JP2011161079A - Motion index measuring method and device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To measure motion indices intuitively understandably. <P>SOLUTION: A motion index measuring device includes: a heartbeat remaining power calculation part 104 for calculating relative heartbeat remaining power according to a maximum value of a pulse and pulse count while resting, measured by a pulse measurement part 101 during three minutes' measurement time from the time when a subject starts walking; a corrected walking distance calculation part 105 for calculating corrected walking distance after correcting walking distance according to a walking distance measured by a walking distance measurement part 102 within a measurement time and the relative heartbeat remaining power calculated by the heartbeat remaining power calculation part 104; and a physical strength age calculation part 106 for calculating a physical strength age according to the corrected walking distance calculated by the corrected walking distance calculation part 105 and coefficients set in response to a gender stored in a subject information storage part 103. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an exercise index measurement method and apparatus for measuring a physical strength state of a subject by exercise.

  In recent years, the number of people exercising for health promotion is increasing. When exercising, exercising below a certain intensity is meaningless, but exercising above a certain intensity involves the risk of injury. For this reason, it is important to exercise at an appropriate intensity for avoiding injuries, and vital information such as pulse is required to be monitored during exercise.

  In addition, lifestyle-related diseases such as diabetes, hypertension, and dyslipidemia, which are common in middle-aged and older groups, are said to have a large relationship with daily lifestyles such as eating habits and lack of exercise. Therefore, for the purpose of preventing lifestyle-related diseases, the Ministry of Health, Labor and Welfare is obliged to conduct a specific health checkup for insured persons or dependents aged 40 to 74 years from 2008. In addition, the Ministry of Health, Labor and Welfare is obligated to implement specific health guidance for those who have been diagnosed with metabolic syndrome and this reserve group through a specific health checkup.

  The specific health guidance mentioned above also includes exercise guidance, and it is important for the subject himself to understand the state of the subject's body during the guidance. Has been. This has the aspect which expects that the motivation to a subject's exercise | movement will be heightened by grasping | ascertaining a body state. It is known that the improvement of motivation will change the behavior of the subject.

  Against the background described above, various devices have been developed for acquiring a body state (vital information) such as a pulse. For example, there are a pulse meter and a pedometer. As a pulsometer, a device that measures a pulse with a photoelectric sensor attached to an ear, transmits it in real time to a wired main body, and displays a heart rate on a display is sold (see Non-Patent Document 1). ). As pedometers, devices that are worn on the waist or carried in pants pockets are sold (see Non-Patent Document 2).

http://www.cateye.co.jp/products/ec/pl6000.html http://www.healthcare.omron.co.jp/product/hj710it_1.html

  However, in the device described above, changes in pulse rate during exercise, the number of steps, walking (exercise) distance, etc. are indicated as indices, but these values intuitively understand the state (change) of body improvement (deterioration). There is a problem that it is not easy to do. For this reason, an exercise index that is more intuitive and easy to understand is required.

  The present invention has been made to solve the above-described problems, and an object thereof is to make it possible to measure an intuitively easy-to-understand exercise index.

  The motion index measurement method according to the present invention includes a pulse measurement step for measuring a pulse of a subject within a measurement time of 3 minutes after the subject starts walking, and a distance at which the subject walks within the measurement time. A walking distance measurement step, a heart rate margin calculation step for calculating a relative heart rate based on a maximum value of the subject's pulse measured within the measurement time and a set resting pulse rate, and a measurement within the measurement time. Corrected walking distance calculation step for calculating a corrected walking distance by correcting the walking distance based on the calculated walking distance and the calculated relative heart rate surplus, and a coefficient set corresponding to the calculated corrected walking distance and the gender of the subject At least a physical fitness age calculating step for calculating physical fitness age.

In the exercise index measurement method, in the heart rate surplus calculation step, the maximum pulse rate is HR _exec , the resting pulse rate is HR _rest , 220−the age of the subject + the set constant is HR _max , {(HR _exec -HR _rest ) / (HR _max -HR _rest )} × 100, and in the corrected walking distance calculation step, the relative heart rate remaining power is set as% HR _reserve , and the walking distance is set as r. P and s, and the corrected walking distance is calculated by p × (% HR _reserve −s) + r. Further, in the physical fitness age calculation step, the physical fitness age as a male may be calculated from −1.19 × corrected walking distance + 470, and the physical fitness age as a woman may be calculated from −0.79 × corrected walking distance + 301.

  In the exercise index measurement method, in the walking distance measurement step, the walking distance may be calculated based on the set step length of the target person and the number of steps measured within the measurement time. In the walking distance measurement step, the walking distance may be calculated based on a change in the position of the subject within the measurement time measured by GPS. In the walking distance measurement step, the measurement distance may be calculated from the acceleration due to the movement of the subject detected within the measurement time.

