KR20130016052A - Method for aerobic exercise simulation to burn fat - Google Patents

Abstract

PURPOSE: An aerobic exercise maintenance method is provided to efficiently perform fat burning by calculating the heart rate at anaerobic threshold after extracting user's anaerobic threshold(AT). CONSTITUTION: The maximum oxygen consumption corresponding to a user is presumed. The estimated value of the anaerobic threshold corresponding to the user is input. The user's anaerobic threshold is calculated(S420). The calculated anaerobic threshold is input to the heart rate regression formula. The user's heart rate is calculated(S430,S440). [Reference numerals] (AA) Start; (BB) Heart rate measurement terminal; (CC) Transmitting a signal to a mobile terminal; (DD) End; (S410) Inputting an anaerobic threshold estimated variable; (S420) Calculating an anaerobic threshold; (S430) Calculating VO2-HR relation; (S440) Calculating a heart rate in the anaerobic threshold; (S450) Starting exercise; (S460) Is it out of a proper heart rate range?; (S470) Generating a notification sound

Description

Method for aerobic exercise simulation to burn fat

The present invention relates to a method for maintaining aerobic exercise for promoting fat burning, and more specifically, the point that distinguishes aerobic exercise from anoxic exercise is an anaerobic threshold point, and below the anaerobic threshold (AT: Anaerobic Threshold) It is a method of calculating the heart rate at the anaerobic threshold point because it burns fat efficiently when continuously exercising at exercise intensity.

The present invention also relates to a method for maintaining aerobic exercise by generating a notification sound or showing a notification message when the measured heart rate exceeds the set heart rate by measuring the heart rate in real time.

Proper exercise reduces the risk of hypokinetic disease and helps maintain and improve motor function, including metabolic strength and endurance flexibility. However, the effect of exercise is the maximum when the exercise and the amount of exercise that is appropriate for you, exercise that is excessive than your exercise function can cause cardiovascular accident with a sharp increase in heart rate and blood pressure.

Therefore, it is very important to know the appropriate amount of exercise and exercise amount for your physical condition. In other words, it is very important to know exactly the level of their motor skills and determine the appropriate exercise intensity. As a method of determining the appropriate exercise intensity for each individual, the relative exercise intensity using the maximum heart rate (% HRmax), the relative exercise intensity using the spare heart rate (% HR Reserve), the relative exercise intensity using the maximum oxygen intake (% VO ₂ max), exercise intensity using VO ₂ reserve, and the like.

On the other hand, modern people have obesity, blood vessels and heart disease due to excessive body fat. As a solution to such obesity, blood vessels and heart disease, aerobic exercise is performed a lot. This aerobic exercise is characterized by effectively consuming body fat, which causes obesity.

Types of aerobic exercise include oxygen-intensive walking, jogging and trade milling.

The principle that aerobic exercise burns fat is that you can do it without breathing and without having to put in a lot of energy. By supplying as much oxygen as possible in your body, you can improve the function of your heart and lungs and have strong blood vessel tissue.

However, in the present case there is no way to maintain aerobic exercise can not maintain a proper exercise intensity.

At present, aerobic exercise function evaluation, which is performed in some general hospitals and public health centers, uses different equipment for each item and uses various aerobic exercise test protocols. Such exercise function evaluation has a very low utilization rate because it is timely and financially easy for the general public to use it, and it is practically impractical to perform regular exercise function evaluation to check the effects of exercise.

Also, for example, when an athlete uses aerobic exercise equipment, such as a treadmill, the athlete wants to perform a proper exercise without difficulty in his or her physical fitness, and by continuing the exercise, improves his or her physical fitness and maintains a healthy life. I want to. In addition, the athlete wants to keep a record of his or her athletic state, and based on the recorded exercise history, he wants to train his fitness. In addition, there may be various things in the goal of the athlete, such as endurance, cardiopulmonary function, calorie consumption for the treatment of obesity.

By the way, according to the prior art, for those who want to perform aerobic exercise properly and effectively, it is practically impossible to evaluate their aerobic exercise function and to know the appropriate amount of aerobic exercise accordingly.

Korean Patent Publication [10-2005-0050782]

The present invention provides a method for calculating the heart rate at this anaerobic threshold point by calculating the anaerobic threshold (AT) of the user in order to efficiently burn fat, to achieve the problem raised above. There is a purpose.

