The present invention relates to a method for monitoring an exercise, and more particularly to a method for monitoring an exercise by building up an energy metabolism system.
A combination of many factors must be taken into account in evaluating the exercise condition. The factors may come from the interior of the body or the external environment. Therefore, how to use the limited computer resource (e.g., energy metabolism system) to precisely evaluate exercise condition (e.g., stamina, training load, fatigue or recovery) is very hard.
Conventionally, aerobic energy metabolism system and anaerobic energy metabolism system are both used in the algorithm for evaluating the exercise condition (e.g stamina, training load, fatigue or recovery). The aerobic energy expenditure and the anaerobic energy expenditure are respectively estimated in aerobic energy metabolism system and anaerobic energy metabolism system. Once the energy expenditure resulting from exercise is estimated, how to precisely dividing the energy expenditure into the aerobic energy expenditure and the anaerobic energy expenditure is very important in precisely evaluating exercise condition. Generally, the energy expenditure is divided into the aerobic energy expenditure and the anaerobic energy expenditure mainly based on the algorithm using, the exercise intensity including the parameter of the internal workload (e.g., heart rate) or the parameter of the external workload (e.g., velocity or power). However, the algorithm using the exercise intensity still doesn't reflect real physiological status of the human body.
Accordingly, the present invention proposes a method for monitoring an exercise by building up at energy metabolism system to overcome the above-mentioned disadvantages.
The present invention builds up a mathematical model describing that an energy expenditure depends on the exercise intensity and the degree of active participation of the organism of the human body for the energy metabolism system. Compared to the prior art, the algorithm of the mathematical model further uses the degree of active participation of the organism of the human body. The degree of active participation of the organism of the human body is more suitable to be used for evaluating whether the energy metabolism of the organism of the human body is thriving or not than the exercise intensity because the degree of active participation of the organism of the human body is associated with the metabolism of the human body directly (i.e. more directly than the exercise intensity). Therefore, the algorithm of the mathematical model further using the degree of active participation of the organism of the human body can largely reflect real physiological status of the human body so as to further precisely evaluate exercise condition.
In the present invention, the degree of active participation of the organism varying with the exercise intensity is an important technical feature. The physiological status of the human body changes as the exercise intensity changes. For the organism of the human body having the relationship between the degree of active participation of the organism of the human body and the exercise intensity, the degree of active participation also changes as the exercise intensity changes. Therefore, once the physiological status of the human body changes, the algorithm of the mathematical model further using the variable degree of active participation of the organism of the human body can precisely estimate the energy expenditure in step 204 and further precisely evaluate exercise condition in step 205 so as to precisely reflect real-time physiological status of the human body.
In the present invention, that the degree of active participation of each of the components of the organism of the human body may vary with the exercise intensity is an important technical feature. The physiological status of the human body changes as the exercise intensity changes. For each of the components of the organism of the human body having the relationship between the degree of active participation of the component and the exercise intensity, the degree of active participation also changes as the exercise intensity changes. Therefore, once the physiological status of the human body changes, the algorithm of the mathematical model further using the degree of active participation of each of the components of the organism of the human body can precisely estimate the energy expenditure of each energy metabolism system built up for the corresponding component of the organism of the human body based on the degree of active participation AP of each component of the organism of the human body, e.g., in step 404a and in step 404b, (especially, precisely divide the reference energy expenditure into the energy expenditure of each energy metabolism system built up for the corresponding component of the organism of the human body) and further precisely evaluate exercise condition based on the energy expenditure of each energy metabolism system built up for the corresponding component of the organism of the human body, e.g., in step 405 so as to precisely reflect real-time physiological status of the human body.
By the algorithm implemented in the computer of the present invention, the computer of the present invention performs operations described in claims or the following descriptions to building up an energy metabolism system to monitoring an exercise.
In one embodiment, the present invention discloses a method for monitoring an exercise. The method comprises: acquiring a relationship between a degree of active participation of an organism of a human body and an exercise intensity; building up an energy metabolism system and building up a mathematical model describing that an energy expenditure depends on the exercise intensity and the degree of active participation of the organism of the human body for the energy metabolism system; determining the degree of active participation of the organism based on the exercise intensity measured in the exercise by the relationship; using the exercise intensity and the degree of active participation of the organism to estimate the energy expenditure by the mathematical model of the energy metabolism system; and monitoring the exercise based on the energy expenditure.
