Scientific fat-reducing testing and training integrated system

Abstract

The invention provides a testing and training integrated system for scientific fat reduction. The testing and training integrated system comprises an integrated device and a testing and training system, the integrated device comprises an exercise load loading module, a breathing gas measuring module, a physiological signal collecting module, a control communication module and an analysis host module. The testing and training system is embedded in the analysis host module and comprises a basic information input module, a static information acquisition module, a polar information acquisition module, an optimal fat reduction testing module, an optimal fat reduction training module and a fat reduction evaluation report module. According to the method, the nutrient substance energy supply mode can be measured and calculated in real time, then the exercise load is dynamically adjusted to achieve the optimal mode of fat energy supply, the scientific, accurate and efficient fat reduction state is achieved, and the quantitative fat reduction effect is calculated in real time.

Description

Technical Field

[0001] The invention belongs to the field of fat reduction, and in particular relates to a test-training integrated system for scientific fat reduction. Background Art

[0002] Fat reduction is to reduce the amount of fat in the body. It is mainly aimed at obese patients, people who do body shaping and physical exercise. Excessive fat content can easily induce obesity, cardiovascular and cerebrovascular diseases, and endanger health. The human body mainly uses the oxidation of three major nutrients, carbohydrates, fats and proteins, for energy. The oxidation process consumes oxygen and produces carbon dioxide. The RQ (respiratory quotient, which reflects the consumption of the three major nutrients, usually 0.7 when completely supplied by fat and 1.0 when completely supplied by carbohydrates) can be calculated based on the chemical formula. Under the premise of complete oxidation, the RQ is about 0.7 when fat supplies energy independently, about 0.8 when protein supplies energy independently, and about 1 when carbohydrate supplies energy independently (as shown in the following formula). When the three major nutrients are mixed to supply energy, the RQ is between 0.7 and 1. Therefore, the RQ should be 0.7 in the best state of fat reduction. There are differences in energy supply among the three major nutrients. The glycogen in the human body can supply energy quickly, and fat can supply energy efficiently (generating more heat per unit weight), so the human body usually consumes glycogen first, then fat, and finally protein (protein energy is usually produced under extreme circumstances). Therefore, by adjusting the exercise load, the glycogen in the body can be quickly consumed and the body's fat can be effectively mobilized for energy supply.

[0003] C6H 12 O6(sugar) + 6O2(oxygen)→6CO2(carbon dioxide)+6H2O(water).

[0004] The current methods of fat loss are as follows: 1. Exercise to increase energy consumption to achieve the purpose of fat loss; 2. Control diet to reduce energy intake to reduce fat synthesis or increase fat consumption; 3. Take medications to inhibit fat absorption or promote fat consumption; 4. Use fat burning products to promote local body fat consumption through physical vibration or heat generation.

[0005] For example, the Chinese patent CN2683023Y (diet fitness fat loss meter) has the input of food intake type and total amount and sports items, and the output is the exercise plan, which achieves the purpose of fat loss by forming a negative energy balance. However, it has the following problems: 1. The energy intake is calculated based on the food intake, which is not scientific and accurate enough, and does not take into account food additives and methods, such as frying, etc., and the individual digestion and absorption capacity varies from person to person; 2. The energy consumed is not accurately estimated according to the sports items and exercise heart rate. The same sports items and exercise intensity are affected by individual physical differences, and the energy consumption is also different; 3. Achieving a negative energy balance does not mean that it is a fat energy supply state, and it may also consume a lot of muscle glycogen, resulting in muscle loss.

[0006] The Chinese patent application CN110634543A (A fat loss management platform and its implementation method) mainly observes the indicators measured by the body fat scale, and the strategy adopted is to control diet and exercise to achieve negative energy balance. It has the following problems: 1. The basal metabolic rate measured by the body fat scale has a large error in principle; 2. The observation and adjustment process is slow, the fat loss cycle is long, and a high compliance is required.

[0007] Chinese patent application CN114496245A (A personalized body fat control management method and system based on exercise energy consumption monitoring) uses individual resting data and maximum oxygen uptake and other information as input to give an exercise plan. It has the following problems: 1. It only measures energy consumption at rest, and does not measure energy consumption and respiratory quotient RQ during exercise in real time, so it is impossible to effectively observe fat energy supply and effectively control fat reduction; 2. The strategy used is to give an exercise plan based on static indicators, and does not quantify the energy and fat consumed during exercise; 3. Using maximum oxygen uptake as a reference standard for exercise intensity has a certain lag from the perspective of physiological observation, and the maximum oxygen uptake is set at a heart rate of 180 beats / min, which cannot meet individual differences.

