CN106264451B - Exercise heat source analysis method and device - Google Patents
Exercise heat source analysis method and device Download PDFInfo
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- CN106264451B CN106264451B CN201610570731.9A CN201610570731A CN106264451B CN 106264451 B CN106264451 B CN 106264451B CN 201610570731 A CN201610570731 A CN 201610570731A CN 106264451 B CN106264451 B CN 106264451B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4866—Evaluating metabolism
Abstract
Exercise heat source analysis method and device provided by the invention obtains the eartbeat interval of user, and obtains the real-time heart rate of user.Average heart rate and maximum heart rate between obtaining user during exercise according to the real-time heart rate of user in section.The power spectrum of the eartbeat interval of user is obtained, and obtains the autonomic nerve balance of user.It obtains the body index parameter of user and obtains basal metabolic rate；And according to the total amount of heat consumed in basal metabolic rate, average heart rate, maximum heart rate and body index gain of parameter run duration section.It is obtained in run duration section according to real-time heart rate and pre-stored energetic supersession model, the perrcentage depletion of fatty acid, glycogen, protein and phosphocreatine, and is multiplied to obtain heat consumed by above-mentioned four kinds of substances with the total amount of heat of consumption.Compared with existing device, ratio shared by each component in the heat of consumption cannot be counted by improving existing device, be unfavorable for the problem of user is best understood from movement effects.
Description
Technical field
The present invention relates to fields of measurement, in particular to a kind of exercise heat source analysis method and device.
Background technique
With the development and the improvement of people's living standards of society, more and more people have started the life of sport and body-building
It is living, the wearable device for being able to record movement consumption of calorie is produced therewith.
The existing wearable device that can record movement consumption of calorie can only often count the heat that motion process consumes in total
Amount, and ratio shared by each component in the heat of consumption cannot be counted, it is unfavorable for user and is best understood from movement effects.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of exercise heat source analysis method and device, it is existing to improve
Device cannot count ratio shared by each component in the heat of consumption, be unfavorable for user and be best understood from movement effects
Problem.
To achieve the above object, the embodiment of the invention provides a kind of exercise heat source analysis method, the method packets
It includes: obtaining the eartbeat interval of user, and according to the eartbeat interval of the user, obtain the real-time heart rate of the user；According to described
The real-time heart rate of user, average heart rate and maximum heart rate between obtaining the user during exercise in section；Obtain the user's
The power spectrum of eartbeat interval, and obtain according to the power spectrum autonomic nerve balance of the user；Obtain the user's
Body index parameter, according to the body index parameter and autonomic nerve balance acquisition basal metabolic rate, and according to
What is consumed in the basal metabolic rate, the average heart rate, maximum heart rate and body index gain of parameter run duration section is total
Heat；It is obtained in the run duration section according to the real-time heart rate and pre-stored multiple energetic supersession models, fat
The perrcentage depletion of acid, glycogen, protein and phosphocreatine, by the perrcentage depletion total amount of heat with the consumption respectively
It is multiplied to obtain the consumption of calorie of the fatty acid, glycogen, protein and phosphocreatine.
The embodiment of the invention also provides a kind of exercise heat source analysis device, described device includes: that the first heart rate obtains
Modulus block obtains the real-time heart rate of the user for obtaining the eartbeat interval of user, and according to the eartbeat interval of the user；
Second heart rate obtains module, the average heart for the real-time heart rate according to the user, between obtaining the user during exercise in section
Rate and maximum heart rate；Autonomic nerve balance obtains module, the power of the data of the eartbeat interval for obtaining the user
It composes, and obtains the autonomic nerve balance of the user according to the power spectrum；First heat obtains module, described for obtaining
The body index parameter of user obtains basal metabolic rate, and root according to the body index parameter and autonomic nerve balance
According to what is consumed in the basal metabolic rate, the average heart rate, maximum heart rate and body index gain of parameter run duration section
Total amount of heat；Second heat obtains module, for being obtained according to the real-time heart rate and pre-stored multiple energetic supersession models
It obtains in the run duration section, the perrcentage depletion of fatty acid, glycogen, protein and phosphocreatine, by the consumption percentage
Than being multiplied to obtain the chargeable heat of the fatty acid, glycogen, protein and phosphocreatine respectively with the total amount of heat of the consumption
Amount.
Exercise heat source analysis method and device provided in an embodiment of the present invention has the beneficial effect that
The eartbeat interval of exercise heat source analysis method and device acquisition user provided in an embodiment of the present invention, and according to
The eartbeat interval of user obtains the real-time heart rate of user.It is flat in section between obtaining user during exercise according to the real-time heart rate of user
Equal heart rate and maximum heart rate.The power spectrum of the eartbeat interval of user is obtained, and obtains the self-discipline mind of user according to the power spectrum
Through balance.It obtains the body index parameter of user and basic generation is obtained according to body index parameter and autonomic nerve balance
Thank to rate；And according to consuming in basal metabolic rate, average heart rate, maximum heart rate and body index gain of parameter run duration section
Total amount of heat.It is obtained in run duration section according to real-time heart rate and pre-stored energetic supersession model, fatty acid, glycogen, egg
The perrcentage depletion of white matter and phosphocreatine, and by the total amount of heat of above-mentioned percentage and consumption be multiplied to obtain fatty acid,
Heat consumed by glycogen, protein and phosphocreatine.The embodiment of the present invention improves existing compared with existing device
Device cannot count ratio shared by each component in the heat of consumption, be unfavorable for user and be best understood from asking for movement effects
Topic.
