KR100900982B1 - A Method For Fitness Measurement By Measuring Signals From A Living Body - Google Patents

Abstract

The present invention relates to a method for measuring fitness by measuring a heart rate before and after a user's exercise, and includes a memory unit in which fitness information corresponding to the measured heart rate is stored and including a fitness unit including an input unit, a heart rate measuring unit, a controller, and a display unit. In the method of measuring the fitness state of the user using the measured heart rate before and after the exercise, the fitness measuring device receives the user's information through the input unit, the user's pre-exercise state of the stable state through the heart rate measuring unit After measuring the first heart rate, after measuring the second heart rate after exercising by the user's set amount, and measuring the third heart rate after the user takes a rest for a set time, the measured heart rate of the first, second, third heart rate Compute the slope of the measured value, and compares the data value of the pre-stored fitness information, it is implemented to determine the user fitness state As a result, the user's physical fitness can be measured in a shorter time than the conventional method, and physical and mental stress of the user can be greatly reduced. Can be.

Physical fitness measuring method, physical fitness measuring device, bio signal, heart rate measuring unit, heart rate measuring

Description

A method for fitness measurement by measuring signals from a living body

The present invention relates to a method for measuring physical fitness by measuring a bio-signal, and more particularly, to measure a user's physical fitness by comparing a measured heart rate and a data value of pre-stored fitness information while measuring heart rate before and after a user's exercise. By measuring, the user's fitness can be measured in a short time and simpler than the conventional method in which physical fitness was measured through excessive exercise, and in addition to being free from the mental burden of conventional excessive exercise for physical fitness measurement, Stress also relates to a method of measuring physical fitness through the measurement of vital signs that can greatly reduce.

In general, health-related fitness consists of four elements: cardiorespiratory, muscle strength / endurance, flexibility, and body composition, among which the whole body endurance is the key.

Here, general endurance is comprehensively related to oxygen absorption system such as lung, heart, blood, capillaries, oxygen utilization system of transport system or skeletal muscle tissue, and the superiority of this system endurance is determined by the ability of physical work or oxygen intake depending on aerobic energy. As the age increases, the systemic endurance decreases gradually, but the main factors besides the increase in age are the increase of body fat and weight, the reduction of muscles, the decrease in the amount of physical activity in daily life, and the increase in the morbidity rate. have.

Because of this, there are methods to check the physical fitness of the individual, such as whole body endurance measurement, student physical fitness test, exercise load test, basic physical fitness test, etc. There are five events currently conducted in the school (50m running, running in place, sit-ups forward) The physical fitness test of bending, sit-ups, long runs, and walking is a method that does not take into account the individual's physique (height, weight).

In addition, in the case of the exercise load test of the above-described physical fitness measurement method, it is an accurate test method to measure by using a variety of expensive equipment (whether having a heart attack, blood pressure, oxygen intake, heart rate, respiratory rate, lung capacity, ventilation amount) during exercise However, the simplicity of the measurement method was inferior.

In addition, since the basic physical fitness test requires more expensive equipment than the above-described exercise load test, it requires a lot of inspection cost and inspection time, which is also inferior in economy or simplicity of measurement method. There were disadvantages.

On the other hand, the whole body endurance measuring method, as an indirect measurement method through heart rate and body fat measurement, it is possible to measure the physical strength endured indirectly simple and accurate using a low-cost device in a short time Most of the body endurance was measured by sprinting with power through exercise performance test (12 minutes running test, 1500m running test, 20m shuttle run test, 10m shuttle run stamina test, 1 mile walking test, 12 minute walking test, etc.) When the elderly or the patient directly measured by the method, there is a big safety problem that the physical burden and the mental burden is forced to continue running with the power set time or distance, and there is also a serious problem for the individual deviation of the power.

In order to solve this problem, a measurement method that satisfies the following basic conditions is required, which includes: 1) safety, such as the ability to monitor ECG without the need for maximum effort, and 2) a high level of technical expertise. 3) non-invasive, such as not requiring expensive equipment and not requiring much manpower mobilization, and 4) not collecting blood. This is an important key factor.

The present invention is to solve the above-mentioned conventional problems, the purpose of the user to measure the heart rate before and after the exercise of the user, by comparing the gradient value between the measured heart rate and the data value of the pre-stored fitness information By measuring the state of fitness of the user, it is possible to execute the user's fitness measurement in a simple and short time compared to the conventional method was made by measuring the fitness through excessive exercise.