  In addition, the motion index measuring device according to the present invention includes a pulse measuring unit that is attached to the subject and measures the pulse of the subject, a walking distance measuring unit that is attached to the subject and measures the walking distance of the subject, The subject information storage unit storing subject information including the subject's sex and resting pulse rate, and the pulse measured by the pulse measuring means within the measurement time of 3 minutes after the subject starts walking The heart rate remaining power calculation means for calculating the relative heart rate remaining capacity based on the maximum value and the resting pulse rate, the walking distance measured by the walking distance measurement means within the measurement time, and the relative heart rate calculated by the heart rate remaining capacity calculation means Corrected walking distance calculating means for calculating the corrected corrected walking distance, the corrected walking distance calculated by the corrected walking distance calculating means, and the coefficient set corresponding to the sex stored in the subject information storage unit It includes a physical age calculating means for calculating a more physical age, and display means for displaying the physical age of the physical age calculation means has calculated, at least.

In the above motion index measuring apparatus, the heart rate surplus power calculating means sets HR _{exec as} the maximum pulse rate, HR _rest as the resting pulse rate, 220-age of the subject + a set constant as HR _max , {(HR _exec -HR _rest ) / (HR _max -HR _rest )} × 100, and the corrected walking distance calculation means is set with the relative heart rate remaining power as% HR _reserve and the walking distance as r. P and s, and the corrected walking distance is calculated by p × (% HR _reserve −s) + r. The physical fitness age calculating means calculates physical fitness age as a male by -1.19 × corrected walking distance + 470,

  The exercise index measuring apparatus may include wireless transmission means for wirelessly transmitting pulse data measured by the pulse measurement means to the heart rate surplus power calculation means.

  In the above movement index measuring device, the walking distance measuring means includes a step number measuring means for measuring the number of steps the subject has walked, and walks based on the set step length and the number of steps measured by the step number measuring means within the measurement time. What is necessary is just to calculate a distance. The walking distance measuring means may include a GPS that measures the position of the subject, and may calculate the walking distance based on a change in the position of the subject within the measurement time measured by the GPS. The walking distance measuring means may include acceleration detecting means for detecting acceleration generated by the movement of the subject, and the walking distance may be calculated from the acceleration detected by the acceleration detecting means within the measurement time.

  The exercise index measuring apparatus may further include an external device wireless transmission unit that wirelessly transmits the physical strength age calculated by the physical strength age calculation unit to the external device.

  As described above, according to the present invention, the corrected walking distance calculated by correcting the walking distance based on the walking distance measured within the measurement time and the calculated relative heart rate surplus, and the calculated corrected walking distance and the target are calculated. Since the physical fitness age is calculated based on the coefficient set corresponding to the gender of the person, it is possible to obtain an excellent effect that an intuitively easy-to-understand exercise index can be measured.

It is a block diagram which shows the structure of the movement parameter | index measuring apparatus in Embodiment 1 of this invention. It is a flowchart explaining the exercise | movement index measurement method in Embodiment 1 of this invention. It is explanatory drawing explaining the application example of the movement parameter | index measuring apparatus in Embodiment 1 of this invention. It is a block diagram which shows the structure of the movement parameter | index measuring apparatus in Embodiment 2 of this invention. It is explanatory drawing explaining the application example of the movement parameter | index measuring apparatus in Embodiment 2 of this invention. It is a block diagram which shows the structure of the movement parameter | index measuring apparatus in Embodiment 3 of this invention. It is explanatory drawing explaining the application example of the movement parameter | index measuring apparatus in Embodiment 3 of this invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[Embodiment 1]
First, Embodiment 1 of the present invention will be described. FIG. 1 is a configuration diagram showing the configuration of the motion index measurement device according to Embodiment 1 of the present invention. This motion index measuring device is firstly equipped with a pulse measuring unit 101 that is worn by a subject (user) and measures the pulse of the subject, and a walking distance measuring unit that is worn by the subject and measures the walking distance of the subject. 102 and a subject information storage unit 103 in which subject information including the subject's gender and resting pulse rate is stored.