Another object of the present invention is to provide a method of efficiently burning fat during exercise by checking whether the measured heart rate is within the calculated heart rate.

The first embodiment of the present invention provides a method for maintaining aerobic exercise for promoting fat burning to achieve the above-mentioned problem. The aerobic exercise maintenance method may include estimating a maximum oxygen intake amount corresponding to a user; Inputting an anaerobic threshold estimation variable for inputting an anaerobic threshold (AT) estimation variable corresponding to a user; An anaerobic threshold value calculating step of calculating an anaerobic threshold value of the user using an anaerobic threshold estimation equation according to an input variable; And calculating a heart rate of the user by substituting the calculated anoxic threshold value into the heart rate regression equation.

Here, the maximum oxygen intake estimation equation is the following equation,

VO ₂ max (ml / kg / min) = β0 + β1ｘ1 +... + Βpｘp + ε, ε to N (0, σ2),

Where VO ₂ max (ml / kg / min) is the dependent variable, ｘ1,…, ｘp is the P given dependent variables, β0, β1,…, βp are unknown regression coefficients, ε is the error term Suppose you follow a normal distribution with variance σ ² .

From the relationship between oxygen intake (VO ₂ (ml / kg / min)) and heart rate (HR), the heart rate corresponding to the anaerobic threshold of each individual can be derived. That is,

HR = VO ₂ (ml / kg / min) * A + B

Where A is the slope, B is the constant, and VO ₂ (ml / kg / min) is the oxygen consumption at the anaerobic threshold.

Independent variables include gender, age, weight, height, body mass index (BMI), Bioelectrical Impedance Analyzer (BIA), resting heart rate, heart rate during submaximal exercise, and submaximal exercise. Respiratory gas parameters, Respiratory Exchange Ratio (RER), energy expenditure, waist circumference, waist-to-hip ratio, physical activity data, and exercise Rating of Perceived Exertion (RPE), daily step counts, exercise frequence (sessions per week), maximum work intensity (Wmax), exercise And at least one selected from a period of years, a gas exchange threshold, a long running record of 1000 m or more, and a skeletal muscle mass.

On the other hand, the second embodiment of the present invention, the heart rate measuring terminal as the user's exercise begins to measure the heart rate of the user to generate heart rate measurement information; Receiving, by the communication terminal, the generated heart rate measurement information from the heart rate measurement terminal and determining whether the measured heart rate of the heart rate measurement information falls within the calculated heart rate range of the user generated by the first embodiment; And providing a notification information when the communication terminal is out of the user's heart rate range, and may provide an aerobic exercise maintenance method for promoting fat burning.

Here, the notification information may include a guide message for an exercise time and an exercise type.

According to the present invention, it is possible to efficiently perform fat burning when continuously exercising at an exercise intensity below the anaerobic threshold by calculating the anaerobic threshold of the user and calculating the heart rate at this anaerobic threshold point.

In addition, another effect of the present invention is to measure the user's heart rate using a heart rate measurement terminal and to check whether the measured heart rate is within the calculated heart rate by outputting alarms and text messages, so that the user burns fat efficiently while steadily exercising It is possible to make it.

1 is a system configuration for maintaining aerobic exercise for promoting fat burning according to an embodiment of the present invention.
FIG. 2 is a circuit block diagram of the heart rate measuring terminal shown in FIG. 1.
3 is a circuit block diagram of the communication terminal shown in FIG.
Figure 4 is a flow chart showing aerobic exercise maintenance process for promoting fat burning according to an embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It is to be understood, however, that the invention is not to be limited to the specific embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, the terms "comprise" or "have" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning in the context of the relevant art and are to be construed as ideal or overly formal in meaning unless explicitly defined in the present application Do not.

Hereinafter, a method for maintaining aerobic exercise for promoting fat burning according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a system configuration for maintaining aerobic exercise for promoting fat burning according to an embodiment of the present invention. Referring to FIG. 1, a system configuration diagram for maintaining aerobic exercise for promoting fat burning includes receiving a heart rate measurement terminal 100 measuring heart rate of a user and heart rate measurement information measured from the heart rate measurement terminal 100. It consists of a communication terminal 120 for monitoring the maintenance of aerobic exercise.

Of course, the heart rate measuring terminal 100 may be attached to or detached from the user's body, or may be attached to an exercise device such as a trade mill (ie, a treadmill).