Detailed description of the invention
Illustrate the embodiment of the present invention or technical solution in the prior art in order to clearer, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 shows a kind of application environment schematic diagram of exercise heat source analysis device provided in an embodiment of the present invention；
Fig. 2 shows the block diagrams of data analysing terminal provided in an embodiment of the present invention；
Fig. 3 shows the flow chart of exercise heat source analysis method provided in an embodiment of the present invention；
Fig. 4 is the flow chart of the specific steps of the step S3 shown in Fig. 3；
Fig. 5 is the flow chart of the specific steps of the step S4 shown in Fig. 3；
Fig. 6 is the flow chart of the specific steps of the step S5 shown in Fig. 3；
Fig. 7 shows the structural block diagram of exercise heat source analysis device provided in an embodiment of the present invention；
Fig. 8 shows the structural block diagram that the first heart rate provided in an embodiment of the present invention obtains module；
Fig. 9 shows the structural block diagram that autonomic nerve balance provided in an embodiment of the present invention obtains module；
Figure 10 shows the structural block diagram that the first heat provided in an embodiment of the present invention obtains module；
Figure 11 shows the structural block diagram that the second heat provided in an embodiment of the present invention obtains module.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is right below
The detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit the range of claimed invention, but
It is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not making creativeness
Every other embodiment obtained, shall fall within the protection scope of the present invention under the premise of labour.
As shown in Figure 1, for a kind of application environment signal of exercise heat source analysis device provided in an embodiment of the present invention
Figure, including data collection station 101 and data analysing terminal 102, data collection station 101 are acquisition exercise heat source analysis
Required data specifically can be the data such as eartbeat interval, body index parameter.Data analysing terminal 102 is with data
The terminal of analysis ability can be computer, smart phone or other collection being made of the chip with data analysis capabilities
At circuit device.
As shown in Fig. 2, being the block diagram of the data analysing terminal 102.The data analysing terminal 102 includes:
Exercise heat source analysis device, memory 202, storage control 203, processor 204, Peripheral Interface 201, input and output list
Member 206 and display unit 205.
The memory 202, storage control 203, processor 204, Peripheral Interface 201, input-output unit 206 and aobvious
Show that each element of unit 205 is directly or indirectly electrically connected between each other, to realize the transmission or interaction of data.For example, these
Element can be realized by one or more communication bus or signal wire be electrically connected between each other.The exercise heat source analysis
Device includes that at least one can be stored in the memory 202 or be solidificated in institute in the form of software or firmware (firmware)
State the software function module in the operating system (operating system, OS) of data analysing terminal 102.The processor
204 for executing the executable module stored in memory 202, such as the software function module that the object detecting device includes
Or computer program.
Wherein, memory 202 may be, but not limited to, random access memory (Random Access Memory,
RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only
Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM),
Electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..
Wherein, memory 202 is for storing program, and the processor 204 executes described program after receiving and executing instruction, aforementioned
Method performed by the server that the stream process that any embodiment of the embodiment of the present invention discloses defines can be applied to processor 204
In, or realized by processor 204.
Processor 204 may be a kind of IC chip, the processing capacity with signal.Above-mentioned processor 204 can
To be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit
(Network Processor, abbreviation NP) etc.；Can also be digital signal processor (DSP), specific integrated circuit (ASIC),
Ready-made programmable gate array (FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hard
Part component.It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present invention.General processor
204 can be microprocessor or the processor 204 is also possible to any conventional processor etc..
Various input/output devices are couple processor 204 and memory 202 by the Peripheral Interface 201.Some
In embodiment, Peripheral Interface 201, processor 204 and storage control 203 can be realized in one single chip.Other one
In a little examples, they can be realized by independent chip respectively.
Display unit 205 provided between the data analysing terminal 102 and user an interactive interface (such as user behaviour
Make interface) or for display image data give user reference.In the present embodiment, the display unit 205 can be liquid crystal
Show device or touch control display.If touch control display, can for support single-point and multi-point touch operation capacitance type touch control screen or
Resistance type touch control screen etc..Single-point and multi-point touch operation is supported to refer to that touch control display can sense on the touch control display
The touch control operation that one or more positions generate simultaneously, and the touch control operation that this is sensed transfers to processor 204 to count
It calculates and handles.
Details refer to Fig. 3, and Fig. 3 is first embodiment of the invention offer applied to data analysing terminal shown in Fig. 2
A kind of exercise heat source analysis method flow chart, which comprises
Step S1 obtains the eartbeat interval of user, and according to the eartbeat interval of the user, obtains the real-time heart of the user
Rate.
The electric signal of heart can be acquired by certain frequency, and obtain two adjacent R wave wave crests；Then it obtains
The time interval of two adjacent R wave wave crests, which is eartbeat interval.The frequency of acquisition can be per minute 100
It is secondary, it specifically can be by the way that two electrodes be arranged to acquire cardiac electric signals in front.
Eartbeat interval is the interval time of adjacent heartbeat twice, and unit is millisecond (ms), and use 6000, can divided by eartbeat interval
To obtain real-time heart rate.
Step S2, according to the real-time heart rate of the user, average heart rate between obtaining the user during exercise in section and
Maximum heart rate.
Statistics available user the maximum heart rate in interior real-time heart rate and is calculated flat in run duration during exercise
Equal heart rate.
Step S3 obtains the power spectrum of the eartbeat interval of the user, and obtains the user's according to the power spectrum
Autonomic nerve balance.
The power spectrum of the eartbeat interval of user can be obtained by Fast Fourier Transform (FFT).Obtain power spectrum corresponding first
The first power in frequency range and the second power within the scope of second frequency, and pass through the ratio of the second power and the first power
Value obtains the autonomic nerve balance of user.
Specifically, first frequency range is 0.04Hz to 0.15Hz, i.e. acquisition 0.04Hz to the first function between 0.15Hz
Rate, second frequency range are 0.15Hz to 0.4Hz, i.e. acquisition 0.15Hz to the second power between 0.4Hz.
Step S4 obtains the body index parameter of the user, according to the body index parameter and self-discipline mind
Basal metabolic rate is obtained through balance, and according to the basal metabolic rate, the average heart rate, maximum heart rate and body index
The total amount of heat consumed in gain of parameter run duration section.
The body index parameter of user's input is received, body index parameter may include the gender, height, weight, year
Age and resting heart rate.If gender is male, according to formula BRM=13.75 × W+5 × S-6.76 × A+66+5 × RHR+3.5
× AN obtains basal metabolic rate BRM；If the gender is female, according to formula BRM=9.56 × W+1.85 × S-4.68 × A+
665+3.5 × RHR+6 × AN obtains basal metabolic rate BRM.Wherein, W indicates weight, and S indicates height, and A indicates age, RHR table
Show that resting heart rate, AN indicate autonomic nerve balance.
