JPH0257420B2 - - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION (Field of Industrial Application) The present invention relates to a physical fitness diagnostic device that is used for physical fitness diagnosis and includes an input device and an arithmetic processing device.

(Prior art) Physical fitness measurements are generally carried out at schools, etc. by measuring back muscle strength and grip strength using a muscle strength measuring device, measuring 50m running time using a stopwatch, and measuring vertical jump height using a vertical jump measuring device. However, this physical fitness measurement mainly involves collecting measurement data, and there are almost no known examples of attempting to obtain more detailed data regarding the physical strength of the subject based on these measurement data.

In addition, in some cases, climbing up and down a step and measuring the pulse after going up and down the step are incorporated into the physical fitness measurement, and the degree of recovery of the pulse after going up and down the step is calculated to determine fatigue recovery ability. There was a problem in that it was time-consuming because both the person and the person being measured had to do it themselves.

(Means for Solving the Problems) The present invention has been made for the purpose of solving the above-mentioned problems. A power detection means detects the light load power and heavy load power by performing light load exercise and heavy load exercise up to the point in time, and a pulse detection means detects the pulse before and after the load exercise, and detects the time during which the user can stand on one leg with eyes closed. an input device including an eye-closed one-leg standing time detection means, a near-point distance detection means for detecting the distance from the eyes to the near point; Calculate the light load maximum workload and heavy load maximum workload, which are the amount of work required to reach the maximum pulse rate, calculate the maximum oxygen intake, and calculate the degree of fatigue, and calculate the pulse before load exercise and after load exercise. The fatigue recovery power is calculated based on the patient's pulse, and the fatigue level, maximum oxygen intake, fatigue recovery power, standing time on one leg with eyes closed, and near point distance are calculated and compared with the data of a standard healthy person of the same sex and age as the patient. , and an arithmetic processing device for calculating the physical fitness index of the patient from these calculated values.

(Function) Therefore, when performing a physical fitness diagnosis using the physical fitness diagnostic device of the present invention, first perform light load exercise and heavy load exercise until the pulse rate reaches the set pulse rate, and then perform light load exercise using the exercise rate detection means. In addition to detecting the rate and heavy load power, the pulse detection means detects the pulse before and after the load exercise, and the time when standing on one leg with eyes closed is detected using the one leg standing means with eyes closed, and the near point distance is detected. The distance from the eye to the periapsis is detected by the means, and these data are input to the arithmetic processing means.

Next, based on the input data from the input device, the processing unit calculates the maximum oxygen intake, fatigue level, and fatigue recovery ability, and calculates these calculated values, the standing time on one leg with eyes closed, and the near point distance, and calculates the same sex as the examinee and the near point distance. Comparisons are made with data of a standard healthy person of the same age, and a body type index, which is a comparison index with the standard, is calculated from these comparison data.

(Example) Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

First, the configuration of the embodiment will be explained.

As shown in FIG. 1, the physical fitness diagnostic device of this embodiment includes an input device 20 and a microcomputer 30.
and a display device 40 are the main components.

The input device 20 includes a keyboard 21, a blood pressure monitor 22 that detects the patient's pulse and blood pressure, an ergometer 23 that detects the load power during gradual load exercise, and a stop switch 24 that detects the time spent standing on one leg with eyes closed. and a near point distance meter 25 for detecting the near point distance.

A recording device 50 is connected to each of the blood pressure monitor 22, ergometer 23, stop switch 24, and near point distance meter 25, and each device 22, 23,
When measuring at 24 and 25, this recording device 50 has an IC.
When the card 60 is set, the measured data is converted into an electrical signal and is automatically input into the IC card.

The ergometer 23 used here is
It is a bicycle-type load training device that can apply a quantitative load, and is of a gradual load type in which a constant load gradually increases over time regardless of the rotational speed of the pedals. Further, the initial load amount can be set arbitrarily.

This ergometer 23 has a built-in arithmetic circuit that calculates the power from the exercise time and the amount of work (load x travel distance), and the power is input to the IC card 60 as data.

The display device 40 is connected to the microcomputer 3
It displays data output from 0, and includes a screen display device 41 for displaying the data on a screen, and a printer 42 for printing out data.