In addition, the communication terminal 120 is a smart card, a personal digital assistant (PDA), a mini portable media player (PMP), a treadmill capable of measuring heart rate, aerobic exercise equipment and portable heart rate such as a bicycle ergometer, a granular, a lowing machine, etc. Measuring instrument or the like.

2 is a circuit block diagram of the heart rate measuring terminal 100 shown in FIG. 2, the heart rate measuring terminal 100 includes a heart rate measuring unit 210, an operation unit 220, a microprocessor 200, a display unit 240, a memory 230, a wireless transmitter 250, and the like. .

The heart rate measuring unit 210 measures a heart rate of a human body (user) as a heart rate measuring sensor. For convenience, the heart rate measuring unit 210 is displayed as a component of the heart rate measuring terminal 100, but for convenience, the heart rate measuring device may be linked with the existing heart rate measuring device.

The operation unit 220 transmits a command for the user to select an operation of the heart rate measuring terminal 110 to the microprocessor 200. The operation unit 220 may include a general numeric key, a key button for inputting data, a function selection key button, and the like, and may not include a key button when the display unit 240 is configured as a touch screen.

The memory 230 is a storage device that stores data, measures a heart rate of a user, transmits the data to a communication terminal (120 of FIG. 1), or stores a program for operation control. The memory 230 may be a memory provided in the microprocessor or may be a separate memory. Therefore, non-hard disk drives, flash memory, electrically erasable programmable read-only memory (EEPROM), static RAM (SRAM), ferro-electric RAM (FRAM), phase-change RAM (PRAM), magnetic RAM (MRAM), and the like. Volatile memory and / or volatile memory such as random access memory (RAM), dynamic random access memory (DRAM), or the like may be used.

The display unit 240 displays a menu screen for an operation state and / or operation of the heart rate measuring terminal 100 and is implemented as a liquid crystal display (LCD), organic light emitting diodes (OLED), a touch screen, or the like. Of course, although the display unit 240 is illustrated in the present invention, the display unit 240 may not be configured.

The wireless transmitter 250 performs a function of wirelessly transmitting the heart rate measurement information processed by the microprocessor 200 and transmitting the wireless heart rate measurement information to the communication terminal 120. As a communication technology between the heart rate measurement terminal (100 in FIG. 1) and the communication terminal (120 in FIG. 1), general radio frequency (RF), Bluetooth communication, infrared communication, and near field communication technology are used. Of course, the present invention is not limited to wireless communication technology, but wired communication technology can be used.

3 is a circuit block diagram of the communication terminal 120 shown in FIG. Referring to FIG. 3, the communication terminal 120 includes an anaerobic threshold calculator 330 for calculating an anaerobic threshold of a user; A heart rate calculator 350 for calculating a heart rate of the user using the calculated anoxic threshold; A communication circuit unit 370 communicating with the wireless communication unit 250 of FIG. 2 to receive heart rate measurement information; A control unit (300) for determining whether it is out of range by comparing with a heart rate range of a user calculated using heart rate measurement information transmitted through the communication circuit unit (370) and providing a warning sound and / or a message; And a display unit 320 for displaying a warning sound and / or a message or a voice converting unit 360 for outputting the same according to a command of the controller 300.

Of course, in addition to the input unit 310 is provided with a button for command and / or selection of the user, anoxic threshold value is calculated to calculate the heart rate range of the user at this anaerobic threshold point and the user's heart rate and Aerobic exercise maintenance program for promoting fat burning to implement the algorithm to compare, the storage unit 340 for storing data and the like is provided.

The storage unit 340 may be a memory provided in a microprocessor configured in the controller 300 or may be a separate memory. Therefore, non-hard disk drives, flash memory, electrically erasable programmable read-only memory (EEPROM), static RAM (SRAM), ferro-electric RAM (FRAM), phase-change RAM (PRAM), magnetic RAM (MRAM), and the like. Volatile memory and / or volatile memory such as random access memory (RAM), dynamic random access memory (DRAM), or the like may be used.

Aerobic exercise maintenance program, data, etc. are transmitted to the communication terminal 120 in the form of an app (app) using a wireless communication technology. Such communication technologies include WiBro (Wireless Broadband), WiPi (Wireless Internet Platform for Interoperability), Bluetooth, Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), and Global System for Mobile Communications. ), Dedicated short-range communications (DSRC), Infrared Data Association (IrDA), and the like can be used.