Specifically maximal oxygen uptake can be obtained according to maximum heart rate, resting heart rate and weight, it specifically can be according to formula
VO2MAX=15 × HRMAX/RHR × W/1000 obtains maximal oxygen uptake VO2MAX.Wherein, HRMAX indicates maximum heart rate, RHR
Indicate that resting heart rate, W indicate weight.
Specifically, maximum heart rate HRMAX can also be calculated according to following formula, when gender is male, HRMAX=[210-
(0.5×A)-(0.1×W)]+4；When gender is female, HRMAX=210- (0.5 × A)-(0.1 × W), wherein A is age, W
For weight.
When according to gender, average heart rate, maximal oxygen uptake, weight, age and the corresponding motion continuation of run duration section
Between obtain primary election total amount of heat, if the gender be male, according to formula Q1=[- 95.7735+ (0.634 × HRmean)+
(0.404 × VO2MAX)+0.394 × W+0.271 × A]/4.184 × 60 × T acquisition primary election total amount of heat Q1.If the gender is
Female, then according to formula Q1=[- 59.3954+ (0.45 × HRmean)+(0.380 × VO2MAX)+0.103 × W+0.274 × A]/
4.184 × 60 × T obtains primary election total amount of heat Q1.Wherein, HRmean indicates that average heart rate, VO2MAX indicate maximal oxygen uptake, W table
Show weight, A indicates the age, and T indicates exercise duration.
Resting metabolic rate is obtained according to basal metabolic rate and the exercise duration, with specific reference to RMRCB=[(BMR
× 1.1)/24] × T obtains resting metabolic rate RMRCB.Wherein, BMR is basic metabolic rate, and T is exercise duration.
If the primary election total amount of heat is less than the resting metabolic rate, using the resting metabolic rate as in run duration section
The total amount of heat of consumption；If the primary election total amount of heat be greater than or equal to the resting metabolic rate, using the primary election total amount of heat as
The total amount of heat consumed in run duration section.
Compare the size relation between primary election total amount of heat Q1 and resting metabolic rate RMRCB so that it is determined that disappearing in run duration section
The total amount of heat of consumption.
Step S5 obtains the run duration according to the real-time heart rate and pre-stored multiple energetic supersession models
In section, the perrcentage depletion of fatty acid, glycogen, protein and phosphocreatine disappears the perrcentage depletion with described respectively
The total amount of heat of consumption is multiplied to obtain the consumption of calorie of the fatty acid, glycogen, protein and phosphocreatine.
According to the corresponding exercise intensity heart rate percentage of the real-time heart rate, the user in the run duration section is obtained
One or more energetic supersession model experienced, and it is respectively at the duration of one or more of energetic supersession models.
According to the user one or more energetic supersession models experienced, and it is respectively at one or more of
The duration of energetic supersession model is obtained respectively in each energetic supersession model, fatty acid, glycogen, protein and phosphoric acid flesh
The perrcentage depletion of acid.
According to the duration of each energetic supersession model and the corresponding exercise duration of run duration section, by each energy
The perrcentage depletion of fatty acid in metabolic model adds up, and obtains in the run duration section, the consumption percentage of fatty acid
Than；Wherein, in the run duration section, the perrcentage depletion of fatty acid is combustion rouge rate.
According to the duration of each energetic supersession model and the corresponding exercise duration of run duration section, by each energy
The perrcentage depletion of glycogen in metabolic model adds up, and obtains in the run duration section, the perrcentage depletion of glycogen.
According to the duration of each energetic supersession model and the corresponding exercise duration of run duration section, by each energy
The perrcentage depletion of protein in metabolic model adds up, and obtains in the run duration section, the consumption percentage of protein
Than.
According to the duration of each energetic supersession model and the corresponding exercise duration of run duration section, by each energy
The perrcentage depletion of phosphocreatine in metabolic model adds up, and obtains in the run duration section, the consumption of phosphocreatine
Percentage.
Multiple energetic supersession models may include: basic metabolism model, warm-up model, aerobic exercise model, lactic acid
Threshold motion model, anaerobic endurance motion model and maximum oxygen consumption motion model.
The percentage range of the corresponding exercise intensity heart rate of the basic metabolism model is 0% to 30%, on the basis
In the corresponding energy consumption ratio of metabolic model, fatty acid accounts for 100%.
The percentage range of the corresponding exercise intensity heart rate of the warm-up model is 30% to 59%, described warm-up
In the corresponding energy consumption ratio of motion model, fatty acid accounts for 80%, and glycogen oxidation accounts for 20%.
The percentage range of the corresponding exercise intensity heart rate of the aerobic exercise model is 59% to 84%, described aerobic
In the corresponding energy consumption ratio of motion model,
When being 0 second to 6 seconds between when in motion, phosphocreatine accounts for 100%；
When being 6 seconds to 30 seconds between when in motion, phosphocreatine accounts for 20%, and glycolysis accounts for 80%；
When being 30 seconds to 2 minutes between when in motion, glycolysis accounts for 100%；
When being 2 minutes to 3 minutes between when in motion, glycolysis accounts for 50%, and glycogen oxidation accounts for 50%；
When being 3 minutes to 20 minutes between when in motion, glycogen oxidation accounts for 95%, and fatty acid accounts for 5%；
When being 20 minutes to 30 minutes between when in motion, glycogen oxidation accounts for 50%, and fatty acid accounts for 50%；
When being 30 minutes to 60 minutes between when in motion, fatty acid accounts for 70%, and glycogen oxidation accounts for 25%, and protein accounts for 5%；
When being 60 minutes to 120 minutes between when in motion, fatty acid accounts for 80%, and glycogen oxidation accounts for 10%, and protein accounts for
10%；
When being 120 minutes or more between when in motion, fatty acid accounts for 82%, and protein accounts for 18%.
