
Stroke information indicating the relationship between the stroke volume, which is the volume of blood pumped from the ventricle with one contraction, and the intensity of exercise intensity, and the heart rate, which is the number of times the heart beats within a certain period of time And a storage unit for storing heart rate information indicating the relationship between the intensity of exercise intensity,
The calculation unit includes:
The stroke volume and heart rate corresponding to the exercise intensity measured using the second sensor are acquired from the stroke information and the heart rate information, respectively, and the acquired stroke volume and the heart rate are acquired. The electronic device according to claim 1, wherein the second blood flow rate is calculated by subtracting the resting skin blood flow rate from a value obtained by multiplying the number by a number. The determination unit further includes:
Determining whether the third blood flow is greater than or equal to a predetermined threshold;
The output unit is
When the determination unit determines that the third blood flow rate tends to increase and the third blood flow rate is equal to or greater than a predetermined threshold, information indicating that there is a suspicion of heat stroke is output. The electronic apparatus according to claim 1, wherein the electronic apparatus is characterized in that: The determination unit further includes:
Determining whether the increase rate of the third blood flow is equal to or greater than a predetermined increase rate;
The output unit is
The information which shows that there exists a suspicion of heat stroke is output when the determination part determines with the increase rate of the said 3rd blood flow rate being more than a predetermined increase rate. The electronic device as described in any one of. Obtaining a first blood flow of blood flowing in a blood vessel in the skin measured using the first sensor;
Obtaining the exercise intensity measured using the second sensor;
In accordance with the acquired intensity of the exercise intensity, the second blood flow estimated to have increased due to the exercise is obtained in the blood flow included in the first blood flow,
Calculating a third blood flow by subtracting the second blood flow from the first blood flow;
Using the third blood flow calculated at different times, the change in the third blood flow is calculated,
Determining whether the third blood flow tends to increase;
A health condition management program that causes a computer to execute a process of outputting information indicating that there is a suspicion of heat stroke when it is determined by the determination process that the third blood flow rate is increasing. The computer
Stroke information indicating the relationship between the stroke volume, which is the volume of blood pumped from the ventricle with one contraction, and the intensity of exercise intensity, and the heart rate, which is the number of times the heart beats within a certain period of time And a storage unit for storing heart rate information indicating the relationship between the intensity of exercise intensity,
The process executed by the computer further includes:
The stroke volume and the heart rate corresponding to the exercise intensity measured using the second sensor are obtained from the stroke information and the heart rate information, respectively, and the obtained stroke volume and the heart rate are obtained. The health condition management program according to claim 5, further comprising: calculating the second blood flow rate by subtracting the resting skin blood flow rate from a value obtained by multiplying. The determination process further includes:
Determining whether the third blood flow is greater than or equal to a predetermined threshold;
The output process is:
When it is determined by the determination process that the third blood flow rate is increasing and the third blood flow rate is equal to or greater than a predetermined threshold, information indicating that there is a suspicion of heat stroke is output. The health condition management program according to claim 5 or 6, characterized by the above. The determination process further includes:
Determining whether the increase rate of the third blood flow is equal to or greater than a predetermined increase rate;
The information indicating that there is a suspicion of heat stroke is output when it is determined by the determination process that the increase rate of the third blood flow is equal to or higher than a predetermined increase rate. The electronic device as described in any one of.

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