In one embodiment, the present invention discloses a method for monitoring an exercise. The method comprises: acquiring a first relationship between a first degree of active participation of a first component of an organism of a human body and an exercise intensity; acquiring a second relationship between a second degree of active participation of a second component, of the organism, of the human body and the exercise intensity; building up a first energy metabolism system, and building up a first mathematical model describing that a first energy expenditure depends on the exercise intensity, the first degree of active participation of the first component and the second degree of active participation of the second component for the first energy metabolism system; building up a second energy metabolism system, and building up a second mathematical model describing that a second energy expenditure depends on the exercise intensity, the first degree of active participation of the first component and the second degree of active participation of the second component for the second energy metabolism system; determining the first degree of active participation of the first component based on the exercise intensity measured in the exercise by the first relationship; determining the second degree of active participation of the second component based on the exercise intensity measured in the exercise by the second relationship, using the exercise intensity, the first degree of active participation of the first component and the second degree of active participation of the second component to estimate the first energy expenditure by the first mathematical model of the first energy metabolism system; using the exercise intensity, the first degree of active participation of the first component and the second degree of active participation of the second component to estimate the second energy expenditure by the second mathematical model of the second energy metabolism system; and monitoring the exercise based on the first energy expenditure and the second energy expenditure.
In one embodiment, the present invention discloses a method for monitoring an exercise. The method comprises: acquiring a first relationship between a first degree of active participation of a plurality of hist-switch muscle fibers of a skeletal muscle system of a human body and an exercise intensity measured by a sensor; acquiring a second relationship between a second degree of active participation of a plurality of slow-switch muscle fibers of the skeletal muscle system of the human body and the exercise intensity measured by the sensor; building up a first energy metabolism system, and building up a first mathematical model describing that a first energy expenditure depends on the exercise intensity, the first degree of active participation of the plurality of fast-switch muscle fibers and the second degree of active participation of the plurality of slow-switch muscle fibers for the first energy metabolism system; building up a second energy metabolism system, and building up a second mathematical model describing that a second energy expenditure depends on the exercise intensity, the first degree of active participation of the plurality of fast-switch muscle fibers and the second degree of active participation of the plurality of slow-switch muscle fibers for the second energy metabolism system; determining the first degree of active participation of the plurality of fast-switch muscle fibers based on the exercise intensity measured in the exercise by the first relationship; determining the second degree of active participation of the plurality of slow switch muscle fibers based on the exercise intensity measured in the exercise by the second relationship; using the exercise intensity, the first degree of active participation of the plurality of fast-switch muscle fibers and the second degree of active participation of the plurality of slow-switch muscle fibers to estimate the first energy expenditure by the first mathematical model of the first energy metabolism system; using the exercise intensity, the first degree of active participation of the plurality of fast-switch muscle fibers and the second degree of active participation of the plurality of slow-switch muscle fibers to estimate the second energy expenditure by the second mathematical model of the second energy metabolism system, and monitoring the exercise based on the first energy expenditure and the second energy expenditure.
The detailed technology and above preferred embodiments implemented for the present invention are described in the following paragraphs accompanying the appended drawings for people skilled in the art to well appreciate the features of the claimed invention.
The foregoing aspects and many of the accompanying advantages of this invention will become more readily appreciated as the same becomes better understood by reference to the following detailed description when taken in conjunction with the accompanying drawings, wherein:
The detailed explanation of the present invention is described as following. The described preferred embodiments are presented for purposes of illustrations and description and they are not intended to limit the scope of the present invention.
Definition of the Terms
The Organism of the Human Body
The organism may be an organic entity. The human body is composed of many biological systems, such as muscular system, respiratory system, digestive system, cardiovascular system, skeletal system and nervous system. The organism may be one of a plurality of biological systems of the human body. The organism nay be also a complete human body. As long as the organism of the human body has a relationship between the degree of active participation of the organism of the human body and the exercise intensity (preferably, the degree of active participation of the organism varies with the exercise intensity), the mathematical model of the enemy metabolism system built up for the organism of the human body can take the relationship into account.
The Degree of Active Participation of the Organism
The degree of active participation of the organism of the human body is a parameter used for evaluating whether the energy metabolism of the organism of the human body is thriving or not. The degree of active participation may be presented in any suitable form. For example, the organism has 100 cells, 80 cells are active, 20 cells are inactive, the degree of active participation is 80% if the degree of active participation is presented in the form of a ratio of the number of the active cells in the organism to the number of the total cells in the organism; the degree of active participation is 4 if the degree of active participation is presented in the form of a ratio of the number of the active cells in the organism to the number of the inactive cells in the organism. For how to distinguish the word “active” from the word “inactive”, an active threshold may be defined such the it is called “active” above the active threshold and it is called “inactive” below the active threshold. The active threshold may be fixed or variable.