In addition, when using the method of measuring the physical strength of the present invention can be free from the mental burden of the conventional excessive exercise for measuring the user's fitness, and there is another object to significantly reduce the physical / mental stress.

In addition, the above-described physical fitness measuring method of the present invention is simpler than the conventional physical fitness measuring method of excessive exercise, and the exercise state and the difficulty of the exercise amount are low, so that it is easy to use easily even in the youth, middle-aged and elderly people. There is a purpose.

In order to achieve the above object, the present invention includes a memory unit in which fitness information corresponding to the measured heart rate is stored, and measures the heart rate before and after the exercise measured by the fitness measuring device including an input unit, a heart rate measuring unit, a control unit, and a display unit. In the method for measuring the fitness state of the user using, the biometric device is

Receiving user information through the input unit;

Measuring a first heart rate of a user's pre-exercise stable state through the heart rate measuring unit;

After measuring the first heart rate, measuring the second heart rate after the user has exercised by a set amount according to the repetition of the beep of the fitness measuring device through the heart rate measuring unit;

delete

After measuring the second heart rate, measuring the third heart rate after the user takes a rest for a predetermined time according to a signal sound of the fitness measuring device through the heart rate measuring unit; And determining the fitness state of the user by comparing the measured values of the measured first, second and third heart rates with previously stored fitness information data values. To provide.

delete

In the present invention, the determining of the fitness state of the user may include calculating a slope of the measured values of the measured first, second and third heart rates;

Calculating the fitness state of the user by comparing the calculated slopes of the first, second and third heart rates with data values of pre-stored fitness information; And

And displaying the fitness state of the user calculated through comparison with the previously stored fitness information data value on a display unit.

In addition, in the present invention, the step of calculating the slope of the measured value of the first, second, third heart rate provides a method for measuring physical fitness through the measurement of the bio-signal, characterized in that made using a regression analysis (regression analysis).

In addition, in the present invention, the step of receiving the user's information through the input unit provides a fitness measurement method through the measurement of the biological signal, characterized in that the step of receiving the user's age, gender, basic fitness level.

And in the present invention, the step of measuring the first, second, third heart rate provides a fitness measurement method through the measurement of the biological signal, characterized in that the step of measuring the heart rate of the user for 10 seconds.

In another aspect, the present invention is characterized in that it further comprises the step of repeatedly providing the exercise tone, so that the user is sitting in place and wake up 30 times before measuring the second heart rate.

The present invention may further include providing a beep sound to allow the user to rest for 50 seconds before measuring the third heart rate.

In the present invention, the fitness measurement method using the bio-signal measurement may include measuring the heart rate before and after the user's exercise and comparing the inclination value of the measured heart rate with data values of pre-stored fitness information to display the result of the fitness state of the user. By measuring the user's fitness by the method, there is an excellent effect, such as being able to perform the user's fitness measurement in a simple and short time compared to the conventional method was made through the excessive exercise.

In addition, when using the fitness measuring method of the present invention can be free from the mental burden of the conventional excessive exercise for measuring the user's fitness, there is also an effect that can significantly reduce the physical / mental stress.

In addition, the above-described physical fitness measuring method of the present invention is simpler than conventional physical fitness measuring methods of excessive exercise, but also has a low level of difficulty in exercise state and exercise amount, so there is also an effect that can be conveniently used even in young adolescents, middle-aged and elderly people. .

Hereinafter, the physical strength measuring method (hereinafter, referred to as the physical strength measuring method) through the measurement of the biological signal of the present invention will be described in detail with reference to the drawings.

Figure 1 shows a block diagram of the fitness measuring method of the present invention, Figure 2 shows a flow chart illustrating the fitness measurement method of the present invention in order.

First, before explaining the fitness measuring method of the present invention in detail, briefly described for the fitness measuring device for measuring the heart rate before and after the exercise of the experimenter.

A fitness measuring device for a fitness measuring method of the present invention includes an input unit (not shown) for inputting user's information such as age, gender, basic fitness level, and the like; A heart rate measuring unit (not shown) for measuring a heart rate before and after the exercise of the user; A memory unit (not shown) for storing the heart rate measured by the heart rate measuring unit and at the same time storing the data value of the fitness information corresponding to the measured and stored heart rate; A control unit (not shown) which compares the heart rate of the user before and after the exercise stored in the heart rate measuring unit with the fitness information data values previously stored in the memory unit to determine proper fitness information; And a display unit (not shown) for displaying an appropriate fitness state of the user determined by the control unit.