Next, the physical fitness diagnosis performed using the physical fitness diagnostic device of this embodiment will be explained step by step (Second
(see figure).

Before making a diagnosis, one IC card 60 is prepared for each patient.

In addition, the IC card described below is the same as the IC card 6 above.
It indicates the same thing as 0, but the IC cards below have the code 60 because the input data is not the same.
Add a to j.

First, the patient's gender and age are entered into the IC card 60 using the keyboard 21 (step 1).

Next, the blood pressure and pulse rate at rest are measured using the blood pressure monitor 22, and the measurement data is input into the IC card 60a (step 2).

Next, the ergometer 23 performs a gradually increasing load exercise, and the blood pressure monitor 22 detects the load blood pressure and pulse (steps 3 to 7).

This exercise is performed in two types, light load exercise and heavy load exercise, by changing the amount of load set at the start of exercise and the load that is gradually increased.

Then, the power when the set pulse rate is reached is detected in the case of light load exercise and in the case of heavy load exercise, and the light load power and heavy load power are detected by the IC card 60c,
Input data to 60e (step 4, step 6).

In addition, heavy-load exercise should be performed after a certain period of time, for example, 10 minutes, after the end of light-load exercise, and blood pressure measurement should be performed after both light-load exercise and heavy-load exercise (step 5,
step7).

Pulse measurement is carried out from before the start of the light load exercise to after the end of the heavy load exercise, and the pulse rates before the start of the light load exercise and before the heavy load exercise are input into the IC cards 60e and 60d (step 3, step 5).

The reason why the pulse is detected after the detection of the resting venous pulse and before the start of light-load exercise is to obtain accurate data by reading the delicate pulse progress when some work is performed during this period.

Next, measure the time of standing on one leg with eyes closed and use that data.
Input data to IC card 60g (step 8).

Standing time on one leg with eyes closed is the time the patient can stand on one leg with eyes closed, and the time when the patient holds the stopwatch 24 in their hand during measurement and the time when they lift one foot off the floor and the time when both feet touch the floor. Operate the switch to measure.

Next, the near point distance is measured with the near point distance meter 25, and the data is input into the IC card (step 9).

Note that the near point distance is the distance between the eye and a point on the line of sight (near point) at which the eye can see clearly with extreme adjustment.

Then, the input data of the IC card 60j is input to the microcomputer 30, arithmetic processing is performed based on each input data, and the calculated value is inputted to the IC card 60j (step 10).

After processing the input data and arithmetic processing results input to the IC card 60j based on the display program, the microcomputer 3
0 to the screen display device 41 and displayed on the screen (step 11).

Displaying the arithmetic processing results on the screen on the screen display device 41 in this manner makes it possible to consult with an advisor on the spot.

Furthermore, the input data of the IC card 60j and the arithmetic processing results may be outputted to the printer 42 and printed out on a suitable paper to create the physical fitness diagnostic card 43 (step 7).

After the physical fitness diagnosis is completed, the IC card 60j is stored.

By storing the data of several past physical fitness tests in the IC card 60, it is possible to easily compare the current data with past data. In this case, the physical fitness diagnosis card 43 shown in FIG.
By displaying current data and past data at the same time, changes over time can be seen at a glance.

You can also delete the oldest data each time you enter new data.

The outline of the calculation process shown in FIG. 4 will be explained below.

Of the data entered into the IC card 60h,
First, the maximum pulse rate is estimated from standard data based on the sex and age (chronological age) of the patient (step 101).
And this maximum pulse, set pulse and ergometer 2
The light load maximum power and heavy load maximum power are calculated from the light load and heavy load power when the set pulse rate is reached, which is input from 3, and the pulse before the start of light and heavy load exercise, which is input from the blood pressure monitor 22. (step102,
step103). Furthermore, aerobic power (aerobic energy, or endurance) and anerobic power (anaerobic energy, or muscle strength) are calculated from these light load and heavy load maximum workloads (step 104).
step 105), and the degree of fatigue (total workload during progressively increasing load exercise) is calculated (step 106). Furthermore, the maximum oxygen intake (the amount of oxygen that can be taken into the body in one minute, hereinafter referred to as VO ₂ max) is calculated from the aerobic power and anerobic power (step 107).