Exercise Intensity
The exercise intensity may refer to bow much energy is expended when exercising. The exercise intensity may define how hard the body has to work to overcome a task/exercise. Exercise into may be measured in the form of the internal workload. The parameter of the exercise intensity associated with the internal workload may be associated with a heart rate, an oxygen consumption, a pulse, a respiration rate and RPE (rating perceived exertion). The exercise intensity may be measured in the form of the external workload. The parameter of the exercise intensity associated with the external workload may be associated with a speed, a power, a force, a motion intensity, an energy expenditure rate, a motion cadence or other kinetic data created by the external workload resulting in energy expenditure. The heart rate may be often used as a parameter of the exercise intensity.
The method in the present invention can be applied in all kinds of apparatuses, such as an exercise measurement system, a wrist top device, a mobile device, a server or a combination of at least one of the exercise measurement system, the wrist top device, the mobile device and the server.
In Step 202: building up an energy metabolism system 301 and building up a mathematical model 303 describing that an energy expenditure depends on the exercise intensity and the degree of active participation AP of the organism of the human body for the energy metabolism system 301 (by a process unit 102).
In Step 203: determining the degree of active participation AP of the organism based on the exercise intensity measured in the exercise by the relationship 302. Once the exercise intensity is determined, the degree of active participation AP of the organism can be determined by the relationship 302.
In Step 204: using the exercise intensity and the degree of active participation AP of the organism to estimate the energy expenditure by the mathematical model 303 of the energy metabolism system 301 (by the process unit 102). In one embodiment, determine a reference energy expenditure based on the exercise intensity; and estimate the energy expenditure based on the degree of active participation AP of the organism and the reference energy expenditure. The reference energy expenditure may be an additional energy expenditure of the human body resulting from the exercise, so the reference energy expenditure may exclude the basic metabolism energy of the human body. The reference energy expenditure may be determined by any suitable method. For example, if the exercise intensity is presented in the form of the velocity, the reference energy expenditure may be acquired by the formula: the reference energy expenditure=0.5*the mass of the human body*velocity2. If the exercise intensity is presented in the form of the energy expenditure rate, the reference energy expenditure may be acquired by the formula: the reference energy expenditure=the energy expenditure rate*exercise time; however, the present invention is not limited to these cases. The energy expenditure may be estimated by the formula: the reference energy expenditure*ratio Y; the ratio Y may be adjusted based on the degree of active participation AP of the organism, or the ratio Y may be adjusted based on a combination of the degree of active participation AP of the organism and any other associated parameter. The relationship between the ratio Y and the degree of active participation AP of the organism may be shown in
In Step 205: monitoring the exercise based on the energy expenditure (by the process unit 102). The energy metabolism system 301 may have an energy reserve, wherein the exercise is monitored based on a ratio of the energy expenditure to the energy reserve. The details may be shown in step 405. Monitoring the exercise may comprise estimating the exercise-monitoring parameters based on the energy expenditure and displaying words, a voice or an image generated based on the exercise-monitoring parameters to remind the user taking exercise by the output unit 104 of the electronic apparatus 100. Monitoring the exercise may comprise estimating the exercise-monitoring parameters based on the energy expenditure and providing exercise guiding or exercise suggestion for the user taking exercise. The exercise-monitoring parameters may comprise stamina, training load, injury risk, fatigue or recovery.
In the present invention, the degree of active participation AP of the organism varying with the exercise intensity is an important technical feature. The physiological status of the human body changes as the exercise intensity changes. For the organism of the human body having the relationship between the degree of active participation AP of the organism of the human body and the exercise intensity, the degree of active participation also changes as the exercise intensity changes. Therefore, once the physiological status of the human body changes, the algorithm of the mathematical model further using the variable degree of active participation AP of the organism of the human body can precisely estimate the energy expenditure in step 204 and further precisely evaluate exercise condition in step 205 so as to precisely reflect real-time physiological status of the human body.