[0008] Chinese patent CN116649951B (Motion data processing method, wearable device, terminal, fitness equipment and medium) proposes a specific motion data processing method, with the purpose of maximum fat loss, using the device to calculate exercise energy consumption and fat consumption, but there are the following problems: 1. The measurement of its RER uses a prediction model, which varies between different sports and individuals; 2. The quantification of fat consumption is based on total consumption, and no specific exercise energy consumption quantification formula is given; 3. No effective control method is given to achieve the maximum fat burning state, only the fat consumption and energy consumption during exercise are displayed in real time.

[0009] In addition, the human body mainly relies on carbohydrates, fats and proteins as the three major nutrients for energy supply. The form of energy supply changes with the physiological state. For example, glycogen is consumed first when the stomach is full, and fat is consumed when the stomach is hungry. Blind exercise will consume a lot of glycogen in the body and thus fail to effectively reduce fat. The way of controlling diet can easily cause nutrient imbalance, hypoglycemia, and long-term hunger, which can cause damage to human organs. The side effects of fat-reducing drugs on the human body are still unclear, and the effects vary from person to person. The so-called fat-burning products cause passive fat consumption due to external stimuli, and are unable to mobilize the whole body to reduce fat, and the benefits are very low. In summary, there is currently no effective fat-reducing device and system to scientifically and efficiently guide fat-reducing activities. Summary of the invention

[0010] In order to solve the above technical problems, the present invention proposes an integrated testing and training system for scientific fat loss, which accurately measures the respiratory quotient (RQ) of the human body in static and dynamic conditions in real time, thereby calculating the nutrient energy supply mode in real time, and then dynamically adjusting the exercise load to achieve the best way of fat energy supply to achieve a scientific, accurate and efficient fat loss state, and calculate and quantify the fat loss effect in real time.

[0011] In order to achieve the above object, the present invention adopts the following technical solution:

[0012] A scientific fat-reducing test-training integrated system, comprising an integrated device and a test-training system;

[0013] The integrated device includes a motion load loading module, a breathing gas measurement module, a physiological signal acquisition module, a control communication module and an analysis host module; the motion load loading module is used to apply a quantitative motion load to the individual, so that the individual exercises in a predetermined manner, thereby achieving energy consumption; the breathing gas measurement module is used to collect inhaled gas and exhaled gas and perform oxygen and carbon dioxide content analysis and calculation; the physiological signal acquisition module is used to collect blood oxygen, electrocardiogram, heart rate information and body fat rate information during individual exercise; the control communication module is used to realize the communication between the breathing gas measurement module, the motion load module, the physiological signal acquisition module and the analysis host module, and is also used to control the operation of the gas measurement module, the motion load module and the physiological signal acquisition module; the analysis host module is used for data aggregation, calculation, analysis and human-computer interaction;

[0014] The testing and training system is embedded in the analysis host module, and includes a basic information entry module, a static information collection module, an extreme information collection module, an optimal fat reduction test module, an optimal fat reduction training module, and a fat reduction evaluation report module; the basic information entry module is used to enter the subject information in the analysis host module; the static information collection module is used to measure the resting heart rate RHR and the resting energy consumption rate RER; the extreme information collection module is used to measure the maximum oxygen uptake VO2Max, the maximum heart rate measurement HRMax, the maximum load power MaxPower and the inertia time ResponseTime; the optimal fat reduction test module is used to automatically adjust the exercise load and observe the energy supply ratio of the three major nutrients in real time, estimate the fat loss per breath LostFatMess and the energy consumption per breath LostEnergy, and perform adaptive classification of exercise load; the optimal fat reduction training module performs fat reduction exercise according to the optimal fat reduction parameters calculated by the optimal fat reduction test module and sets the parameters.

[0015] Furthermore, the analysis host module sends a test instruction to the control communication module, and then the control communication module sends a synchronous acquisition instruction to the physiological signal acquisition module and the respiratory gas measurement module. The subject is still, and the data of each module is transmitted back to the analysis host module at a fixed frequency through the control communication module. After being processed by the static information acquisition module, the resting heart rate RHR and resting energy expenditure rate RER are obtained.