Aerobic exercise model includes aerobic exercise model and aerobic dynamic movement model, wherein aerobic exercise
The percentage range of the corresponding exercise intensity heart rate of model is 59% to 74%, the corresponding exercise intensity of aerobic dynamic movement model
The percentage range of heart rate is 74% to 84%.
The percentage range of the corresponding exercise intensity heart rate of the lactic acid threshold value motion model is 84% to 88%, in lactic acid
In the corresponding energy consumption ratio of threshold motion model,
When being 0 second to 6 seconds between when in motion, phosphocreatine accounts for 100%；
When being 6 seconds to 30 seconds between when in motion, phosphocreatine accounts for 20%, and glycolysis accounts for 80%；
When being 30 seconds to 2 minutes between when in motion, glycolysis accounts for 100%；
When being 2 minutes or more between when in motion, glycolysis accounts for 95%, and fatty acid accounts for 5%.
The percentage range of the corresponding exercise intensity heart rate of the anaerobic endurance motion model is 88% to 95%, in anaerobic
In the corresponding energy consumption ratio of endurance exercise model,
When being 0 second to 6 seconds between when in motion, phosphocreatine accounts for 100%；
When being 6 seconds to 30 seconds between when in motion, phosphocreatine accounts for 20%, and glycolysis accounts for 80%；
When being 30 seconds or more between when in motion, glycolysis accounts for 100%.
The percentage range of the corresponding exercise intensity heart rate of the maximum oxygen consumption motion model is 95% to 100%, most
Greatly in the corresponding energy consumption ratio of oxygen consumption motion model,
When being 0 second to 6 seconds between when in motion, phosphocreatine accounts for 100%；
When being 6 seconds or more between when in motion, phosphocreatine accounts for 20%, and glycolysis accounts for 80%；
Wherein, the range of exercise intensity heart rate is the resting heart rate to the maximum heart rate.
Below by taking a specific example as an example, according to the corresponding exercise intensity heart rate percentage of real-time heart rate, it can obtain
User has 30 minutes in basic metabolism model, is in warm-up model within 30 minutes in 100 minutes run duration sections,
It is within 20 minutes aerobic exercise model, is within 10 minutes lactic acid threshold value motion model, is in anaerobic endurance motion model within 0 minute,
10 minutes in maximum oxygen consumption motion model.
It is available in each model according to above-mentioned multiple motion models, fatty acid, glycogen, protein and phosphorus
The Expenditure Levels of creatine acid.
In basic metabolism model, fatty acid perrcentage depletion is 30/100 × 100%, glycogen, protein and phosphoric acid
Creatine does not consume.
In warm-up model, fatty acid perrcentage depletion is 30/100 × 80%, and glycogen use percentage is 30/
100 × 20%, protein and phosphocreatine do not consume.
In aerobic exercise model, fatty acid perrcentage depletion is 17/100 × 5%；Glycogen use percentage is 0.4/
100 × 80%+1.5/100 × 100%+1/100 × 100%+17/100 × 95%；Phosphocreatine perrcentage depletion is 0.1/
100 × 100%+0.4/100 × 20%；Protein does not consume.
In lactic acid threshold value motion model, glycogen use percentage is 0.4/100 × 80%+1.5/100 × 100%+8/
100 × 95%；Phosphocreatine perrcentage depletion is 0.1/100 × 100%+0.4/100 × 20%；Fatty acid perrcentage depletion is
8/100 × 5%；Protein does not consume.
In maximum oxygen consumption motion model, glycogen use percentage is 9.9/100 × 80%；Phosphocreatine perrcentage depletion
For 0.1/100 × 100%+9.9/100 × 20%, protein and fatty acid are not consumed.
In 100 minutes run duration sections, the perrcentage depletion of fatty acid are as follows: (30/100 × 100%)+(30/100
× 80%)+(17/100 × 5%)+(8/100 × 5%)+0%.
The perrcentage depletion of glycogen are as follows: 0%+ (30/100 × 20%)+(0.4/100 × 80%+1.5/100 × 100%+
1/100 × 100%+17/100 × 95%)+(0.4/100 × 80%+1.5/100 × 100%+8/100 × 95%)+(9.9/
100 × 80%)；
The perrcentage depletion of protein are as follows: 0%.
The perrcentage depletion of phosphocreatine are as follows: 0%+0%+ (0.1/100 × 100%+0.4/100 × 20%)+(0.1/
100 × 100%+0.4/100 × 20%)+(0.1/100 × 100%+9.9/100 × 20%).
With in 100 minutes run duration sections, fatty acid, glycogen, protein and phosphocreatine respective percentage with
Total amount of heat is multiplied, it can obtains in 100 minutes, the quantity that above-mentioned four kinds of substances consume respectively.
Details refer to Fig. 4, and Fig. 4 is the specific steps of the step S3 shown in Fig. 3, comprising:
Step S31 obtains the power spectrum of the eartbeat interval of the user by Fast Fourier Transform (FFT).
The power spectrum of the eartbeat interval of user can be obtained by Fast Fourier Transform (FFT).
Step S32 obtains the first power within the scope of the corresponding first frequency of the power spectrum.
First frequency range is 0.04Hz to 0.15Hz, i.e. acquisition 0.04Hz to the first power between 0.15Hz.
Step S33 obtains the second power within the scope of the corresponding second frequency of the power spectrum.
Second frequency range is 0.15Hz to 0.4Hz, i.e. acquisition 0.15Hz to the second power between 0.4Hz.
Step S34 obtains the autonomic nerve balance of the user by the ratio of second power and the first power.
Second power can be obtained the autonomic nerve balance of user divided by the first power.
Details refer to Fig. 5, and Fig. 5 is the specific steps of the step S4 shown in Fig. 3, comprising:
Step S41, receive user input body index parameter, the body index parameter include the gender, height,
Weight, age and resting heart rate.
User can be inputted personal body index parameter by input terminal, and body index parameter is in addition to inclusive
It not, can also include other index parameters outside height, weight, age and resting heart rate.
Step S42, if the gender is male, according to formula BRM=13.75 × W+5 × S-6.76 × A+66+5 × RHR
+ 3.5 × AN obtains basal metabolic rate BRM.