  In addition, this motion index measuring device calculates the relative heart rate surplus based on the maximum pulse value and the resting pulse rate measured by the pulse measuring unit 101 within the measurement time of 3 minutes after the subject starts walking. Heart rate remaining power calculation unit 104 and corrected walking distance calculation that calculates a corrected walking distance corrected by walking distance measured by walking distance measured by walking distance measurement unit 102 within the measurement time and relative heart rate remaining power calculated by heart rate remaining power calculation unit 104 Unit 105, and a physical fitness age calculating unit 106 that calculates physical fitness age based on the corrected walking distance calculated by the corrected walking distance calculating unit 105 and the coefficient set corresponding to the sex stored in the subject information storage unit 103. And a display unit 107 for displaying the physical fitness age calculated by the physical fitness age calculation unit 106.

  The pulse measuring unit 101 has, for example, a built-in time measuring function, and outputs a pulse value measured by measuring a subject's pulse for 3 minutes from the start of measurement. The pulse value is output every second, for example.

The heart rate remaining power calculation unit 104 calculates the relative heart rate remaining rate% HR _reserve by, for example, “% HR _reserve = {(HR _exec −HR _rest ) / (HR _max −HR _rest )} × 100”. HR _exec is the maximum value of the pulse, and HR _rest is the pulse rate at rest. HR _max is a value represented by “HR _max = 220−subject's age + α”. Α is a factor (constant) related to age. Relative heart rate remaining power% HR _reserve indicates what percentage of the difference between the maximum pulse rate and the resting pulse rate the substantial increase due to the heartbeat exercise.

Also, for example, the corrected walking distance calculation unit 105 calculates the corrected walking distance by “corrected walking distance = p × (% HR _reserve −s) + r”. Note that r is a walking distance, and p and s are set constants.

  Here, the corrected walking distance will be described.

  First, the body condition of the subject has been grasped by a test method called the “3-minute walking test” that has been studied by the Ministry of Health, Labor and Welfare's Exercise Requirements / Exercise Guidelines Review Committee. Exercise guidelines 2006 Exercise requirements / exercise guidelines development review meeting (See July 2006).

  In the “3-minute walking test”, first, the subject walks for 3 minutes with an exercise intensity that feels “slightly tight”, and the distance traveled by this 3-minute walking (walking distance) and the above-mentioned formulation study meeting Understand the condition of the subject's body by comparing with the relationship of distance and age recommended in. The relationship between distance and age recommended by the study group is shown in the table below.

Here, the inventors' experiments revealed that the walking distance can be expressed by “walking distance = p ×% HR _reserve + q” using the relative heart rate remaining power% HR _reserve . Note that p and q are constants.

In addition, although the motion index measurement according to the present embodiment is performed by walking the subject for 3 minutes, the state in which the exercise intensity in the walking is felt “slightly tight” by the subject is a relative heart rate. It can be set as a surplus power constant s, and has been found to be a numerical value between 40 and 70, for example. This varies depending on the daily exercise frequency of the subject. Further, it has been found that the constant s is 50 for the specific health guidance subject. From these findings, it was found that the corrected walking distance can be calculated by “corrected walking distance = p × (% HR _reserve −s) + r”.

  Further, for example, the physical fitness age calculation unit 106 calculates the physical fitness age by “physical fitness age = −1.19 × corrected walking distance + 470” for men, and “physical fitness age = −0.79 × correction” for women. The physical fitness age is calculated from “walking distance + 301”. This is an equation set based on the recommended walking distance shown in the table above. By performing linear regression with the explanatory variable as walking distance (corrected walking distance) and the explained variable as age (physical age) Can be set.

  In addition, the walking distance measuring unit 102 includes, for example, a step count measuring function for measuring the number of steps taken by the subject, and the walking distance is determined by the step length measured by the step count measuring function within the set target step length and measurement time. calculate. The walking distance can be obtained by multiplying the step length by the number of steps.

  In addition, the walking distance measurement unit 102 includes, for example, a known GPS (Global Positioning System) that measures the position of the subject, and the walking distance is determined by the change in the position of the subject within the measurement time measured by the GPS. It is good also as a structure to calculate.

  The walking distance measurement unit 102 may include an acceleration detection function that detects acceleration generated by the movement of the subject, for example, and may calculate the walking distance from the acceleration detected by the acceleration detection function within the measurement time.

  Next, the operation (exercise index measurement method) of the exercise index measurement device in the present embodiment will be described using the flowchart of FIG.

  First, in step S201, the pulse measurement unit 101 starts measuring a pulse when measurement is started. When 3 minutes have elapsed from the start of measurement (step S202), the walking distance measuring unit 102 measures (calculates) the distance the subject has moved within 3 minutes (within the measurement time) (step S203). Next, in step S204, the remaining heart rate calculating unit 104 calculates a relative remaining heart rate based on the maximum pulse value and the resting pulse rate measured by the pulse measuring unit 101 within the measurement time. A value stored in the subject information storage unit 103 is used as the resting pulse rate.