[0016] Furthermore, the analysis host module sends a test instruction to the control communication module, which then sends a synchronous acquisition instruction to the physiological signal acquisition module and the respiratory gas measurement module, and sends an instruction to execute a step-by-step progressive exercise load to the exercise load loading module. The subject starts to do follow-up exercise, and the data of each module is transmitted back to the analysis host module at a fixed frequency via the control communication module. After real-time processing by the extreme information acquisition module, the heart rate and oxygen intake rate are calculated every 30 seconds. When the heart rate and oxygen intake rate no longer continue to increase, the measurement is stopped, and the maximum oxygen uptake VO2Max, maximum heart rate measurement HRMax, maximum load power MaxPower and inertia time ResponseTime are calculated.

[0017] Furthermore, the formula for the progressive intensity of the exercise load module is as follows:

[0018] ;

[0019] Among them, Power is the target power of the motion load loading module M1, T is the time, PV is the power growth rate per unit time, PV is calculated by the maximum power MaxP that the motion load device can execute and the entire step-by-step operation time MaxT PV =MaxP / MaxT, n is the adjustment factor, n is greater than or equal to 1.

[0020] Furthermore, the inertia time ResponseTime represents the time that the maximum oxygen uptake lags behind the maximum heart rate, and its calculation formula is:

[0021] ;

[0022] Among them, VO2MaxT is the moment when the maximum oxygen uptake is reached, and HRMaxT is the moment when the maximum heart rate is reached.

[0023] Furthermore, the adaptive grading of exercise load in the optimal fat loss test module adopts the following grading power formula:

[0024] ;

[0025] Among them, LP is the exercise load power corresponding to the Nth level, and N is the current level;

[0026] The estimation formula of real-time energy consumption LostEnergy is:

[0027] ;

[0028] Among them, EE is the energy consumption rate during exercise, in kcal / day, and T is the total duration of each breath, in seconds.

[0029] Furthermore, the estimation formula of the real-time fat loss amount LostFatMess is:

[0030] ;

[0031] Among them, Kf is the fat calorific value, FatRate is the energy supply ratio of fat, which is calculated from RQ;

[0032] After eliminating the effect of protein, we get:

[0033] ;

[0034] ;

[0035] Among them, Fat is the energy supply ratio of fat, Cho is the energy supply ratio of carbohydrates, Kf and Kc are the calorific value of fat and carbohydrates respectively, Gf and Gc are the amount of fat and carbohydrates respectively, and Qf and Qc are the respiratory quotients produced by the complete oxidation reaction of fat and carbohydrates respectively.

[0036] Furthermore, the analysis host module M5 adjusts the exercise load in real time according to RQ, including the following five links:

[0037] At the beginning, in the first stage, if your heart rate reaches the maximum heart rate, reduce the exercise intensity by 1 level and maintain it for 2 ResponseTime duration. On the contrary, if RQ is less than or equal to 0.7, enter the fifth stage; if RQ is greater than 0.7 and less than 1, increase the exercise intensity by 1 level and maintain it for 2 ResponseTime duration: if RQ is greater than or equal to 1, reduce the exercise intensity by 1 level and enter the second stage;

[0038] In the second stage, if RQ is greater than or equal to 1, reduce the exercise intensity by 1 level and maintain 2 ResponseTime duration; if RQ is less than 1, enter the third stage;

[0039] In the third stage, if RQ increases, reduce the intensity by 1 level and maintain ResponseTime 2 hours, until RQ starts to decrease; if RQ drops to 0.7, enter the fourth stage;

[0040] In the fourth stage, if RQ is less than 0.7, reduce the exercise load by 1 level and maintain 2 ResponseTime duration, until RQ increases to 0.7, if RQ stabilizes at 0.7, reach 5 ResponseTime duration records the exercise load at this time as the optimal oxygen uptake SVO2 and exercise intensity SL for fat loss, and enters the fifth stage;

[0041] In the fifth stage, this regulation ends.

[0042] Furthermore, in the optimal fat loss training module, power regulation is performed according to a power function.

[0043] Furthermore, the calculation formulas for the total energy consumption LostEnergyT and the total fat consumption LostFatMessT are:

[0044] ;

[0045] ;

[0046] Where n is the number of breaths in the whole process.