Step S43, if the gender is female, according to formula BRM=9.56 × W+1.85 × S-4.68 × A+665+3.5
× RHR+6 × AN obtains basal metabolic rate BRM.
According to the different application of gender, different formula is calculated.
Wherein, W indicates weight, and S indicates height, and A indicates the age, and RHR indicates that resting heart rate, AN indicate autonomic nerve balance
Property.
Step S44 obtains maximal oxygen uptake according to the maximum heart rate, resting heart rate and weight.
Specifically maximal oxygen uptake VO2MAX can be obtained according to formula VO2MAX=15 × HRMAX/RHR × W/1000.Its
In, HRMAX indicates that maximum heart rate, RHR indicate that resting heart rate, W indicate weight.
Step S45, it is corresponding according to the gender, average heart rate, maximal oxygen uptake, weight, age and run duration section
Exercise duration obtain primary election total amount of heat.
If the gender be male, according to formula Q1=[- 95.7735+ (0.634 × HRmean)+(0.404 ×
VO2MAX)+0.394 × W+0.271 × A]/4.184 × 60 × T acquisition primary election total amount of heat Q1.If the gender is female, basis
Formula Q1=[- 59.3954+ (0.45 × HRmean)+(0.380 × VO2MAX)+0.103 × W+0.274 × A]/4.184 × 60
× T obtains primary election total amount of heat Q1.Wherein, HRmean indicates that average heart rate, VO2MAX indicate maximal oxygen uptake, and W indicates weight, A
Indicate the age, T indicates exercise duration.
Step S46 obtains resting metabolic rate according to basal metabolic rate and the exercise duration.
Resting metabolic rate is obtained according to basal metabolic rate and the exercise duration, with specific reference to RMRCB=[(BMR
× 1.1)/24] × T obtains resting metabolic rate RMRCB.Wherein, BMR is basic metabolic rate, and T is exercise duration.
Step S47, if the primary election total amount of heat is less than the resting metabolic rate, using the resting metabolic rate as movement
The total amount of heat consumed in period.
Step S48 makees the primary election total amount of heat if the primary election total amount of heat is greater than or equal to the resting metabolic rate
For the total amount of heat consumed in run duration section.
Compare the size relation between primary election total amount of heat Q1 and resting metabolic rate RMRCB so that it is determined that disappearing in run duration section
The total amount of heat of consumption.
Details refer to Fig. 6, and Fig. 6 is the specific steps of the step S5 shown in Fig. 3, comprising:
Step S51 is obtained according to the corresponding exercise intensity heart rate percentage of the real-time heart rate in the run duration section
It is interior, user's one or more energetic supersession models experienced, and it is respectively at one or more of energetic supersession models
Duration.
For example, user can be obtained at 100 minutes according to the corresponding exercise intensity heart rate percentage of real-time heart rate
In run duration section, there are 30 minutes in basic metabolism model, be within 30 minutes warm-up model, be in aerobic fortune within 20 minutes
Movable model is in lactic acid threshold value motion model for 10 minutes, is within 0 minute anaerobic endurance motion model, 10 minutes in maximum consumption
Oxygen motion model.
Step S52 according to the user one or more energetic supersession models experienced, and is respectively at described one
The duration of a or multiple energetic supersession models is obtained respectively in each energetic supersession model, fatty acid, glycogen, protein with
And the perrcentage depletion of phosphocreatine.
It is available in each model according to above-mentioned multiple motion models, fatty acid, glycogen, protein and phosphorus
The Expenditure Levels of creatine acid.
In basic metabolism model, fatty acid perrcentage depletion is 30/100 × 100%, glycogen, protein and phosphoric acid
Creatine does not consume.
In warm-up model, fatty acid perrcentage depletion is 30/100 × 80%, and glycogen use percentage is 30/
100 × 20%, protein and phosphocreatine do not consume.
In aerobic exercise model, fatty acid perrcentage depletion is 17/100 × 5%；Glycogen use percentage is 0.4/
100 × 80%+1.5/100 × 100%+1/100 × 100%+17/100 × 95%；Phosphocreatine perrcentage depletion is 0.1/
100 × 100%+0.4/100 × 20%；Protein does not consume.
In lactic acid threshold value motion model, glycogen use percentage is 0.4/100 × 80%+1.5/100 × 100%+8/
100 × 95%；Phosphocreatine perrcentage depletion is 0.1/100 × 100%+0.4/100 × 20%；Fatty acid perrcentage depletion is
8/100 × 5%；Protein does not consume.
In maximum oxygen consumption motion model, glycogen use percentage is 9.9/100 × 80%；Phosphocreatine perrcentage depletion
For 0.1/100 × 100%+9.9/100 × 20%, protein and fatty acid are not consumed.
Step S53 will according to the duration of each energetic supersession model and the corresponding exercise duration of run duration section
The perrcentage depletion of fatty acid in each energetic supersession model adds up, and obtains in the run duration section, fatty acid
Perrcentage depletion.
In 100 minutes run duration sections, the perrcentage depletion of fatty acid are as follows: (30/100 × 100%)+(30/100
× 80%)+(17/100 × 5%)+(8/100 × 5%)+0%.
Step S54 will according to the duration of each energetic supersession model and the corresponding exercise duration of run duration section
The perrcentage depletion of glycogen in each energetic supersession model adds up, and obtains in the run duration section, the consumption of glycogen
Percentage.
The perrcentage depletion of glycogen are as follows: 0%+ (30/100 × 20%)+(0.4/100 × 80%+1.5/100 × 100%+
1/100 × 100%+17/100 × 95%)+(0.4/100 × 80%+1.5/100 × 100%+8/100 × 95%)+(9.9/
100 × 80%).
Step S55 will according to the duration of each energetic supersession model and the corresponding exercise duration of run duration section
The perrcentage depletion of protein in each energetic supersession model adds up, and obtains in the run duration section, protein
Perrcentage depletion.
The perrcentage depletion of protein are as follows: 0%.
Step S56 will according to the duration of each energetic supersession model and the corresponding exercise duration of run duration section
The perrcentage depletion of phosphocreatine in each energetic supersession model adds up, and obtains in the run duration section, phosphoric acid flesh
The perrcentage depletion of acid.