The fitness measurement method which can determine the fitness state of the user by measuring the heart rate before and after the exercise using the fitness measurement device configured as described above is as follows.

Physical fitness measuring method of the present invention, the step of inputting the user's information through the input unit of the physical fitness measuring device as shown in Figure 1 (S100); First measuring the pre-workout steady state heart rate through the heart rate measuring unit (S110); Step S120 of the user exercising according to the repetition of the beeping sound of the fitness measuring device by the start of exercise after the first measurement of the user heart rate (S120); Performing a second measurement of the heart rate after the user's exercise through the heart rate measuring unit (S130); Step (S140) in which the user takes a rest for a predetermined time according to the beep of the fitness measuring device after the second measurement of the user heart rate; And performing a third measurement of the heart rate of the user through the heart rate measuring unit after the rest for the preset time (S150).

And after the third step of measuring the heart rate of the user (S150), calculating the slope of the measured and stored first, second, third heart rate measurement value (S160); Comparing the calculated slope values of the first, second and third measured heart rates with data values of pre-stored fitness information; And displaying the result value of the user's fitness state on the display unit by comparing with the previously stored fitness information data value (S180).

On the other hand, the user's age, gender, basic fitness level, etc. are input to the user's information input to the memory through the input unit of the fitness measuring device.

In addition, the user's 1, 2, 3rd heart rate measurement (S110, S130, S150) through the heart rate measuring unit of the fitness measuring device is automatically made for 10 seconds while pressing the measurement switch (not shown) of the heart rate measuring unit. As described above, the first, second and third heart rates of the user measured through the heart rate measuring unit are automatically stored in the memory unit together with the measurement completion signal of the fitness measuring device.

In addition, after the user's heart rate measurement unit (S110) through the heart rate measurement unit after the user repeats the beep sound of the fitness measuring device by the start of exercise (S110), the user exercises as much as the set amount (S120), wherein the user for the fitness measurement The exercise method is to repeat sitting and sitting (squat) motion, the set amount of the repeated exercise is 30 times.

In addition, the user takes a break (S140) for a predetermined time according to the signal sound of the fitness measuring device after the second heart rate measurement (S130) of the user through the heart rate measuring unit. In the process of taking a rest, the remaining rest time is displayed on the display unit of the fitness measuring device, that is, the display window.

The fitness measurement method of the present invention configured as described above will be described in detail with reference to the flowchart of FIG. 2 as an example.

Example

First, a memory unit in which fitness information corresponding to the measured heart rate is stored, and before measuring a user's fitness state by using a fitness measuring device including an input unit, a heart rate measuring unit, a control unit, and a display unit, the input unit of the fitness measuring unit is measured. The user's information, that is, the user's age, gender, and basic fitness level are input (S100) and stored in the memory unit connected to the input unit.

In this case, the memory unit stores the heart rate of the 1st, 2nd, and 3rd hearts measured by the heart rate measuring unit, and at the same time stores data values of the fitness information corresponding to the measured 1, 2, and 3rd heart rates.

When the user's information is input through the input unit of the fitness measuring device as described above (S100), the user first grasps the heart rate of the user's pre-workout state by holding the heart rate measuring unit of the fitness measuring device by hand. In this case, the user must be still without moving while pressing the measurement switch installed in the heart rate measuring unit. The heart rate is automatically measured for 10 seconds while pressing the measuring switch of the heart rate measuring unit. Stored.

As described above, the user's heart rate is primarily measured through the heart rate measuring unit (S110), and then the operation switch (not shown) installed in the heart rate measuring unit is pressed to start the exercise as a method for measuring the heart rate after the user's exercise. After sitting in place repeatedly in response to the ringing tone from the fitness measuring device performs the exercise of the wake up 30 times (S120).

When the user's exercise is finished as described above, the user's heart rate is measured secondly by holding the heart rate measuring unit by hand and pressing a measurement switch to measure the user's heart rate (S130). As in the case of the first measurement of the heart rate in the pre-stable state (S110), it should be still without moving while the measurement switch is pressed, and the heart rate is automatically measured for 10 seconds while pressing the measurement switch of the heart rate measuring unit. And stored in the memory section.

Then, when the second measurement (S130) of the user's heart rate through the heart rate measuring unit is completed, the user is taking a break (S140) for a predetermined break time, that is, 50 seconds while the beep signal notifying a break from the fitness measuring device sounds. The remaining rest time in the process is displayed on the display window, which is an indicator of the fitness measuring device.