[0047] Beneficial effects:

[0048] 1. The present invention measures the static and dynamic respiratory gases of the human body and calculates the respiratory quotient RQ (the ratio of carbon dioxide production to oxygen consumption in the same time) in real time, thereby measuring the energy supply mode of nutrients, and adjusting the exercise load to target the state of fat energy supply to achieve a scientific, accurate and efficient fat reduction effect, thereby solving the problems of difficulty in quantifying the fat reduction effect and difficulty in controlling the fat reduction process, avoiding the harm of blind fat reduction behavior to the human body, and making fat reduction behavior safer and more efficient.

[0049] 2. The present invention quantifies energy consumption by directly measuring respiratory gas conditions using the recognized "gold standard" indirect calorimetry method, and calculates the respiratory quotient RQ in real time to reflect the substrate energy supply, which is more scientific and accurate in quantifying energy consumption and fat reduction effects.

[0050] 3. The present invention uses real-time heart rate to effectively control exercise intensity and achieve fat loss in a more scientific and accurate manner.

[0051] 4. The present invention proposes an exercise load control method based on individual conditions, which realizes the change of substrate consumption through exercise load, realizes energy and fat consumption observation, and forms a closed loop of fat reduction behavior through exercise load control, so as to achieve efficient, scientific and accurate fat reduction effect. The present invention does not rely on energy intake for fat reduction.

[0052] 5. The present invention quantitatively calculates the energy consumption and fat-reducing effect during exercise in real time, and proposes a quantitative formula that conforms to physiological laws; the present invention uses the maximum heart rate as the exercise intensity evaluation standard to achieve more precise control.

[0053] 6. The present invention provides an integrated device integrating precise respiratory gas measurement, forming a closed loop of fat loss behavior based on energy and fat consumption observation and exercise load control, thereby achieving measurement of an individual's maximum fat loss state and training under the optimal fat loss state.

[0054] In summary, the present invention proposes a scientific integrated fat reduction device, which uses the "gold standard" method to quantify energy consumption and the energy supply of the three major nutrients; proposes a personalized exercise load automatic adjustment control method based on the maximum heart rate, the target indicator of control is the respiratory quotient, and the adjustment indicator is the exercise intensity (comparison of exercise heart rate and maximum heart rate), and the change of consumption substrate is achieved through exercise load, focusing on the most essential fat reduction problem. Compared with the existing fat reduction test and training device, the present invention does not consider the subjective energy intake, but only considers the breathing and heart rate conditions during rest and exercise that can be accurately measured, and introduces inertia time to make up for the relative delay of heart rate changes and oxygen uptake changes in the respiratory system and the blood circulation system, and then forms a closed loop of fat reduction behavior based on energy and fat consumption observation and exercise load control. Finally, by constructing a scientific and complete test and training process of "static-extreme-motion state", the measurement of individual maximum fat reduction state and training in the optimal fat reduction state are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic diagram of an integrated device of a scientific fat loss test and training integrated system of the present invention;

[0056] Figure 2 Schematic diagram of the adjustment strategy for analyzing the host module;

[0057] Figure 3 This is a schematic diagram of a testing and training system of the present invention, which is an integrated testing and training system for scientific fat loss.

[0058] Among them, the accompanying drawings are marked as: exercise load loading module M1, respiratory gas measurement module M2, physiological signal acquisition module M3, control communication module M4, analysis host module M5, basic information entry module S1, static information acquisition module S2, extreme information acquisition module S3, optimal fat reduction test module S4, optimal fat reduction training module S5, fat reduction evaluation report module S6. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0060] The present invention discloses a scientific fat-reducing test-training integrated system, which comprises an integrated device and a test-training system.

[0061] like Figure 1 As shown, the integrated device includes a motion load loading module M1, a respiratory gas measurement module M2, a physiological signal acquisition module M3, a control communication module M4 and an analysis host module M5.