The perrcentage depletion of phosphocreatine are as follows: 0%+0%+ (0.1/100 × 100%+0.4/100 × 20%)+(0.1/
100 × 100%+0.4/100 × 20%)+(0.1/100 × 100%+9.9/100 × 20%).
The perrcentage depletion is multiplied to obtain the fatty acid, sugar with the total amount of heat of the consumption by step S57 respectively
The consumption of calorie of former, protein and phosphocreatine.
By four kinds of substances that above-mentioned calculating obtains, respectively shared percentage is multiplied with the total amount of heat of consumption, can obtain
The heat that fatty acid, glycogen, protein and phosphocreatine respectively consume.
Details refer to Fig. 7, and Fig. 7 shows exercise heat source analysis device provided in an embodiment of the present invention, the dress
Setting 700 includes:
First heart rate obtains module 710, for obtaining the eartbeat interval of user, and according to the eartbeat interval of the user,
Obtain the real-time heart rate of the user；
Second heart rate obtains module 720, for the real-time heart rate according to the user, section between obtaining the user during exercise
Interior average heart rate and maximum heart rate；
Autonomic nerve balance acquisition module 730, the power spectrum of the data of the eartbeat interval for obtaining the user, and
The autonomic nerve balance of the user is obtained according to the power spectrum；
First heat obtains module 740, for obtaining the body index parameter of the user, is joined according to the body index
Several and autonomic nerve balance obtains basal metabolic rate, and according to the basal metabolic rate, the average heart rate, maximum heart rate
And the total amount of heat consumed in body index gain of parameter run duration section；
Second heat obtains module 750, for according to the real-time heart rate and pre-stored multiple energetic supersession moulds
Type obtains in the run duration section, the perrcentage depletion of fatty acid, glycogen, protein and phosphocreatine, by the consumption
Percentage is multiplied to obtain disappearing for the fatty acid, glycogen, protein and phosphocreatine respectively with the total amount of heat of the consumption
Heat consumption.
Details refer to Fig. 8, and Fig. 8 shows the structural block diagram that the first heart rate obtains module 710, and the first heart rate obtains module
710 include:
R wave wave crest obtains module 711, for acquiring cardiac electric signals by preset frequency, and obtains two adjacent R waves
Wave crest.
Eartbeat interval obtains module 712, described adjacent for obtaining the time interval of two adjacent R wave wave crests
Two R wave wave crests time interval be eartbeat interval.
Details refer to Fig. 9, and Fig. 9 shows the structural block diagram that autonomic nerve balance obtains module 730, and autonomic nerve is flat
Weighing apparatus property obtains module 730
Power spectrum acquiring module 731, the power of the eartbeat interval for obtaining the user by Fast Fourier Transform (FFT)
Spectrum.
First power acquisition module 732, for obtaining the first power within the scope of the corresponding first frequency of the power spectrum.
Second power acquisition module 733, for obtaining the second power within the scope of the corresponding second frequency of the power spectrum.
Ratio computing module 734, for by the ratio of second power and the first power obtain the user from
Restrain nerve balance.
0, Figure 10 shows the structural block diagram that the first heat obtains module 740 to details referring to Figure 1, and the first heat obtains mould
Block 740 includes:
Index parameter obtains module 741, for receiving the body index parameter of user's input, the body index parameter packet
Include the gender, height, weight, age and resting heart rate.
First metabolic rate obtain module 742, if for the gender be male, according to formula BRM=13.75 × W+5 ×
S-6.76 × A+66+5 × RHR+3.5 × AN obtains basal metabolic rate BRM.
Second metabolic rate obtains module 743, if being female for the gender, according to formula BRM=9.56 × W+1.85
× S-4.68 × A+665+3.5 × RHR+6 × AN obtains basal metabolic rate BRM.
Maximal oxygen uptake obtains module 744, for obtaining maximal oxygen according to the maximum heart rate, resting heart rate and weight
Oxygen amount.
Primary election total amount of heat obtains module 745, for according to the gender, average heart rate, maximal oxygen uptake, weight, age
And the corresponding exercise duration of run duration section obtains primary election total amount of heat.
Resting metabolic rate obtains module 746, for obtaining tranquillization according to basal metabolic rate and the exercise duration
Metabolic rate.
Total amount of heat obtains module 747, if being less than the resting metabolic rate for the primary election total amount of heat, by the tranquillization
Metabolic rate is as the total amount of heat consumed in run duration section；If the primary election total amount of heat is greater than or equal to the resting metabolic rate,
Then using the primary election total amount of heat as the total amount of heat consumed in run duration section.
1, Figure 11 shows the structural block diagram that the second heat obtains module 750 to details referring to Figure 1, and the second heat obtains mould
Block 750 includes:
It is metabolized duration statistical module 751, for obtaining according to the corresponding exercise intensity heart rate percentage of the real-time heart rate
In the run duration section, user's one or more energetic supersession models experienced, and be respectively at it is one or
The duration of multiple energetic supersession models.
First perrcentage depletion obtains module 752, for according to the user one or more energetic supersessions experienced
Model, and it is respectively at the duration of one or more of energetic supersession models, it is obtained respectively in each energetic supersession model
In, the perrcentage depletion of fatty acid, glycogen, protein and phosphocreatine.
Fatty acid wastage in bulk or weight percentage obtains module 753, for the duration and movement according to each energetic supersession model
The perrcentage depletion of fatty acid in each energetic supersession model is added up, is obtained by period corresponding exercise duration
It obtains in the run duration section, the perrcentage depletion of fatty acid.
Glycogen wastage in bulk or weight percentage obtains module 754, according to the duration and run duration section of each energetic supersession model
The perrcentage depletion of glycogen in each energetic supersession model is added up, obtains the fortune by corresponding exercise duration
In the dynamic period, the perrcentage depletion of glycogen.
Protein wastage in bulk or weight percentage obtains module 755, according to the duration and run duration of each energetic supersession model
The corresponding exercise duration of section, the perrcentage depletion of the protein in each energetic supersession model is added up, and obtains institute
It states in run duration section, the perrcentage depletion of protein.