After the user rests for the predetermined time, the heart rate measurement unit is held by pressing the measurement switch by hand while holding the heart rate measuring unit in the same manner as the first and second heart rate measurement (S150). It should be still without moving while pressing the switch, and the heart rate is automatically measured for 10 seconds while the measurement switch of the heart rate measuring unit is pressed and stored in the memory unit.

When the first, second and third heart rate measurement of the user is ended, the slope of the measured and stored first, second and third heart rate measurement values is calculated through the controller of the fitness measuring apparatus (S160). In operation S160, the calculation of the first, second and third heart rate measurement values is determined in operation S160, and the calculation of the first, second and third heart rate measurement values is performed in operation S160. After this is completed, the next step is a step of comparing the calculated values of the first, second and third measured heart rates with the data values of the fitness information pre-stored in the memory unit (S170). If it is determined that the operation (S160) of the third heart rate measurement slope is not completed, the operation is continuously executed until the operation is completed.

Then, as described above, the operation of calculating the first, second and third heart rate measurement values (S160) is completed, and the next step, the calculated inclination values of the first, second and third measurement heart rates and the fitness information previously stored in the memory unit. In step S170, the data values of the first and second heart rate measurements are compared with the data of the fitness information stored in the memory unit. If the third heart rate measurement value and the data of the predetermined fitness information coincide with each other, the data of the matched fitness information, that is, the result value of the user's fitness state is displayed on the display unit, that is, the display window of the fitness measuring device ( S180) while the user grasps his or her fitness status, all of the user's fitness measurement methods through the fitness measuring device are terminated, and on the contrary, the first, second and third heart rate If it is determined that there is no mutually identical data among the measured value slope and the preset fitness information data, the calculated slope values of the first, second and third measured heart rates are continuously compared with the data values of the fitness information previously stored in the memory unit ( S170).

Experiment example

A series of experiments were conducted to verify the usefulness of the fitness measurement method through the measurement of the biological signal according to the present invention.

This experimental example relates to an accurate and easy quasi-maximal test for predicting maximum oxygen uptake using heart rate measured during a submaximal exercise.

Twenty two healthy young adults participated in this study, with an average age of SD of 20.2 ± 3.3 years, height of 173.5 ± 7.2cm, and weight of 67.8 ± 7.7kg. Each subject took 30 sit-ups and performed a quasi-maximum exercise test of squat, followed by a treadmill VO ₂ max test (GXT) with a 20 minute rest period in the middle of each test on the same day. Was carried out. Multiple regression analyzes were used and the equations were obtained using the heart rate measured during the submaximal exercise. Only variables related to the factor including heart rate were included in the independent variables as predictive factors of this analysis.

The regression formula obtained from the quasi-maximal test was as follows.

VO ₂ max (ml / kg / min) = 83.893 + 6.102 x (HR1)-10.328 x (HR2) + 3.921 x (HR3) + 6.214 x (HR12) + 3.947 x (HR23) + 0.065 x (HR13), R ² = 0.535 and SEE = 3.0 ml / kg / min.

The predicted and measured mean of VO ₂ max was 51.3 ± 3.6 ml / kg / min and 51.3 ± 4.4 ml / kg / min. The correlation coefficient between the predicted peak oxygen consumption (VO ₂ max) and the measured one was r = 0.82 and there was no significant deviation (p <0.01). The VO ₂ max value predicted from the semimaximal exercise test (30 sit ups) was obtained with good reliability consistent with the VO ₂ max value measured from GXT.

Experimental method)

Participants were volunteers from healthy community residents (22 men) aged 18 to 29 years. The physical characteristics of each participant are shown in Table 1. All participants signed an entry agreement and completed a health history questionnaire to confirm selection criteria (eg, diagnosis of cardiovascular or musculoskeletal abnormalities) prior to entering the experiment.

Table 1. Physical characteristics of participants (N = 22 people)

      variable       Average        SD       at least      maximum Age (years) Weight (kg) Height (cm) HRmax (bpm) VO ₂ max       20.2 67.8 173.5 194.1 51.3       3.3 7.7 7.2 6.1 4.4        18 58 157 181 43.3       29 90 184 204 59.7

Exercise test)

Participants were prohibited from severe physical activity over 12 hours before the test and no eating and smoking 4 hours before the test. Each of the experimenters completed the maximal exercise test (30-sit and rise) and the maximal exercise test (VO ₂ max) on the same day.