  Next, in step S205, the corrected walking distance calculation unit 105 corrects the walking distance based on the walking distance measured by the walking distance measurement unit 102 within the measurement time and the relative heart rate remaining power calculated by the heart rate remaining power calculation unit 104. The corrected walking distance is calculated. Next, in step S <b> 206, the physical fitness age calculation unit 106 calculates the physical fitness age based on the calculated corrected walking distance and the coefficient set corresponding to the gender stored in the subject information storage unit 103. Thereafter, the calculated physical strength age is displayed on the display unit 107.

  According to the present embodiment described above, the age of physical fitness is measured and indicated as an exercise index (body condition index), so the current physical condition (physical strength) of the user is shown in a state converted to age. Intuitive grasping is possible. For example, the exercise intensity can be adjusted by comparing the measured physical strength age with the actual age.

  For example, since the current state of the physical strength of the user can be grasped based on the physical strength age measured according to the present embodiment, exercise training with an optimal exercise intensity for the user can be performed. Moreover, if the said measurement is performed again after exercise training, the effect of exercise training can be evaluated. In addition, since such an evaluation result can be easily obtained, it is possible to give the user motivation for continuing exercise training over a long period of time, which can lead to health improvement.

  By the way, at the time of the exercise | movement (walking) for performing the measurement mentioned above, it is desired not to prevent a user's body movement. For this purpose, for example, the pulse data measured by the pulse measuring unit 101 may be transmitted to the heart rate surplus power calculating unit 104 by wireless communication. In the measurement of walking distance, for example, the measurement result by a pedometer or GPS may be transmitted by wireless communication.

  For example, as shown in the explanatory diagram of FIG. 3, a pulsometer, a pedometer, or the like is attached to the subject as a slave sensor. On the other hand, a walking distance measuring unit 102, a subject information storage unit 103, a heart rate remaining power calculating unit 104, a corrected walking distance calculating unit 105, a physical strength age calculating unit 106, and the like are provided as a master device. With these configurations, the above-described exercise index measurement may be performed by performing wireless communication between the slave sensor and the master device. Moreover, you may make it use the blood pressure meter which measures a blood pressure as a slave sensor.

[Embodiment 2]
Next, a second embodiment of the present invention will be described. FIG. 4 is a configuration diagram showing the configuration of the motion index measurement device according to the second embodiment of the present invention. The motion index measuring device of the present embodiment includes a pulse meter 400 as a slave sensor and a master device 410.

  The pulse meter 400 includes a sensor unit 401, a pulse data processing unit 405, a wireless transmission / reception unit (wireless transmission means) 406, a power source 407, and an antenna 408. The sensor unit 401, the pulse data processing unit 405, the wireless transmission / reception unit 406, and the power source 407 are connected by, for example, a well-known bus. The sensor unit 401 includes a light source (LED) 402, a light receiving unit 403, and a clip 404. The sensor unit 401 is mounted with a clip 404 between the user's ear shells.

  The sensor unit 401 is, for example, a well-known ear hook type. Measurement with a finger or the like is also possible, but in this case, a failure signal (imaginary signal) is likely to be added to the pulse wave signal due to arm swing during exercise or the like. It is also known that a failure signal is added by moving a finger. On the other hand, the ear as the measurement site cannot be considered to be moved autonomously by the user, is not easily subjected to a failure signal, and is not conscious of being worn.

  In the sensor unit 401, the light received from the light source 402 is received by the light receiving unit 403 after subtraction of absorption by hemoglobin in the capillary blood vessels. The light received by the light receiving unit 403 in this way is photoelectrically converted as a pulse waveform signal having a waveform corresponding to a pulse (pulsation) and output to the pulse data processing unit 405.

  The pulse data processing unit 405 A / D converts the received pulse waveform signal. The converted digital signal is wirelessly transmitted to the master device 410 intermittently or continuously by the wireless transmission / reception unit 406. Examples of the wireless transmission method include Bluetooth (registered trademark), Zigbee, ultra wide band (UWB), infrared light, cellular phone wireless, and specific low power wireless.

  The master device 410 includes a wireless transmission / reception unit (external device wireless transmission means) 411, a CPU 412, a memory 413, a display unit 414, an input unit 415, an accelerometer 416, an alarm unit 417, a power source 418, and an antenna 419.

  The display unit 414 is a small display device such as a liquid crystal display device, an LED display device, or an organic EL display device. The display unit 414 is provided on the main body surface of the master device 410 and displays various information such as the current time and date in addition to the information related to the measurement mode and the body condition index.