[0062] The exercise load loading module M1 is used to apply a quantitative exercise load to the individual, so that the individual exercises in a predetermined manner, thereby achieving energy consumption, including but not limited to all equipment that can be used for exercise, such as a treadmill and a rowing machine;

[0063] The respiratory gas measurement module M2 is used to collect inhaled gas and exhaled gas and perform oxygen and carbon dioxide content analysis and calculation;

[0064] The physiological signal acquisition module M3 is used to collect blood oxygen, electrocardiogram, heart rate information and body fat rate information during individual exercise;

[0065] The control communication module M4 is used to realize the communication between the respiratory gas measurement module, the motion load module, the physiological signal acquisition module and the analysis host module, and is also used to control the operation of the gas measurement module, the motion load module and the physiological signal acquisition module;

[0066] The analysis host module M5 is a physical device connected to the control communication module M4, providing display, calculation, and input and output basic capabilities for data aggregation, calculation, analysis and human-computer interaction.

[0067] The control method of the analysis host module M5 includes:

[0068] Analysis host module M5 adjusts the motion load in real time according to RQ. The adjustment strategy is as follows: Figure 2 As shown, it includes the following steps:

[0069] 1) At the beginning, in the first stage (S==1), if the heart rate reaches the maximum heart rate, reduce it by 1 level ( Figure 2 L--) Exercise intensity and maintain 2 ResponseTime duration (similarly, according to Shannon sampling theorem, the sampling frequency is set to 2 times). On the contrary, if RQ is less than or equal to 0.7, enter the fifth stage; if RQ is greater than 0.7 and less than 1, increase 1 level ( Figure 2 L++) exercise intensity and maintain 2 ResponseTime duration: if RQ is greater than or equal to 1, reduce the exercise intensity by 1 level and enter the second stage;

[0070] 2) In the second stage (S==2), if RQ is greater than or equal to 1, reduce the exercise intensity by 1 level and maintain 2 ResponseTime duration; if RQ is less than 1, enter the third stage;

[0071] 3) In the third stage (S==3), if RQ increases, reduce the intensity by 1 level and maintain ResponseTime 2 hours, until RQ starts to decrease; if RQ drops to 0.7, enter the fourth stage;

[0072] 4) In the fourth stage (S==4), if RQ is less than 0.7, reduce the exercise load by 1 level and maintain 2 ResponseTime duration, until RQ increases to 0.7, if RQ stabilizes at 0.7, reach 5 ResponseTime duration records the exercise load at this time as the optimal oxygen uptake SVO2 for fat loss and exercise intensity SL (the ratio of current heart rate to maximum heart rate), and enters the fifth stage;

[0073] 5) In the fifth stage (S==5), this regulation ends.

[0074] according to Figure 2 As shown, the present invention proposes an efficient fat loss control algorithm based on RQ and adaptive exercise load, which conforms to the law of energy supply and consumption of the human body. It is divided into five links, adjusting the exercise load from small to large and then from large to small, reducing anaerobic exercise interference, first consuming a large amount of human glycogen, and then gradually mobilizing fat for energy supply.

[0075] like Figure 3 As shown, the testing and training system includes a basic information entry module S1, a static information collection module S2, an extreme information collection module S3, an optimal fat loss test module S4, an optimal fat loss training module S5, and a fat loss evaluation report module S6. The testing and training system is embedded in the analysis host module M5 as software.

[0076] The basic information input module S1 can input and store the subject information, including number, name, gender, age, height and weight, in the analysis host module M5 for estimating metabolic equivalent, exercise intensity and body fat percentage.

[0077] The static information acquisition module S2 can realize the measurement of resting heart rate RHR and resting energy consumption rate RER. The processing flow is as follows: the operator operates the analysis host module M5 to send a test instruction to the control communication module M4, and then the control communication module M4 sends a synchronous acquisition instruction to the physiological signal acquisition module M3 and the respiratory gas measurement module M2. The subject is still, and the data of each module is transmitted back to the analysis host module M5 at a fixed frequency through the control communication module M4. After being processed by the static information acquisition module S2, the resting heart rate RHR and the resting energy consumption rate RER are obtained. The calculation formula is as follows:

[0078] ;

[0079] RHN is the number of heartbeats in time T, and T is the duration in minutes.

[0080] ;

[0081] ;

[0082] ;

[0083] Among them, O2R is the oxygen consumption rate, unit is ml / min, V02 is the total amount of oxygen consumed in T time, unit is ml, T is the duration, unit is minute; similarly, CO2R is the carbon dioxide production rate.