Further, fatigue recovery power is calculated from the pulse before starting light load exercise and the pulse before starting heavy load exercise (step 108).

Next, the calculated values of VO ₂ max, fatigue level, and fatigue recovery power, as well as the input data of standing time on one leg with eyes closed and near point distance, are compared with the data of a standard healthy person of the same sex and age as the examinee. and VO ₂ max age, fatigue level, age, fatigue recovery ability, age, standing on one leg with eyes closed,
Calculate the periapsis distance age (step 109 to step 113).

Finally, the physical strength age of the examinee is calculated from these VO ₂ max age, fatigue level age, fatigue recovery age, eye-closed one-leg standing age, and near point distance age (step 114).

Next, the details of the calculation processing will be explained in detail.

First, from the light load (heavy load) exercise start pulse H ₀ , set pulse rate H ₁ , maximum pulse Hmax, and light load (heavy load) work rate L ₁ , calculate the light load (heavy load) by the following formula.
Maximum power Lmax (power when maximum pulse rate is reached)
(see Figure 5).

Lmax = (Hmax - H ₀ ) x L ₁ + α / H ₁ - H ₀ (α = constant) Furthermore, in addition to this light load (heavy load) maximum power, the power at the start of exercise and the gradual increase in power due to the gradual increase in load are added to this light load (heavy load) maximum power. The light load (heavy load) maximum work time (exercise time required to reach the maximum pulse rate) is calculated by taking into account the light load (heavy load) maximum work time and the light load (heavy load) maximum work rate. (Heavy load) Calculate the maximum workload.

Here, if the maximum workload for light loads is w ₁ , the maximum workload for heavy loads is w ₂ , the maximum workload for light loads is t ₁ , and the maximum workload for heavy loads is t ₂ , then the maximum workload w and the maximum workload t are As shown in Figure _{6 , the} relationship _between
It is indicated by.

Aerobic power is estimated by the slope m of the straight line w=n+mt, and anerobic power is estimated by the intercept n.

The calculation formulas for aerobic power m and anerobic power n are shown below.

m=w ₂ −w ₁ /t ₂ −t ₁ n=t ₁ w ₂ −t ₂ w ₁ /t _{1 −t} 2Fatigue degree is w=mt, w=n, t=tm (given work It is expressed as the area surrounded by

In addition, in FIG. 5, tm= _t2 , and the shaded area shows the degree of fatigue when light load exercise is performed until reaching the maximum pulse rate.

Furthermore, if aerobic power is m and anerobic power is n, VO ₂ max is calculated from the following formula.

VO ₂ max = {k ₁ (m+n) + k ₂ }×k ₃ k ₁ , k ₂ , k ₃ ; coefficient) Fatigue recovery power is the difference between the pulse rate at the start of light load exercise and the pulse rate during heavy load exercise.

To determine VO ₂ max age, first calculate the VO ₂ max relative to body weight (VO ₂ max per 1 kg of body weight), and then select the examinee's standard VO ₂ max calculated for each age.
The value closest to VO ₂ max is selected, and the age corresponding to the approximate value is calculated as the VO ₂ max age.

The degree of fatigue age is calculated by first evaluating the degree of fatigue in stages with scores based on a standard value of 0, and then summing the standard score and chronological age.

Note that the standard scores are selected based on comparison data as shown in FIG. 7, and this comparison data is stored in advance in the microcomputer for each gender and age.

FIG. 6 is a comparison data table 31 of fatigue levels under light load and maximum workload.

In addition, the fatigue recovery age, the age of standing on one leg with eyes closed, and the near point distance age are calculated by summing the standard score and the chronological age, as in the case of the fatigue level age.

Finally, the physical fitness age indicates what age the physical fitness of the examinee corresponds to that of a standard healthy person, and is calculated by the following formula.

Physical strength age = 1/5 (VO ₂ max age + fatigue level age + fatigue recovery age + age of standing on one leg with eyes closed + near point distance age) Above, the embodiments of the present invention have been described in detail with reference to the drawings. The configuration is not limited to this embodiment, and the present invention includes any design changes that do not depart from the gist of the present invention.