A description of the related contents is shown in FIG. 3.

Semi-maximal exercise test: 30 sitting and waking up Before conducting the semi-maximal test, participants were instructed to do what the test was, and spent 3 to 5 minutes warming up. After the warm-up, the participants took a break until they returned to a stable state, which was checked by measuring heart rate. With the buzzing sound of the metronome, the participants sat 30 times and started waking up, each sitting and waking up (1.5 seconds) controlled by metronium to ensure that the participants sat and wake up uniformly. The heart rate was measured three times during this semimaximum exercise test, and was taken 30 times before and after waking up. The first measurement (HR1) was taken at rest before exercise. The second measurement (HR2) was taken after the 30th sitting and waking up, and the third measurement (HR3) was taken after a 50 second rest period made after the end of the second measurement.

Maximum Kinetic Test: Peak oxygen consumption (VO ₂ max) was measured using an improved Bruce protocol on a motorized treadmill. Before conducting the maximum exercise test, participants walked at a speed of 1.7 mph at 0% grade for 3 minutes, after which the protocol was implemented. The protocol was followed by walking at a speed of 1.7 mph (step 1) at 10% incline for 3 minutes, which step was increased to a speed of 0.8-0.9 mph and 2% incline until the participant was tired. The test was considered maximum when at least two of the following criteria were met; 1) unable to maintain working speed, 2) maximum respiratory exchange rate (RER) ≥ 1.1, 3) no further increase in VO _{2 with} increasing workload (steady state).

Statistical analysis)

To establish a regression model for cardiopulmonary function estimation, maximum oxygen consumption (VO ₂ max) was adopted as dependent variables, height, weight, body mass index, heart rate, etc. were adopted as independent variables. Among these independent variables, the heart rate was divided into six different independent variables as follows, to more accurately analyze the participants' physiological responses to any of the conditions presented during the maximum test. HR1, HR2 and HR3 were obtained from three heart rate measurements measured during the 30 sitting and waking tests, and HR12 (HR2-HR1), HR23 (HR2-HR3) and HR13 (HR3-HR1) were among the three measured heart rates. These are obtained from the calculated heart rate.

The experimental data thus measured are shown in the diagram in FIG. 4.

A number of regression analyzes were performed to establish the formula for estimating VO ₂ max. Prior to the regression analysis, Pearson r was calculated to analyze the correlation between independent variables such as each of the above mentioned height, weight, body mass index, heart rate, etc. and dependent variables such as VO ₂ max. Calculated to All analyzes were performed using the Social Sciences statistical package, version 12.0 (SPSS Inc., Chicago, IL).

Experiment result)

The data used as independent variables from the results of the quasi-maximal exercise test to formulate multiple linear regression analyzes to estimate the maximum oxygen uptake are shown in Table 2.

Table 2. Independent variables included in multiple regression analysis

    variable       B     Sig t R ²     Sig F   Std.error     Constant HR1 HR2 HR3 HR12 HR23 HR13    83.893 6.102 -10.328 3.921 6.214 3.947 0.065     0.000 0.007 0.003 0.110 0.007 0.109 0.455        0.535        0.005         3.00

Among these independent variables, height, weight, and body mass indexes were excluded from multiple regression analyzes due to low correlations. Only variables related to the heart rate factor were included in the independent variable as prediction factors in this analysis. The regression equations (R ² = 0.535 and SEE = 3.0 ml · kg ⁻¹ min ⁻¹ ) generated from the quasi-maximum exercise test were as follows:

VO ₂ max (ml / kg / min) = 83.893 + 6.102 x (HR1)-10.328 x (HR2) + 3.921 x (HR3) + 6.214 x (HR12) + 3.947 x (HR23) + 0.065 x (HR13).

The scattered plot for this measured and predicted VO ₂ max is as shown in FIG. 5.

The measured and predicted values for VO ₂ max are shown in Table 3. The 30 times sat occur participant (22) the average prediction using the test VO ₂ max value of 51.3 ± 3.6 ml kg ^-1 and and min ^- was ^1, which the VO ₂ max values (51.3 ± 4.4 ml kg ^-1 and measured Min ^-1 ). The Pearson's correlation coefficient between the measured and predicted VO ₂ max values was r = 0.817 at the 0.01 level.