[0084] The extreme state information acquisition module S3 can realize the measurement of maximum oxygen uptake VO2Max, maximum heart rate measurement HRMax, maximum load power MaxPower and inertia time ResponseTime. The steps are as follows: the operator operates the analysis host module M5 to send a test instruction to the control communication module M4, and then the control communication module M4 sends a synchronous acquisition instruction to the physiological signal acquisition module M3 and the respiratory gas measurement module M2, and sends an execution of a step-by-step intensity progressive exercise load instruction to the exercise load loading module M1. The subject starts to do the follow-up exercise, and the data of each module is sent back to the control communication module M4 at a fixed frequency. It is transmitted to the analysis host module M5, processed in real time by the extreme information acquisition module S3, and the heart rate and oxygen intake rate are calculated every 30 seconds (the breathing rate is usually more than 5 times / minute, about once every 12 seconds or more. According to Shannon's sampling theorem, the sampling frequency should be greater than 2 times the highest frequency of the target signal, so it is set to 30 seconds). When the heart rate and oxygen intake rate no longer continue to increase, the measurement is stopped (the numerical CV coefficient within the window period is within 10%), and the maximum oxygen uptake VO2Max, the maximum heart rate measurement HRMax, the maximum load power MaxPower and the inertia time ResponseTime are calculated. Among them, the present invention innovatively constructs a formula that increases the power load step by step and uses a power function formula to achieve rapid power increase in the initial stage, and the power increases slowly in the later stage to more accurately calculate the maximum oxygen uptake VO2Max, the maximum heart rate measurement MHR and the maximum load power MaxPower. The formula is as follows:

[0085] ;

[0086] Among them, Power is the target power of the exercise load module M1, T is the time, PV is the power growth rate per unit time, PV is calculated by the maximum power MaxP that the exercise load device can perform and the entire step-by-step operation time MaxT PV = MaxP / MaxT, n is the adjustment factor (n is greater than or equal to 1), which can control the power increase curve. The larger the value, the slower the curve. n can be adjusted according to the individual resting heart rate. The lower the resting heart rate, the smaller n.

[0087] The maximum oxygen uptake VO2Max is defined as the oxygen intake that does not increase with the power within a certain period of time under the step-by-step intensity progressive exercise load test; the maximum heart rate measurement HRMax is defined as the heart rate that does not increase with the power within a certain period of time under the step-by-step intensity progressive exercise load test; the inertia time ResponseTime represents the time that the maximum oxygen uptake lags behind the maximum heart rate. Its physiological basis is that since the human body is a large system, the heart increases its blood supply capacity and thus increases the oxygen consumption demand, which promotes oxygen intake. Therefore, when the oxygen consumption increases, the heart rate changes faster than the exhaled gas composition changes. Therefore, when performing RQ observation, it is necessary to ensure sufficient time (greater than or equal to ResponseTime) to effectively evaluate the energy supply situation. Therefore, the present invention innovatively constructs the following calculation formula:

[0088] ;

[0089] Among them, VO2MaxT is the moment when the maximum oxygen uptake is reached, and HRMaxT is the moment when the maximum heart rate is reached.

[0090] The optimal fat loss test module S4 can realize automatic adjustment of exercise load and real-time observation of the energy supply ratio of the three major nutrients, estimate the fat loss per breath LostFatMess and the energy consumption per breath LostEnergy, including adaptive classification of exercise load. The present invention innovatively constructs the following classification power formula:

[0091] ;

[0092] Among them, LP is the exercise load power corresponding to the Nth level, and N is the current level.

[0093] The present invention innovatively constructs the following estimation formula for real-time energy consumption LostEnergy:

[0094] ;

[0095] Among them, EE is the energy consumption rate during exercise, in kilocalories / day (refer to the RER calculation formula), and T is the total duration of each breath, in seconds.

[0096] The present invention innovatively constructs the following real-time fat loss estimation formula:

[0097] ;

[0098] Among them, Kf is the calorific value of fat, which is usually 9.4kcal / g clinically, and FatRate is the proportion of fat energy supply, which is calculated from RQ. From the perspective of actual measurement, protein measurement requires 24-hour urine collection, and 24-hour urine nitrogen measurement requires hospitalization measurement in the hospital, which is not convenient for non-patients; at the same time, when there is no disease in the body, protein hardly participates in energy supply, and is mainly used for enzyme synthesis and other functions; even if protein participates in energy supply, the impact of its energy supply only accounts for less than 1% of the total energy, which can be ignored, so the impact of protein is eliminated. Therefore, the present invention innovatively constructs the following formula to eliminate the impact of protein:

[0099] ;

[0100] ;

[0101] Among them, Fat is the energy supply ratio of fat, Cho is the energy supply ratio of carbohydrates, Kf and Kc are the calorific value of fat and carbohydrates respectively, Gf and Gc are the amount of fat and carbohydrates respectively, and Qf and Qc are the respiratory quotients produced by the complete oxidation reaction of fat and carbohydrates respectively.