For example, in the embodiment, an ergometer with a built-in arithmetic circuit that calculates the power was used as the power detection means, but a time detection device such as a stop switch that detects time and time data from the time detection device are used to calculate the amount of work. An arithmetic device that takes this into account and converts it into a power may also be used.

Furthermore, a running belt-type tray middle may be used instead of a bicycle-type ergometer.

Further, in the embodiment, an IC card is used and the recording device is connected to an input device such as a blood pressure monitor or an ergometer, but data may be entered into the IC card using a keyboard without using the recording device. ,
You may also use a floppy disk or cassette tape instead of an IC card.

Further, in the embodiment, a blood pressure monitor is used as the pulse detection device, but other devices such as an electrocardiograph may be used.

In addition, in the examples, the physical fitness index was expressed as physical age, but it may be expressed as a numerical value other than age. For example,
It may be expressed as a ratio of 100±α, where standard physical strength is 100.

(Effects of the Invention) As explained above, since the physical fitness diagnostic device of the present invention is equipped with an arithmetic processing unit, error-free arithmetic processing results can be obtained in a short time. Using the physical fitness index calculated through arithmetic processing, it is possible to clearly understand the physical fitness level of the patient based on standard physical fitness.

In addition, based on the light load power and heavy load power obtained by performing light load exercise and heavy load exercise until reaching the set pulse rate, the processing unit calculates the maximum light load work and the maximum heavy load work. Since it can be calculated, it is not necessary to actually measure the maximum workload by exercising until the maximum pulse is reached, and the maximum oxygen intake and fatigue level can be detected in a short time.

In addition to the above-mentioned effects, in the example, since each data was recorded on the IC card,
Not only is it convenient to store without being bulky, but it also allows you to record data from several physical fitness tests.
Comparisons with past data can also be easily made.

Furthermore, in the embodiment, a recording device is connected to an input device such as a blood pressure monitor or an ergometer, and data detected by the input device is automatically read.
Because the data is entered into the IC card,
It is possible to shorten the time required for recording work.

Further, in the embodiment, since the load exercise is a gradually increasing load exercise, the degree of fatigue can be detected in a shorter time.

[Brief explanation of drawings]

FIG. 1 is a block diagram showing a physical fitness diagnostic device according to an embodiment of the present invention, FIG. 2 is a diagram showing a flow of physical fitness diagnosis using the device according to an embodiment of the present invention, and FIG. 3 is a diagram showing an example of a physical fitness diagnostic card. Figure 4 is a block diagram showing the outline of calculation processing, Figure 5 is a diagram showing the relationship between power and heart rate, Figure 6 is a diagram showing the relationship between maximum workload and maximum work time in progressively increasing load exercise, FIG. 7 is a diagram showing an example of a comparison data table. 20...Input device, 22...Sphygmomanometer (pulse detection device), 23...Ergometer (power detection means), 24...Stop switch (one-leg standing time detection means with eyes closed), 25...Near-point distance meter (near point distance meter) point distance detection means), 30...microcomputer (arithmetic processing unit).

Claims (1)

[Scope of Claims] 1. A power detection means for detecting light load power and heavy load power by performing light load exercise and heavy load exercise until the patient's pulse reaches a set pulse rate, and detecting the pulse rate before and after the load exercise. an input device comprising: a pulse detection means for detecting pulse rate detection; a time detection means for detecting the time for standing on one leg with eyes closed; and a near point distance detection means for detecting the distance from the eyes to the near point; Calculate the light load maximum work and heavy load maximum work, which are the amount of work required to reach the maximum pulse rate, based on the rate and heavy load power, and the pulse before the load exercise, and also calculate the maximum oxygen intake. The fatigue level is also calculated based on the pulse before and after the exercise, and the fatigue level, maximum oxygen intake, recovery from fatigue, time spent standing on one leg with eyes closed, and near point distance are examined. 1. A physical fitness diagnostic device comprising: an arithmetic processing device that performs comparison calculations with data of a standard healthy person of the same sex and age as the patient, and calculates a physical fitness index of the patient from these calculated values.