Phosphocreatine wastage in bulk or weight percentage obtains module 756, when according to the duration and movement of each energetic supersession model
Between the corresponding exercise duration of section, the perrcentage depletion of the phosphocreatine in each energetic supersession model is added up, is obtained
It obtains in the run duration section, the perrcentage depletion of phosphocreatine.
Heat distributed acquisition module 757, is multiplied to for the total amount of heat by the perrcentage depletion respectively with the consumption
Obtain the consumption of calorie of the fatty acid, glycogen, protein and phosphocreatine.
Above-mentioned exercise heat source analysis device is corresponding with exercise heat source analysis method respectively, does not just do herein
It repeats.
For the embodiment of the present invention compared with existing device, improving existing device cannot count each in the heat of consumption
Ratio shared by a component, is unfavorable for the problem of user is best understood from movement effects.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and block diagram in attached drawing
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part of the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that function marked in the box can also be to be different from some implementations as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use the dedicated base for executing defined function or movement
It realizes, or can realize using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access
The various media that can store program code such as memory (RAM, Random Access Memory), magnetic or disk.It needs
It is noted that herein, relational terms such as first and second and the like are used merely to an entity or operation
It is distinguished with another entity or operation, without necessarily requiring or implying between these entities or operation, there are any this
Actual relationship or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, article or equipment for including a series of elements not only includes those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, article or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method, article or equipment of element.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should also be noted that similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and explained.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of exercise heat source analysis method, which is characterized in that the described method includes:
The eartbeat interval of user is obtained, and according to the eartbeat interval of the user, obtains the real-time heart rate of the user；
According to the real-time heart rate of the user, average heart rate and maximum heart rate between obtaining the user during exercise in section；
The power spectrum of the eartbeat interval of the user is obtained, and is balanced according to the autonomic nerve that the power spectrum obtains the user
Property；
The body index parameter for obtaining the user is obtained according to the body index parameter and the autonomic nerve balance
Basal metabolic rate, and moved according to the basal metabolic rate, the average heart rate, maximum heart rate and body index gain of parameter
The total amount of heat consumed in period；
It is obtained in the run duration section according to the real-time heart rate and pre-stored multiple energetic supersession models, fat
The perrcentage depletion of acid, glycogen, protein and phosphocreatine, by the perrcentage depletion total amount of heat with the consumption respectively
It is multiplied to obtain the consumption of calorie of the fatty acid, glycogen, protein and phosphocreatine.
2. the method according to claim 1, wherein the eartbeat interval for obtaining user, comprising:
Cardiac electric signals are acquired by preset frequency, and obtain two adjacent R wave wave crests；
The time interval of two adjacent R wave wave crests is obtained, the time interval of two adjacent R wave wave crests is heartbeat
Interval.
3. the method according to claim 1, wherein the power spectrum of the eartbeat interval for obtaining the user,
And the autonomic nerve balance of the user is obtained according to the power spectrum, comprising:
The power spectrum of the eartbeat interval of the user is obtained by Fast Fourier Transform (FFT)；
Obtain the first power within the scope of the corresponding first frequency of the power spectrum；
Obtain the second power within the scope of the corresponding second frequency of the power spectrum；
The autonomic nerve balance of the user is obtained by the ratio of second power and the first power.
4. the method according to claim 1, wherein the body index parameter for obtaining the user, according to
The body index parameter and autonomic nerve balance obtain basal metabolic rate, comprising:
The body index parameter of user's input is received, the body index parameter includes gender, height, weight, age and quiet
Cease heart rate；
If the gender is male, obtained according to formula BRM=13.75 × W+5 × S-6.76 × A+66+5 × RHR+3.5 × AN
Basal metabolic rate BRM,
If the gender is female, according to formula BRM=9.56 × W+1.85 × S-4.68 × A+665+3.5 × RHR+6 × AN
Basal metabolic rate BRM is obtained,
Wherein, W indicates weight, and S indicates height, and A indicates the age, and RHR indicates that resting heart rate, AN indicate autonomic nerve balance.
5. according to the method described in claim 4, it is characterized in that, it is described according to the basal metabolic rate, the average heart rate,
The total amount of heat consumed in maximum heart rate and body index gain of parameter run duration section, comprising:
Maximal oxygen uptake is obtained according to the maximum heart rate, resting heart rate and weight；
When according to the gender, average heart rate, maximal oxygen uptake, weight, age and the corresponding motion continuation of run duration section
Between obtain primary election total amount of heat；
Resting metabolic rate is obtained according to basal metabolic rate and the exercise duration, wherein the resting metabolic rate indicates
Tranquillization in the run duration section is metabolized heat；
If the primary election total amount of heat is less than the resting metabolic rate, using the resting metabolic rate as being consumed in run duration section
Total amount of heat；
If the primary election total amount of heat is greater than or equal to the resting metabolic rate, using the primary election total amount of heat as run duration section
The total amount of heat of interior consumption.
6. according to the method described in claim 5, it is characterized in that, described according to the maximum heart rate, resting heart rate and body
Recapture to obtain maximal oxygen uptake, comprising:
Maximal oxygen uptake VO2MAX is obtained according to formula VO2MAX=15 × HRMAX/RHR × W/1000, wherein HRMAX is indicated
Maximum heart rate, RHR indicate that resting heart rate, W indicate weight.
7. according to the method described in claim 6, it is characterized in that, described according to the gender, average heart rate, maximal oxygen oxygen
Amount, weight, age and the corresponding exercise duration of run duration section obtain primary election total amount of heat, comprising:
If the gender be male, according to formula Q1=[- 95.7735+ (0.634 × HRmean)+(0.404 × VO2MAX)+
0.394 × W+0.271 × A]/4.184 × 60 × T acquisition primary election total amount of heat Q1；
If the gender be female, according to formula Q1=[- 59.3954+ (0.45 × HRmean)+(0.380 × VO2MAX)+
0.103 × W+0.274 × A]/4.184 × 60 × T acquisition primary election total amount of heat Q1, wherein HRmean indicates average heart rate,
VO2MAX indicates maximal oxygen uptake, and W indicates weight, and A indicates the age, and T indicates exercise duration.