  The input unit 415 is a key input device such as a keyboard, and is provided on the main body surface of the master device 410. For example, it is used for new input and correction input of values such as time, date, age, height, weight, stride, blood pressure, inseam, muscle strength, and maximum oxygen intake. In addition to the various modes of the apparatus, for example, the clock display mode, the pulse rate display mode, the step count display mode, the walking distance display mode, and the mode for displaying the functions related to the body condition index by the input unit 415, You can select the communication mode for transferring information to and from the external device, and the input / change mode.

  In the master device 410, the CPU 412 performs control of each unit connected via the system bus, execution of various processes, calculation, and the like based on a basic program stored in the memory 413. The basic programs include: step count calculation, acceleration standard deviation calculation, walking pitch calculation, activity calculation, pulse rate calculation, acceleration pulse wave calculation, pulse interval calculation, heart rate remaining power calculation, corrected walking distance calculation, physical fitness age calculation, maximum oxygen uptake This includes quantity estimation, exercise intensity calculation, pitch control, and body condition index calculation.

  Further, the memory 413 holds values such as date / time information, user age, height, weight, stride, blood pressure, and the like. The memory 413 stores various recommended values related to the body condition index. The memory 413 also holds past measurement data, exercise index data, and body index data.

The alarm unit 417 generates an alarm sound under the control of the CPU 412 or displays an alarm message on the display unit 414 to notify the user of various state changes.
In addition, the master device 410 wirelessly transmits a command to the pulse meter 400 in order to perform measurement related to the various modes described above. These wireless transmission methods include Bluetooth, Zigbee, UWB, infrared, mobile phone radio, specific low power radio, and the like.

  The accelerometer 416 is a sensor that detects the movement of the body in the user's movement, and includes, for example, a multi-axis acceleration sensor. The body motion signal from the accelerometer 416 is converted into a digital signal in the same manner as the pulse wave waveform signal, and further subjected to FFT processing by Fourier transform. From these signal processing results obtained by the accelerometer 416, motion states such as the number of steps and walking pitch are obtained. Further, the number of steps and the walking pitch can be obtained by peak search (maximum value detection) of the body motion signal. These processes are performed by the CPU 412.

  Here, “exercise” refers to a repetitive exercise with a rhythmic property that is performed at a constant period. However, in the exercise index measurement, the number of repetitive exercises performed per unit time is important. Here, since the exercise form is running (walking), the number of steps per unit time (walking pitch or running pitch) is obtained. For example, in the case of swimming exercise, the number of strokes per unit time is obtained.

  The walking speed and walking distance can be calculated from the walking pitch determined as described above. The walking speed is obtained by the product of the walking pitch and the step length, and the walking distance is obtained by the product of the number of steps and the step length. As for the stride, data stored in the memory 413 may be used.

  Next, the correction of the stride will be described. The stride in the walking movement varies when the walking pitch changes significantly. For this reason, it is necessary to correct according to the fluctuation | variation which generate | occur | produces a stride. An example of the correction method will be described next. Regarding the correction of the stride with respect to the walking pitch, the master device 410 (CPU 412) obtains in advance the reference pitch for the exercise intensity “normal”. Next, the ratio of the pitch in the walking motion to be corrected with respect to the reference pitch is obtained, and a coefficient stored (held) in the memory 413 is used based on the obtained ratio, and this step is corrected by multiplying the stride. .

  Next, calculation of the pulse rate will be described. The pulse rate calculation is obtained by performing FFT processing or peak search on the pulse wave measured by the pulse meter 400 by the CPU 412 of the master device 410.

  The master device 410 generates the following alarm based on the basic program and various recommended values stored in the memory 413. For example, the target exercise intensity and the current exercise intensity are calculated from the set of the obtained pulse rate and exercise pitch, and the alarm unit 417 notifies / displays. In addition, an instruction to get closer to the target exercise intensity is announced. As a notification method at this time, for example, an intermittent alarm sound is generated at the target pitch interval to inform the user of the user in order to bring the user's walking closer to the target walking pitch.

  Next, the calculation operation of physical strength age as an exercise index will be described. Before starting measurement, the user inputs user information (target person information) such as age, height, weight, blood pressure, stride, inseam, and muscle strength into the master device 410. Master device 410 and pulsometer 400 measure the pulse rate at rest. The user assumed in this example is a specific health guidance target male.

  After completing the initial setting as described above, the user inputs a 3-minute walking test start command to the master device 410.

  The user starts walking with an exercise intensity of “ordinary” or higher, triggered by a start signal (start sound) from the master device 410.