The process in
In step 402a: build up a first energy metabolism system 501, and build up a first mathematical model 503 describing that a first energy expenditure depends on the exercise intensity, the first degree of active participation AP1 of the first component and the second degree of active participation AP2 of the second component for the first energy metabolism system 501 (by a process unit 102). In step 402b: build up a second energy metabolism system 511, and build up a second mathematical model 513 describing that a second energy expenditure depends on the exercise intensity, the first degree of active participation AP1 of the first component and the second degree of active participation AP2 of the second component for the second energy metabolism system 511 (by the process unit 102). The first threshold of the exercise intensity, above which the first energy metabolism system 501 is operated, may be larger than the second threshold of the exercise intensity, above which the second energy metabolism system 511 is operated.
In step 403a: determine the first degree of active participation AP1 of the first component based on the exercise intensity measured in the exercise by the first relationship 502. In step 403b: determine the second degree of active participation AP2 of the second component based on the exercise intensity measured in the exercise by the second relationship 512. Once the exercise intensity is determined, the first degree of active participation AP1 of the first component and the second degree of active participation AP2 can be respectively determined by the first relationship 502 and the second relationship 512.
In step 404a: use the exercise intensity, the first degree of active participation AP1 of the first component and the second degree of active participation AP2 of the second component, to estimate the first energy expenditure by the first mathematical model 503 of the first energy metabolism system 501 (by the process unit 102). In step 404b: use the exercise intensity, the first degree of active participation AP1 of the first component and the second degree of active participation AP2 of the second component to estimate the second energy expenditure by the second mathematical model 513 of the second energy metabolism system 511 (by the process unit 102). In one embodiment, determine a reference energy expenditure based on the exercise intensity; and estimate the first energy expenditure and the second energy expenditure based on the first degree of active participation AP1 of the first component, the second degree of active participation AP2 of the second component and the reference energy expenditure. Each of the first energy expenditure and the second energy expenditure may be estimated based on a ratio of the first degree of active participation AP1 of the first component to the second degree of active participation AP2 of the second component. Each of the first energy expenditure and the second energy expenditure may be estimated based on a ratio of the first degree of active participation AP1 of the first component to the second degree of active participation AP2 of the second component and the reference energy expenditure. The reference energy expenditure may be an additional energy expenditure of the human body resulting from the exercise, so the reference energy expenditure may exclude the basic metabolism energy of the human body. The reference energy expenditure may be determined by any suitable method. For example, if the exercise intensity is presented in the form of the velocity, the reference energy expenditure may be acquired by the formula: the reference energy expenditure=0.5*the mass of the human body*velocity2. If the exercise intensity is presented in the form of the energy expenditure rate, the reference energy expenditure may be acquired by the formula: the reference energy expenditure=the energy expenditure rate*exercise time; however, the present invention is not limited to these cases.
In step 405; monitor the exercise based on the first energy expenditure and the second energy expenditure (by the process unit 102). The first energy metabolism system 501 may have a first energy reserve and the second energy metabolism system 511 may have a second energy reserve, wherein the exercise is monitored based on a first ratio of the first energy expenditure to the first energy reserve and a second ratio of the second energy expenditure to the second energy reserve. Monitoring the exercise may comprise estimating the exercise-monitoring parameters based on the energy expenditure (the first energy expenditure and the second energy expenditure) and displaying words, a voice or an image generated based on the exercise-monitoring parameters to remind the user taking exercise by the output unit 104 of the electronic. apparatus 100. Monitoring the exercise may comprise estimating the exercise-monitoring parameters based on the energy expenditure (the first energy expenditure and the second energy expenditure) and providing exercise guiding or exercise suggestion for the user taking exercise. The exercise-monitoring parameters may comprise stamina, training load, injury risk, fatigue or recovery.
The following specifically describes each step in
The method 400 in
For convenience to describe the embodiment A1 using the method 400 in
In the embodiment A1, the feature that the degree of active participation AP of the organism varies with the exercise intensity in the skeletal muscle system of the human body is used as the energy metabolism feature associated with the mathematical model of the energy metabolism system; however, as long as any other organism of the human body has this feature, the feature can be used as the energy metabolism feature associated with the mathematical model of the energy metabolism system for it.
Acquire the relationship 502 between the degree of active participation AP1 of type IIa muscle fibers and the exercise intensity (step 401a). Acquire the relationship 512 between the second degree of active participation AP2 of type I muscle fibers and the exercise intensity (step 401b). Type I muscle fibers, type IIa muscle fibers and type IIx muscle fibers are called the overall muscle fibers.