The voice converter 360 converts an analog voice of a user into a digital signal or converts a digital signal into an analog signal.

The display unit 320 may include a liquid crystal display (LCD), organic light emitting diodes (OLED), a touch screen, or the like, and the input unit 310 may be omitted in the case of a touch screen.

The anaerobic threshold calculator 330 calculates an anaerobic threshold value (or point). In other words, when the user inputs the anaerobic threshold estimation variable using the input unit 310, the anaerobic threshold calculation unit 330 calculates the anaerobic threshold value of the user. The anaerobic threshold estimation parameters include gender, age, height, weight, body mass index (BMI), body fat mass, and 1,200M running record.

Anaerobic threshold (AT: Anaerobic Threshold) is a time greater than the VCO ₂ or VO ₂ indicates the value of the VO ₂ at that time. The AT viewpoint is the boundary from aerobic exercise to anaerobic exercise. At this time, in order to burn a lot of fat aerobic exercise should be performed. Therefore, to do aerobic exercise, you must continue to exercise at the intensity before that point.

Therefore, in the VO ₂ and VCO ₂ graphs that change with exercise, the point where VCO ₂ exceeds VO ₂ becomes the anaerobic threshold (AT) time point and the user's heart rate range is calculated using the VO ₂ value at this time point.

The aerobic exercise maintenance method for promoting fat burning, estimating the maximum oxygen intake corresponding to the user; Inputting an anaerobic threshold estimation variable for inputting an anaerobic threshold estimation variable corresponding to a user; An anaerobic threshold value calculating step of calculating an anaerobic threshold value of the user using an anaerobic threshold estimation equation according to an input variable; And calculating the heart rate of the user by substituting the calculated anoxic threshold value into the heart rate regression equation.

Here, the maximum oxygen intake estimation equation is the following equation,

VO ₂ max (ml / kg / min) = β0 + β1ｘ1 +... + Βpｘp + ε, ε to N (0, σ2),

Where VO ₂ max (ml / kg / min) is the dependent variable, ｘ1,…, ｘp is the P given dependent variables, β0, β1,…, βp are unknown regression coefficients, ε is the error term Suppose you follow a normal distribution with variance σ ² .

From the relationship between oxygen intake (VO ₂ (ml / kg / min)) and heart rate (HR), the heart rate corresponding to the anaerobic threshold of each individual can be derived. That is,

HR = VO ₂ (ml / kg / min) * A + B, where A is the slope and B is the constant.

Here, VO ₂ (ml / kg / min) value may be characterized in that the oxygen consumption amount at the anaerobic threshold time point.

Independent variables include gender, age, weight, height, body mass index (BMI), Bioelectrical Impedance Analyzer (BIA), resting heart rate, heart rate during submaximal exercise, and submaximal exercise. Respiratory gas parameters, Respiratory Exchange Ratio (RER), energy expenditure, waist circumference, waist-to-hip ratio, physical activity data, and exercise Rating of Perceived Exertion (RPE), daily step counts, exercise frequence (sessions per week), maximum work intensity (Wmax), exercise And at least one selected from a period of years, a gas exchange threshold, a long running record of 1000 m or more, and a skeletal muscle mass.

The following are some examples of 339 men and women in their 20s (267 men and 72 women) who are physically and mentally healthy.

1) Estimate using basic body information:

[Equation 1]

Here, β1 is -0.129, β2 is 0.171, β3 is -0.395, and the constant constant is 17.815. The process of deriving these numerical values is calculated according to Tables 1 to 17 described below.

2) Estimation formula using basic physical information + health examination data:

&Quot; (2) "

Here, β1 is -0.658, β2 is 0.547, β3 is -0.406, β4 is -0.123, β5 is 1.661, and the constant constant is -46.014. Bodyfat represents body fat and BMI represents Body Mass Index.

3) Estimate using 1,200m running records:

&Quot; (3) "

Here, β1 is -0.016 and the constant constant is 37.125.

4) Estimation formula using basic body information + 1,200m running record:

&Quot; (4) "

Here, β1 is -0.139, β2 is 0.110, β3 is -0.670, β4 is -0.12, and the constant constant is 39.834.

Estimation of anaerobic threshold for female college students is subdivided as follows.