[0102] The optimal fat loss training module S5 can perform fat loss exercise according to the optimal fat loss parameters calculated by the optimal fat loss test module S4 and set the parameters. The specific power adjustment is performed according to the power function:

[0103] ;

[0104] Among them, Power is the target power of the exercise load module M1, T is the time, PV is the power increase per unit time, and PV is calculated by the exercise intensity measured by the optimal fat loss test module S4 and the prescribed step-by-step running time MaxT. PV = SL MaxP / MaxT, n is the adjustment factor (n is greater than or equal to 1), which can control the power increase curve. The larger the value, the slower the curve. SL is defined as the exercise intensity, which is the ratio of the subject's heart rate when it is optimal for fat loss to the maximum heart rate. It can be measured in the optimal fat loss state test phase; MaxP is defined as the maximum power that the exercise load device can perform. When the exercise intensity reaches SL MaxP remains unchanged, n can be set according to the resting heart rate RHR and the maximum heart rate HRMax. The closer the RHR is to HRMax, the larger n is. Its physiological significance is that the closer the resting heart rate of the individual is to the maximum heart rate, the weaker the cardiopulmonary capacity is.

[0105] The fat loss assessment report module S6 can calculate the total energy consumption LostEnergyT and the total fat consumption LostFatMessT according to the operation process of the optimal fat loss test module S4 and the optimal fat loss training module S5, and draw the exercise power process curve, respiratory quotient process curve, heart rate process curve, energy consumption process curve and oxygen uptake process curve. The present invention innovatively constructs the following calculation formula:

[0106] ;

[0107] ;

[0108] Where n is the number of breaths in the whole process.

Claims

1. A scientific fat loss test and training integrated system, characterized in that: Includes integrated device and testing and training system; The integrated device includes a motion load loading module, a breathing gas measurement module, a physiological signal acquisition module, a control communication module and an analysis host module; the motion load loading module is used to apply a quantitative motion load to the individual, so that the individual exercises in a predetermined manner, thereby achieving energy consumption; the breathing gas measurement module is used to collect inhaled gas and exhaled gas and perform oxygen and carbon dioxide content analysis and calculation; the physiological signal acquisition module is used to collect blood oxygen, electrocardiogram, heart rate information and body fat rate information during individual exercise; the control communication module is used to realize the communication between the breathing gas measurement module, the motion load module, the physiological signal acquisition module and the analysis host module, and is also used to control the operation of the gas measurement module, the motion load module and the physiological signal acquisition module; the analysis host module is used for data aggregation, calculation, analysis and human-computer interaction; The test and training system is embedded in the analysis host module, and includes a basic information entry module, a static information collection module, an extreme information collection module, an optimal fat loss test module, an optimal fat loss training module, and a fat loss evaluation report module; the basic information entry module is used to enter the subject information in the analysis host module; The static information acquisition module is used to measure the resting heart rate RHR and the resting energy consumption rate RER; the extreme information acquisition module is used to measure the maximum oxygen uptake VO2Max, the maximum heart rate measurement HRMax, the maximum load power MaxPower and the inertia time ResponseTime; the optimal fat loss test module is used to automatically adjust the exercise load and observe the energy supply ratio of the three major nutrients in real time, estimate the fat loss amount per breath LostFatMess and the energy consumption per breath LostEnergy, and perform adaptive exercise load classification; the optimal fat loss training module performs fat loss exercise according to the optimal fat loss parameters calculated by the optimal fat loss test module and sets the parameters.

2. A scientific fat loss test and training integrated system according to claim 1, characterized in that: The analysis host module sends a test instruction to the control communication module, and then the control communication module sends a synchronous acquisition instruction to the physiological signal acquisition module and the respiratory gas measurement module. The subject is still, and the data of each module is transmitted back to the analysis host module at a fixed frequency through the control communication module. After being processed by the static information acquisition module, the resting heart rate RHR and resting energy expenditure rate RER are obtained.