Build up the energy metabolism system 501 of type IIa muscle fibers, and build up the mathematical model 503 describing that the first energy expenditure depends on the exercise intensity, the degree of active participation AP1 of type IIa muscle fibers and the degree of active participation AP2 of type I muscle fibers for energy metabolism system 501 of type IIa muscle fibers (step 402a). Build up the energy metabolism system 511 of type I muscle fibers, and build up the mathematical model 513 describing that the second energy expenditure depends on the exercise intensity, the degree of active participation AP1 of type Ila muscle fibers and the degree of active participation AP2 of type I muscle fibers for the energy metabolism system 511 of type I muscle fibers (step 402b).
Determine the degree of active participation AP1 of type Ila muscle fibers based on the exercise intensity measured in the exercise by the relationship 502 in
Use the exercise intensity, the degree of active participation AP1 of type IIa muscle fibers and the degree of active participation AP2 of type I muscle fibers to estimate the first energy expenditure by the mathematical model 503 of the energy metabolism system 501 of type Ila muscle fibers (step 404a). Use the exercise intensity, the degree of active participation AP1 of type IIa muscle fibers and the degree of active participation AP2 of type I muscle fibers to estimate the second energy expenditure by the mathematical model 513 of the energy metabolism system 511 of type I muscle fibers (step 404b). In one embodiment, determine a reference energy expenditure based on the exercise intensity; and estimating the first energy expenditure and the second energy expenditure based on the degree of active participation AP1 of type IIa muscle fibers, the degree of active participation AP2 of type I muscle fibers and the reference energy expenditure. For example, each of the first energy expenditure and the second energy expenditure may be estimated based on a ratio of the degree of active participation AP1 of type IIa muscle fibers to the degree of active participation AP2 of type I muscle fibers. Take a simple example (I), see
Monitor the exercise based on the first energy expenditure and the second energy expenditure (step 405). Take estimating stamina (determined by taking U.S. application Ser. No. 14/718,104 as a reference) for example: the energy metabolism system of type Ila muscle fibers has an energy reserve 5000 J and the energy metabolism system of type I muscle fibers has an energy reserve 10000 J; if the first energy expenditure is about 886 J and the second energy expenditure is about 1034 J by taking example (I) as a reference, the first remaining energy ratio of the energy metabolism system of type IIa muscle fibers is 82.28% (1−886/5000) and the second remaining energy ratio of the energy metabolism system of type muscle fibers is 89.66% (1−1034/10000); the stamina may be a function of the first remaining energy ratio R1 and the second remaining energy ratio R2, such as c1*R1+c2*R2 (each of the coefficients c1, c2 is positive, and each of the coefficients c1, c2 may be fixed or variable according to the observation of the physiological phenomenon).
Although the first component and the second component in the embodiment A1 are respectively type IIa muscle fibers and type I muscle fibers of the skeletal muscle system, the first component and the second component in the present invention may be respectively fast-switch muscle fibers and slow-switch muscle fibers of the skeletal muscle system, or type IIx muscle fibers and type IIa muscle fibers of the skeletal muscle system or type IIx muscle fiber and type I muscle fibers of the skeletal muscle system.
In the present invention, that the degree of active participation AP of each of the components of the organism of the human body may vary with the exercise intensity is an important technical feature. The physiological status of the human body changes as the exercise intensity changes. For each of the components of the organism of the human body having the relationship between the degree of active participation AP of the component and the exercise intensity, the degree of active participation AP also changes as the exercise intensity changes. Therefore, once the physiological status of the human body changes, the algorithm of the mathematical model further using the degree of active participation AP of each of the components of the organism of the human body can body can precisely estimate the energy expenditure of each energy metabolism system built up for the corresponding component of the organism of the human body based on the degree of active participation AP of each component of the organism of the human body, e.g., in step 404a and in step 404b, (especially, precisely divide the reference energy expenditure into the energy expenditure of each energy metabolism system built up for the corresponding component of the organism of the human body) and further precisely evaluate exercise condition based on the energy expenditure of each energy metabolism system built up for the corresponding component of the organism of the human body, e.g., in step 405 so as to precisely reflect real-time physiological status of the human body.
The above disclosure is related to the detailed technical contents and inventive features thereof. People skilled in the art may proceed with a variety of modifications and replacements based on the disclosures and suggestions of the invention as described without departing from the characteristics thereof. Nevertheless, although such modifications and replacements are not fully disclosed in the above descriptions, they have substantially been covered in the following claims as appended.