  The master device 410 starts measuring the measurement time and the number of steps from the start signal. The pulse meter 400 measures the pulse wave (pulse) during the walking test over time. When 3 minutes have elapsed, the master device 410 issues an end signal and ends the step count measurement and the pulse wave measurement. In addition, the user ends the walk triggered by the end signal.

The master device 410 that has finished the measurement first calculates the walking distance from the number of steps and the step length. Next, the master device 410 calculates% HR _reserve from the measured pulse data. Next, using the calculated% HR _reserve , a corrected walking distance obtained by correcting the measured / calculated walking distance is calculated. Thereafter, the master device 410 outputs the calculated corrected walking distance and the walking distance recommended by the user age. Thereby, the user can grasp the state of his / her body.

  In addition, the master device 410 calculates the physical strength age using the calculated corrected walking distance, and displays the calculated physical strength age on the display unit 414. By knowing the age of physical strength converted into age, the user can grasp the state of his / her body more intuitively. Further, the master device 410 can refer to past data stored in the memory 413 and output this data to the display unit 414.

  By the way, various modes can be considered for the pulse meter 400 or the master device 410 serving as a slave sensor. However, it is desirable that the user does not notice that the user is wearing when exercising. For example, as shown in the explanatory diagram of FIG. 5, it is conceivable that a master device 410 using an ear-mounted pulsometer 400 and incorporating an accelerometer serving as a pedometer is worn on the waist. Further, an external device 501 typified by a mobile phone or a personal computer with a wireless communication function may be connected to the master device 410 wirelessly.

  The master device 410 extracts necessary information (stored or processed information) from the memory 413 by the CPU 412 and wirelessly transmits the information to the external device 501 intermittently or continuously from the wireless transmission / reception unit 411. The external device 501 uses the information received from the master device 410 for processing such as “secondary information processing”, “rich information display”, “DB storage”, “cloud service”, and the like.

[Embodiment 3]
Next, a third embodiment of the present invention will be described. FIG. 6 is a configuration diagram showing the configuration of the motion index measurement device according to the third embodiment of the present invention. The motion index measurement device according to the present embodiment includes a slave sensor 600 and a master device 610.

  The slave sensor 600 includes a sensor unit 601 in addition to the sensor unit 401, the data processing unit 605, the wireless transmission / reception unit 406, the power supply 407, and the antenna 408. The sensor unit 401, the data processing unit 605, the wireless transmission / reception unit 406, the power source 407, and the sensor unit 601 are connected by, for example, a well-known bus. The sensor unit 401 includes a light source (LED) 402, a light receiving unit 403, and a clip 404, and measures a pulse. The sensor unit 401 is mounted with the user's ear shell in between.

  In the sensor unit 401, the light received from the light source 402 is received by the light receiving unit 403 after subtraction of absorption by hemoglobin in the capillary blood vessels. The light received by the light receiving unit 403 in this way is photoelectrically converted as a pulse waveform signal having a waveform corresponding to a pulse (pulsation), and is output to the data processing unit 605.

  The sensor unit 601 includes a light source (LED) 602, a light receiving unit 603, and a clip 604, and is mounted on a subject's finger to measure a blood flow. The sensor unit 601 emits light from the light source 602 to the skin. The light receiving unit 603 receives scattered light from moving particles such as hemoglobin in the skin and scattered light from stationary skin tissue. The blood flow rate can be obtained from the beat signal of the received light. The light receiving unit 703 outputs the beat signal subjected to photoelectric conversion to the data processing unit 605.

  The data processing unit 605 A / D converts the received pulse waveform signal and beat signal. The converted digital signal is intermittently or continuously wirelessly transmitted to the master device 610 by the wireless transmission / reception unit 406. Examples of the wireless transmission method include Bluetooth (registered trademark), Zigbee, ultra wide band (UWB), infrared light, cellular phone wireless, and specific low power wireless.

  The master device 610 includes a wireless transmission / reception unit 411, a CPU 612, a memory 413, a display unit 414, an input unit 415, an accelerometer 416, an alarm unit 417, a power source 418, and an antenna 419.

  In the master device 610, the CPU 612 calculates blood flow data based on the digitally converted beat signal received from the slave sensor 600 based on the basic program stored in the memory 413. The CPU 612 calculates an index related to the viscosity of the blood based on the blood flow data based on the basic program stored in the memory 413. Other configurations are the same as those in the second embodiment described above.

  By the way, although various modes can be considered for the slave sensor 600 and the master device 610, it is desirable that the user does not recognize that the user is wearing when exercising. For example, as shown in the explanatory diagram of FIG. 7, as the slave sensor 600, a master device 610 using an ear-mounted pulsometer and a finger-mounted blood flow meter, and a built-in accelerometer serving as a pedometer, It can be considered to be worn on the user's waist. An external device 501 typified by a mobile phone or a personal computer with a wireless communication function may be wirelessly connected to the master device 610.