3. The scientific fat loss test and training integrated system according to claim 1, characterized in that: The analysis host module sends a test instruction to the control and communication module, which then sends a synchronous acquisition instruction to the physiological signal acquisition module and the respiratory gas measurement module, and sends an instruction to execute a step-by-step progressive exercise load to the exercise load loading module. The subject starts to do follow-up exercise, and the data of each module is transmitted back to the analysis host module at a fixed frequency through the control and communication module. After real-time processing by the extreme information acquisition module, the heart rate and oxygen intake rate are calculated every 30 seconds. When the heart rate and oxygen intake rate no longer continue to increase, the measurement is stopped, and the maximum oxygen uptake VO2Max, maximum heart rate measurement HRMax, maximum load power MaxPower and inertia time ResponseTime are calculated.

4. A scientific fat loss test and training integrated system according to claim 3, characterized in that: The formula for the progressive intensity of the exercise load module is as follows: ； Among them, Power is the target power of the motion load loading module M1, T is the time, PV is the power growth rate per unit time, PV is calculated by the maximum power MaxP that the motion load device can execute and the entire step-by-step operation time MaxT PV =MaxP / MaxT, n is the adjustment factor, n is greater than or equal to 1.

5. A scientific fat loss test and training integrated system according to claim 4, characterized in that: Inertia time ResponseTime represents the time that the maximum oxygen uptake lags behind the maximum heart rate. The calculation formula is: ； Among them, VO2MaxT is the moment when the maximum oxygen uptake is reached, and HRMaxT is the moment when the maximum heart rate is reached.

6. The scientific fat loss test and training integrated system according to claim 1, characterized in that: The adaptive grading of exercise load in the optimal fat loss test module adopts the following grading power formula: ； Among them, LP is the exercise load power corresponding to the Nth level, and N is the current level; The estimation formula of real-time energy consumption LostEnergy is: ； Among them, EE is the energy consumption rate during exercise, in kcal / day, and T is the total duration of each breath, in seconds.

7. A scientific fat loss test and training integrated system according to claim 6, characterized in that: The estimation formula of real-time fat loss LostFatMess is: ； Among them, Kf is the fat caloric value, FatRate is the energy supply ratio of fat, which is calculated from RQ; After eliminating the effect of protein, we get: ； ； Among them, Fat is the energy supply ratio of fat, Cho is the energy supply ratio of carbohydrates, Kf and Kc are the calorific value of fat and carbohydrates respectively, Gf and Gc are the amount of fat and carbohydrates respectively, and Qf and Qc are the respiratory quotients produced by the complete oxidation reaction of fat and carbohydrates respectively.

8. The scientific fat loss test and training integrated system according to claim 5, characterized in that: The analysis host module M5 adjusts the exercise load in real time according to RQ, including the following five links: At the beginning, in the first stage, if your heart rate reaches the maximum heart rate, reduce the exercise intensity by 1 level and maintain it for 2 ResponseTime duration. On the contrary, if RQ is less than or equal to 0.7, enter the fifth stage; if RQ is greater than 0.7 and less than 1, increase the exercise intensity by 1 level and maintain it for 2 ResponseTime duration: if RQ is greater than or equal to 1, reduce the exercise intensity by 1 level and enter the second stage; In the second stage, if RQ is greater than or equal to 1, reduce the exercise intensity by 1 level and maintain 2 ResponseTime duration; If RQ is less than 1, enter the third stage; In the third stage, if RQ increases, reduce the intensity by 1 level and maintain ResponseTime 2 hours, until RQ starts to decrease; if RQ drops to 0.7, it enters the fourth stage; In the fourth stage, if RQ is less than 0.7, reduce the exercise load by 1 level and maintain 2 ResponseTime duration, until RQ increases to 0.7, if RQ stabilizes at 0.7, reach 5 ResponseTime duration records the exercise load at this time as the optimal oxygen uptake SVO2 and exercise intensity SL for fat loss, and enters the fifth stage; In the fifth stage, this regulation ends.

9. The scientific fat loss test and training integrated system according to claim 1, characterized in that: In the optimal fat loss training module, power regulation is performed according to a power function.

10. The scientific fat loss test and training integrated system according to claim 1, characterized in that: The calculation formulas for total energy consumption LostEnergyT and total fat consumption LostFatMessT are: ； ； Where n is the number of breaths in the whole process.

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