1) Estimate using basic body information:

[Equation 5]

Here, β1 is -0.087, β2 is -0.070, β3 is -0.305, and the constant constant is 46.735. The process of deriving these numerical values is calculated according to Tables 1 to 17 described below.

2) Estimation formula using basic physical information + health examination data:

&Quot; (6) "

Here, β1 is -2.408, β2 is 1.882, β3 is -1.090, β4 is -0.031, β5 is 5.758, and the constant constant is -246.323.

3) Estimate using 1,200m running records:

[Equation 7]

Here, β1 is -0.021, and the constant constant is 32.736.

4) Estimation formula using basic body information + 1,200m running record:

[Equation 8]

Here, β1 is -0.038, β2 is 0.220, β3 is -0.220, β4 is -0.025, and the constant constant is 5.492.

Equations 1 to 8 may be derived using various data, a standard statistical software (SPSS) program, and a multiple regression analysis method.

For example, if the basic data are generated using 339 males and females in their 20s (267 males, 72 females) who are physically and mentally healthy, the characteristics of the subjects are shown in Table 1.

variable man Woman Mean SD Mean SD Age (yrs) 20.79 1.265 20.54 .983 Height (cm) 173.997 5.364 161.914 4.542 Weight (kg) 69.177 12.884 52.600 5.728 % BodyFat 17.212 8.595 25.162 6.027 Body Mass Index (kg / m ² ) 22.950 5.102 20.085 2.128

Based on Table 1, the anaerobic threshold estimation formula for male college students will be described first. The anaerobic threshold estimation equation is based on an estimation equation using basic body information, an estimation equation using basic body information + health examination data, an estimation equation using a 1,200m running record, and an estimation equation using a basic body information + 1,200m running record. Can be. The table below shows the following.

One). Estimates using basic body information are shown in Tables 2 and 3 below.

model Non-standardization coefficient Standardization factor p Collinearity statistics Standard error beta Tolerance limit VIF Model Constant 15.941 17.815 .265 Weight .043 -.129 -.205 .003 .807 1.239 Height .088 .171 .131 .053 .810 1.235 Age .337 -.395 -.071 .243 .997 1.003

model R R ² SEE F p Model .205 .042 6.912 3.806 .011

Where R is the multiple correlation coefficient, R2 is the variation, and SEE is the standard error of the estimate.

2). Estimates using basic physical information + health examination data are shown in Tables 4 and 5.

model Non-standardization coefficient Standardization factor p Collinearity statistics Standard error beta Tolerance limit VIF Model Constant 101.456 -46.014 .651 Weight .702 -.658 -1.324 .350 .004 226.100 Height .568 .547 .481 .338 .035 28.401 Age .480 -.406 -.080 .399 .991 1.009 % BodyFat .140 -.123 -.090 .382 .832 1.202 BMI 2.214 1.661 .979 .455 .005 193.251

model R R ² SEE F p Model .305 .093 6.069 2.112 .070

3). Estimates using the 1,200m running record are shown in Tables 6 and 7.

model Non-standardization coefficient Standardization factor p Collinearity statistics Standard error beta Tolerance limit VIF Model Constant 3.512 37.125 .000 1,200 m (sec) .009 -.016 -.134 .083 1,000 1,000

model R R ² SEE F P Model .134 .018 6.797 3.049 .083

4). Estimates using basic body information + 1,200m running records are shown in Tables 8 and 9.

model Non-standardization coefficient Standardization factor p Collinearity statistics Standard error beta Tolerance limit VIF Model Constant 21.303 39.834 .063 Weight .049 -.139 -.248 .005 .754 1.327 Height .113 .110 .084 .329 .775 1.290 Age .399 -.670 -.127 .095 .990 1.010 1,200 m (sec) .009 -.012 -.099 .204 .946 1.057

model R R ² SEE F p Model .291 .085 6.635 3.749 .006

Next, the anaerobic threshold estimation equation of the female college student will be described first. The anaerobic threshold estimation equation is based on an estimation equation using basic body information, an estimation equation using basic body information + health examination data, an estimation equation using a 1,200m running record, and an estimation equation using a basic body information + 1,200m running record. Can be. The table below shows the following.

One). Estimates using basic body information are shown in Tables 10 and 11 below.

model Non-standardization coefficient Standardization factor p Collinearity statistics Standard error beta Tolerance limit VIF Model Constant 34.889 46.735 .185 Weight .154 -.087 -.071 .576 .921 1.086 Height .191 -.070 -.046 .714 .934 1.071 Age .857 -.305 -.044 .723 .985 1.015

model R R ² SEE F p Model .101 .010 7.003 .228 .877

Where R is the multiple correlation coefficient, R2 is the variation, and SEE is the standard error of the estimate.