Table 3. Measured and predicted VO ₂ max values (N = 22)

       exam          M          SD        range        Measured value predicted value        51.3 51.3         4.4 3.6    43.5 ~ 59.7 43.3 ~ 58.9

In the experiment of the present invention as described above, the inventors developed a mobile device that can measure the heart rate change during the planned exercise test procedure, 30-sit-up exercise test, performed preliminary clinical studies, and estimated the maximum oxygen uptake capacity. A simplified method was developed to: Regression equations for estimating VO ₂ max were derived through multiple regression analyzes using heart rate measured in phase 3 (rest, immediately after a given exercise, and after 50 seconds of additional rest). The experimental results show that the mean of the estimated value of the experimental group is closely related to the mean of the measured VO ₂ max of the group without significant deviation. In order to verify the usefulness of the developed constitution experiment, the cardio-respiratory fitness level of each participant was classified by percent values (grade 10) according to ACSM criteria. 36.4% (8) of the participants showed the same “estimated” systemic endurance levels compared to the measurements. 59.1% of the participants (13) showed only one grade difference between the two assessments, and only 4.9% (1) of the participants showed a grade 2 difference.

From these experimental results, it can be seen that the simple exercise experiment developed in accordance with the present invention can be used to indirectly determine the cardio-respiratory fitness level.

Although the present invention has been described in detail with reference to the accompanying drawings, the present invention is not limited to such a specific structure. Those skilled in the art will be able to variously modify or change the embodiments of the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. Nevertheless, it will be apparent that all such modifications or design modifications to such simple embodiments will clearly fall within the scope of the present invention.

1 is a block diagram of a fitness measuring method of the present invention.

2 is a flow chart sequentially illustrating the physical fitness measuring method of the present invention.

Figure 3 is a graph showing a 30-sit-up and heart rate measurement process in the experimental example carried out according to the fitness measuring method of the present invention.

Figure 4 is a diagram showing the overall experimental data obtained in the experimental example carried out in accordance with the physical fitness measuring method of the present invention.

5 is a graph illustrating a graph of measured versus predicted VO ₂ max values obtained in an experimental example performed according to the physical fitness measuring method of the present invention.

<Explanation of symbols for main parts of the drawings>

S100. Enter user information

S110. Preliminary Heart Rate Pre-Workout

S120. Exercise stage

S130. Heart rate second measurement after exercise

S140. Rest stage

S150. Heart rate 3rd step after rest

S160. 1st, 2nd, 3rd heart rate measurement slope calculation

S170. Comparing the slope values of the 1st, 2nd, 3rd measured heart rate with the prestored fitness data values

S180. User Health Status Display Step

Claims (7)

A method of measuring a fitness state of a user by using a heart rate before and after a workout measured by a fitness measuring device including a memory unit having fitness information corresponding to the measured heart rate and including an input unit, a heart rate measuring unit, a controller, and a display unit, wherein Fitness measuring device, Receiving user information through the input unit; Measuring a first heart rate in a stable state before exercise of the user through the heart rate measuring unit; After measuring the first heart rate, measuring the second heart rate after the user exercises by the set amount according to the repetition of the beep of the fitness measuring device by the start of exercise through the heart rate measuring unit; After measuring the second heart rate, measuring the third heart rate after the user takes a rest for a predetermined time through the heart rate measuring unit; And And determining the fitness state of the user by comparing the measured values of the measured first, second and third heart rates with previously stored fitness information data values. The method of claim 1, wherein the determining of the fitness state of the user comprises: Calculating a slope of the measured values of the measured first, second and third heart rates; Calculating the fitness state of the user by comparing the calculated slope values of the first, second, and third heart rates with previously stored data values; And And displaying the result value of the user's fitness state calculated through comparison with the previously stored fitness information data value on a display unit. The method of claim 2, Computing the slope of the measured value of the first, second, third heart rate measured by using a regression analysis (regression analysis) characterized in that the physical signal measurement method. The method of claim 1, wherein the receiving of the user information through the input unit comprises: Physical strength measurement method by measuring the biological signal, characterized in that the step of receiving the user's age, gender, basic fitness level. The method of claim 1, wherein the measuring of the first, second, third heart rate is performed. Physical fitness measurement method by measuring the heart rate of the user for 10 seconds. The method of claim 1, wherein prior to measuring the second heart rate, And repeatedly providing an exercise signal sound to repeat the operation of the user sitting and waking up 30 times. The method of claim 1, wherein prior to measuring the third heart rate, And providing a beep sound to the user such that the user rests for 50 seconds.

Images