  The master device 610 extracts necessary information (stored or processed information) from the memory 413 by the CPU 612 and wirelessly transmits the information to the external device 501 intermittently or continuously from the wireless transmission / reception unit 411. The external device 501 uses the information received from the master device 610 for processing such as “secondary information processing”, “rich information display”, “DB storage”, “cloud service”, and the like.

  It should be noted that the present invention is not limited to the embodiment described above, and that many modifications can be implemented by those having ordinary knowledge in the art within the technical idea of the present invention. It is obvious. For example, in the above description, the information is displayed on the display unit. However, the present invention is not limited to this, and the measurement result may be notified by a tactile method using vibration or the like. Further, the stop of the exercise index measurement may be presented based on the comparison result between the pulse rate measured when starting the exercise index measurement and the stored resting pulse rate. For example, if the difference between the pulse rate measured at the start of the exercise index measurement and the pulse rate at rest is greater than the set value, it is determined that the subject's health status cannot withstand the exercise index measurement, Present the discontinuation of exercise index measurement.

  For example, slave sensors are not limited to measuring heart rate and blood flow, but include body weight, body temperature, body fat, electrocardiogram, electromyogram, electroencephalogram, breathing, sweating, eye movement, saturated oxygen concentration, blood sugar, pulse wave The sensor which measures etc. can be used. In addition, as an exercise index (physical condition index), physical age was explained as an example, but it is not limited to this, and walking speed, walking pitch, blood vessel age, maximum oxygen intake, body age, and stress level are measured and It is also possible to display.

  For example, the maximum oxygen uptake has been attracting attention in studies for exercise suitable for health promotion, and is frequently used for setting health intensity and exercise intensity. it can. Maximum oxygen intake is defined as the maximum amount of oxygen that can be consumed per minute, and is an index that can be used to evaluate and compare the cardiopulmonary ability of each individual. A value converted per kilogram of body weight is generally used. . From the viewpoint of maintaining health, it is recommended to keep the maximum oxygen intake above the maintenance target value.

  Various methods have been studied for estimating the maximum oxygen intake. The main ones are 12-minute running, 6-minute walking test, shuttle walking test, etc. (see Exercise Prescription Guidelines Nanedo)

  It is known that in a 12-minute run, the distance traveled with maximum effort during 12 minutes can be measured, and the maximum oxygen intake can be estimated according to the measured distance.

  In the 6-minute walking test, the distance measured by maximum effort during 6 minutes is measured, and the maximum oxygen intake can be estimated from the distance, age, weight, height, and blood pressure in this measurement. It is known that it can be done.

  In the estimation of the maximum oxygen uptake by the 6-minute walking test, first, the subject information such as age, height, weight, blood pressure, and stride is acquired. These pieces of information may be stored in a storage unit such as a memory.

  Next, the subject walks for 6 minutes with the maximum exercise intensity. At the start of this walking, measurement of a negative number is started, and the measurement of the number of steps is ended at the end. Thereby, the total number of steps for 6 minutes is obtained. In addition, a subject will complete | finish a walk, if the measurement for 6 minutes is complete | finished.

  When the total number of steps is obtained as described above, the walking distance for 6 minutes is calculated from the obtained total number of steps and the step length. Also, using the acquired age, height, weight, and blood pressure, the maximum oxygen intake is estimated based on the formula of “maximum oxygen intake = a × distance + b × age + c × body weight + d × height + e × blood pressure + f”. To do. Note that a, b, c, d, e, and f are constants. These calculations may be performed by the CPU based on a program stored in the storage unit, for example.

  By showing the maximum oxygen intake calculated as described above and the maximum oxygen intake recommended by the age of the subject to the subject, the subject can grasp the state of his / her body.

DESCRIPTION OF SYMBOLS 101 ... Pulse measuring part, 102 ... Walking distance measuring part, 103 ... Target person information storage part, 104 ... Heart rate remaining power calculating part, 105 ... Correction walking distance calculating part, 106 ... Physical strength age calculating part, 107 ... Display part.