2). Estimates using basic physical information + health examination data are shown in Table 12 and Table 13.

model Non-standardization coefficient Standardization factor p Collinearity statistics Standard error beta Tolerance limit VIF Model Constant 371.409 -246.323 .515 Weight 3.501 -2.408 -1.823 .500 .007 150.066 Height 2.267 1.882 1.215 .417 .027 36.494 Age 1.561 -1.090 -.161 .494 .880 1.136 % BodyFat .349 -.031 -.024 .929 .671 1.491 BMI 9.044 5.758 1.653 .532 .007 142.724

model R R ² SEE F P Model .338 .114 7.739 .490 .779

3). Estimates using the 1,200m running record are shown in Table 14 and Table 15.

model Non-standardization coefficient Standardization factor p Collinearity statistics Standard error beta Tolerance limit VIF Model Constant 8.593 32.736 .000 1,200 m (sec) .019 -.021 -.169 .291 1,000 1,000

model R R ² SEE F p Model .169 .029 6.591 1.147 .291

4). Estimates using basic body information + 1,200m running records are shown in Table 16 and Table 17 below.

model Non-standardization coefficient Standardization factor p Collinearity statistics Standard error beta Tolerance limit VIF Model Constant 43.349 5.492 .900 Weight .222 -.038 -.030 .864 .889 1.125 Height .234 .220 .163 .353 .870 1.149 Age 1.186 -.220 -.031 .854 .953 1.049 1,200 m (sec) .020 -.025 -.202 .232 .928 1.078

model R R ² SEE F p Model .230 .053 6.774 .502 .734

Referring to FIG. 3, the heart rate calculator 350 calculates a user's heart rate range using the points of the anaerobic threshold calculated by the anoxic threshold calculator 330. In other words, the heart rate range corresponding to the anaerobic threshold value of the user is calculated using the anaerobic threshold estimation equation (ie, Equation 1). Heart rate regression is as follows.

&Quot; (9) "

HR = VO ₂ (ml / kg / min) * A + B, where A is slope and B is constant

Here, the value of VO ₂ (ml / kg / min) is the amount of oxygen consumed at the time of the anaerobic threshold.

Figure 4 is a flow chart showing aerobic exercise maintenance process for promoting fat burning according to an embodiment of the present invention. Referring to FIG. 4, FIG. 4 includes a preparation process before the start of exercise and an exercise execution process.

1) Preparation process for starting exercise

In the exercise start preparation process, an anaerobic threshold value and a heart rate range of the user are calculated by using an anaerobic threshold estimation variable, which is information about the user.

To this end, the user inputs an anaerobic threshold estimation variable corresponding to his information to the communication terminal 120 (step S410). In other words, various anaerobic threshold estimation parameters for estimating the anaerobic threshold value are input to the communication terminal 120. The anoxic threshold estimates include sex, age, weight, height, body mass index (BMI), bioelectrical impedance analyzer (BIA), resting heart rate, heart rate during submaximal exercise, and submaximal Respiratory gas parameters during exercise, Respiratory Exchange Ratio (RER), energy expenditure, waist circumference, waist-to-hip ratio, and physical activity data , Rating of Perceived Exertion (RPE), daily step counts, exercise frequence (sessions per week), Wmax (work max) It may be configured to include at least one selected from the period of exercise (years of training), the gas exchange threshold (threshold value), a long running record of more than 1000m and skeletal muscle mass.

Using the anaerobic threshold estimation regression equation, the anaerobic threshold value of the user is calculated (step S420), and the heart rate at the anaerobic threshold point is determined according to the relation between the anaerobic threshold value and the heart rate. The range is calculated (steps S430 and S440).

The heart rate range may be displayed through the display unit 320 of FIG. 3 or a guide message may be output through the voice conversion unit 360 of FIG. 3. This heart rate range is a reference value of the aerobic exercise intensity of the user.

2) Exercise process

As the user's exercise starts, the communication terminal 120 (in FIG. 1) enters a standby mode for receiving heart rate measurement information measuring the heart rate of the user from the heart rate measuring terminal (100 in FIG. 1) (step S450).

In other words, when the heart rate range is generated by step S410 to step S440, the user is informed to the communication terminal 120 that the user is ready to start the exercise (step S461). Of course, the manner in which the user notifies the communication terminal 120 may select a specific button provided in the input unit 310 of FIG. 3 or make a voice. Alternatively, when the heart rate range of the user is determined, the user may automatically enter the standby mode after a certain time.

The communication terminal 120 (refer to FIG. 1) receives the heart rate measurement information measuring the heart rate of the user from the heart rate measurement terminal 100, and the calculated heart rate of the heart rate measurement information is calculated through steps S410 to S440. It is determined whether it is within the range (step S460). Of course, there is a process in which the communication terminal 120 receives the heart rate measurement information from the heart rate measurement terminal 100 in real time.

As a result of the determination in step S460, when the measured heart rate of the heart rate measurement information is out of the calculated heart rate range of the user, the communication terminal 120 provides notification information (step S470).

 The alert information may be a warning sound or a guide message, which may include aerobic exercise time (e.g., aerobic exercise time, a suitable time for future aerobic exercise, etc.), aerobic exercise type (e.g. light exercise such as jogging). It may include)).

As a result of the determination in step S460, if the measured heart rate of the heart rate measurement information does not exceed the heart rate range of the user, step S450 proceeds.

100: heart rate measurement terminal 120: communication terminal
200: microprocessor 210: heart rate measurement unit
220: operation unit 230: memory
240: display unit 250: wireless communication unit
300: control unit 310: input unit
320: display unit 330: anoxic threshold calculation unit
340: storage unit 350: heart rate calculator
360: voice conversion unit 370: communication circuit unit

Claims (5)

Estimating a maximum oxygen intake corresponding to the user;
Inputting an anaerobic threshold estimation variable for inputting an anaerobic threshold estimation variable corresponding to a user;
An anaerobic threshold value calculating step of calculating an anaerobic threshold value of the user using an anaerobic threshold estimation equation according to an input parameter; And
A heart rate calculation step of calculating the heart rate of the user by substituting the calculated anoxic threshold value into the heart rate regression equation
Aerobic exercise maintenance method for promoting fat burning comprising a.
The method of claim 1,
The maximum oxygen intake estimation equation is the following equation,
VO ₂ max (ml / kg / min) = β0 + β1ｘ1 +... + Βpｘp + ε, ε to N (0, σ2),
Where VO ₂ max (ml / kg / min) is the dependent variable, ｘ1,…, ｘp is the P given dependent variables, β0, β1,…, βp are unknown regression coefficients, ε is the error term Suppose you follow a normal distribution with variance σ ² .

From the relationship between oxygen intake (VO ₂ (ml / kg / min)) and heart rate (HR), the heart rate corresponding to the anaerobic threshold of each individual can be derived. That is,
HR = VO ₂ (ml / kg / min) * A + B
(Where A is a slope, B is a constant, and VO ₂ (ml / kg / min) value is the oxygen consumption at the time of an anaerobic threshold).
The method of claim 2,
Independent variables include gender, age, weight, height, body mass index (BMI), bioelectrical impedance analyzer (BIA), resting heart rate, heart rate during submaximal exercise, and breathing during submaximal exercise. Gas parameters, Respiratory Exchange Ratio (RER), energy expenditure, waist circumference, waist-to-hip ratio, physical activity data, exercise awareness Rating of Perceived Exertion (RPE), daily step counts, exercise frequence (sessions per week), maximum exercise intensity (Wmax: work max), duration of exercise ( maintenance of aerobic exercise for promoting fat burning, characterized in that it comprises at least one selected from years of training, gas exchange threshold, running record over 1000m and skeletal muscle mass Way.
Generating a heart rate measurement information by measuring a heart rate of the user as the user's exercise starts;
The communication terminal receives the generated heart rate measurement information from the heart rate measurement terminal to determine whether the measured heart rate of the heart rate measurement information falls within the calculated heart rate range of the user according to any one of claims 1 to 3. Determining; And
As a result of the determination, when the communication terminal is out of the heart rate range of the user, providing notification information
Aerobic exercise maintenance method for promoting fat burning comprising a.
The method of claim 4, wherein
The notification information includes aerobic exercise maintenance method for promoting fat burning, characterized in that it comprises a guide message for the exercise time and type of exercise.

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