Claims (14)

A pulse measurement step of measuring the pulse of the subject within a measurement time of 3 minutes after the subject starts walking; and
A walking distance measuring step for measuring a distance that the subject has walked within the measurement time; and
A heart rate surplus power calculation step of calculating a relative heart rate surplus power based on a maximum value of the subject's pulse measured within the measurement time and a set resting pulse rate;
A corrected walking distance calculating step of calculating a corrected walking distance obtained by correcting the walking distance by the walking distance measured within the measurement time and the calculated relative heart rate surplus power; and
A physical fitness age calculating step of calculating a physical fitness age based on the calculated corrected walking distance and a coefficient set corresponding to the sex of the subject. The method of measuring a movement index according to claim 1,
In the heart rate remaining power calculating step,
The maximum pulse is HR _exec ,
The resting pulse rate is HR _rest ,
220-Age of the subject + the set constant is HR _max ,
{(HR _exec -HR _rest ) / (HR _max -HR _rest )} × 100 to calculate the relative heart rate surplus power,
In the corrected walking distance calculating step,
The relative heart rate surplus is% HR _reserve ,
The walking distance is r,
Let p and s be set constants,
The motion index measuring method, wherein the corrected walking distance is calculated by p × (% HR _reserve −s) + r. The exercise index measurement method according to claim 1 or 2,
In the physical fitness age calculation step,
-1.19 × corrected walking distance + 470 to calculate the physical fitness age as a man,
The physical fitness age as a woman is calculated by −0.79 × corrected walking distance + 301. In the exercise | movement index measurement method of any one of Claims 1-3,
In the walking distance measuring step, the walking distance is calculated based on the set step length of the subject and the number of steps measured within the measurement time. In the exercise | movement index measurement method of any one of Claims 1-3,
In the walking distance measuring step, the walking distance is calculated based on a change in the position of the subject within the measurement time measured by GPS. In the exercise | movement index measurement method of any one of Claims 1-3,
In the walking distance measuring step, the walking distance is calculated from the acceleration due to the movement of the subject detected within the measurement time. A pulse measuring means mounted on the subject to measure the pulse of the subject;
Walking distance measuring means mounted on the subject and measuring the walking distance of the subject;
A subject information storage unit storing subject information including the sex and resting pulse rate of the subject;
A heart rate surplus force calculating means for calculating a relative heart rate surplus power based on a maximum value of the pulse measured by the pulse measuring means and the resting pulse rate within a measurement time of 3 minutes after the subject starts walking;
A corrected walking distance calculating means for calculating a corrected walking distance in which the walking distance is corrected by the walking distance measured by the walking distance measuring means and the relative heart rate remaining power calculated by the heart rate remaining power calculating means within the measurement time;
Physical fitness age calculating means for calculating physical fitness age based on the corrected walking distance calculated by the corrected walking distance calculating means and a coefficient set corresponding to the sex stored in the subject information storage unit;
An exercise index measuring apparatus comprising at least display means for displaying the physical fitness age calculated by the physical fitness age calculating means. In the movement index measuring device according to claim 7,
The heart rate remaining power calculating means includes:
The maximum pulse is HR _exec ,
The resting pulse rate is HR _rest ,
220-Age of the subject + the set constant is HR _max ,
{(HR _exec -HR _rest ) / (HR _max -HR _rest )} × 100 to calculate the relative heart rate surplus power,
The corrected walking distance calculating means includes
The relative heart rate surplus is% HR _reserve ,
The walking distance is r,
Let p and s be set constants,
The motion index measuring device, wherein the corrected walking distance is calculated by p × (% HR _reserve −s) + r. In the movement index measuring device according to claim 7 or 8,
The physical fitness age calculating means
-1.19 × corrected walking distance + 470 to calculate the physical fitness age as a man,
The physical fitness age as a woman is calculated by −0.79 × corrected walking distance + 301. In the movement index measuring device according to any one of claims 7 to 9,
An exercise index measuring apparatus comprising: wireless transmission means for wirelessly transmitting pulse data measured by the pulse measuring means to the heart rate surplus power calculating means. In the movement index measuring device according to any one of claims 7 to 10,
The walking distance measuring means includes step count measuring means for measuring the number of steps taken by the subject, and the walking distance based on the step length of the subject person set and the number of steps measured by the step count measuring means within the measurement time. A motion index measuring device for calculating In the movement index measuring device according to any one of claims 7 to 10,
The walking distance measuring means includes a GPS that measures the position of the subject, and calculates the walking distance based on a change in the position of the subject within the measurement time measured by the GPS. Indicator measuring device. In the movement index measuring device according to any one of claims 7 to 10,
The walking distance measuring unit includes an acceleration detecting unit that detects an acceleration generated by the movement of the subject, and calculates the walking distance from the acceleration detected by the acceleration detecting unit within the measurement time. Exercise index measurement device. The motion index measuring device according to any one of claims 7 to 13,
An exercise index measuring apparatus comprising: an external device wireless transmission unit that wirelessly transmits the physical strength age calculated by the physical strength age calculation unit to an external device.