8. the method according to claim 1, wherein the multiple energetic supersession model respectively corresponds multiple movements
The percentage range of intensity heart rate percentage, it is described according to the real-time heart rate and pre-stored multiple energetic supersession models
It obtains in the run duration section, the perrcentage depletion of fatty acid, glycogen, protein and phosphocreatine, comprising:
According to the corresponding exercise intensity heart rate percentage of the real-time heart rate, obtain in the run duration section, user is passed through
The one or more energetic supersession models gone through, and it is respectively at the duration of one or more of energetic supersession models；
According to the user one or more energetic supersession models experienced, and it is respectively at one or more of energy
The duration of metabolic model is obtained respectively in each energetic supersession model, fatty acid, glycogen, protein and phosphocreatine
Perrcentage depletion；
According to the duration of each energetic supersession model and the corresponding exercise duration of run duration section, by each energetic supersession
The perrcentage depletion of fatty acid in model adds up, and obtains in the run duration section, the perrcentage depletion of fatty acid；Its
In, in the run duration section, the perrcentage depletion of fatty acid is combustion rouge rate；
According to the duration of each energetic supersession model and the corresponding exercise duration of run duration section, by each energetic supersession
The perrcentage depletion of glycogen in model adds up, and obtains in the run duration section, the perrcentage depletion of glycogen；
According to the duration of each energetic supersession model and the corresponding exercise duration of run duration section, by each energetic supersession
The perrcentage depletion of protein in model adds up, and obtains in the run duration section, the perrcentage depletion of protein；
According to the duration of each energetic supersession model and the corresponding exercise duration of run duration section, by each energetic supersession
The perrcentage depletion of phosphocreatine in model adds up, and obtains in the run duration section, the consumption percentage of phosphocreatine
Than.
9. according to the method described in claim 8, it is characterized in that, the multiple energetic supersession model includes: basic metabolism mould
Type, warm-up model, aerobic exercise model, lactic acid threshold value motion model, anaerobic endurance motion model and maximum oxygen consumption fortune
Movable model,
The percentage range of the corresponding exercise intensity heart rate of the basic metabolism model is 0% to 30%, in the basic metabolism
In the corresponding energy consumption ratio of model, fatty acid accounts for 100%；
The percentage range of the corresponding exercise intensity heart rate of the warm-up model is 30% to 59%, in the warm-up
In the corresponding energy consumption ratio of model, fatty acid accounts for 80%, and glycogen oxidation accounts for 20%；
The percentage range of the corresponding exercise intensity heart rate of the aerobic exercise model is 59% to 84%, in the aerobic exercise
In the corresponding energy consumption ratio of model,
When being 0 second to 6 seconds between when in motion, phosphocreatine accounts for 100%；
When being 6 seconds to 30 seconds between when in motion, phosphocreatine accounts for 20%, and glycolysis accounts for 80%；
When being 30 seconds to 2 minutes between when in motion, glycolysis accounts for 100%；
When being 2 minutes to 3 minutes between when in motion, glycolysis accounts for 50%, and glycogen oxidation accounts for 50%；
When being 3 minutes to 20 minutes between when in motion, glycogen oxidation accounts for 95%, and fatty acid accounts for 5%；
When being 20 minutes to 30 minutes between when in motion, glycogen oxidation accounts for 50%, and fatty acid accounts for 50%；
When being 30 minutes to 60 minutes between when in motion, fatty acid accounts for 70%, and glycogen oxidation accounts for 25%, and protein accounts for 5%；
When being 60 minutes to 120 minutes between when in motion, fatty acid accounts for 80%, and glycogen oxidation accounts for 10%, and protein accounts for 10%；
When being 120 minutes or more between when in motion, fatty acid accounts for 82%, and protein accounts for 18%；
The percentage range of the corresponding exercise intensity heart rate of the lactic acid threshold value motion model is 84% to 88%, in lactic acid threshold value
In the corresponding energy consumption ratio of motion model,
When being 0 second to 6 seconds between when in motion, phosphocreatine accounts for 100%；
When being 6 seconds to 30 seconds between when in motion, phosphocreatine accounts for 20%, and glycolysis accounts for 80%；
When being 30 seconds to 2 minutes between when in motion, glycolysis accounts for 100%；
When being 2 minutes or more between when in motion, glycolysis accounts for 95%, and fatty acid accounts for 5%；
The percentage range of the corresponding exercise intensity heart rate of the anaerobic endurance motion model is 88% to 95%, in anaerobic endurance
In the corresponding energy consumption ratio of motion model,
When being 0 second to 6 seconds between when in motion, phosphocreatine accounts for 100%；
When being 6 seconds to 30 seconds between when in motion, phosphocreatine accounts for 20%, and glycolysis accounts for 80%；
When being 30 seconds or more between when in motion, glycolysis accounts for 100%；
The percentage range of the corresponding exercise intensity heart rate of the maximum oxygen consumption motion model is 95% to 100%, is consumed in maximum
In the corresponding energy consumption ratio of oxygen motion model,
When being 0 second to 6 seconds between when in motion, phosphocreatine accounts for 100%；
When being 6 seconds or more between when in motion, phosphocreatine accounts for 20%, and glycolysis accounts for 80%；
Wherein, the range of exercise intensity heart rate is resting heart rate to the maximum heart rate.
10. a kind of exercise heat source analysis device, which is characterized in that described device includes:
First heart rate obtains module and obtains the use for obtaining the eartbeat interval of user, and according to the eartbeat interval of the user
The real-time heart rate at family；
Second heart rate obtains module, flat in section between obtaining the user during exercise for the real-time heart rate according to the user
Equal heart rate and maximum heart rate；
Autonomic nerve balance acquisition module, the power spectrum of the data of the eartbeat interval for obtaining the user, and according to institute
State the autonomic nerve balance that power spectrum obtains the user；
First heat obtains module, for obtaining the body index parameter of the user, according to the body index parameter and
Autonomic nerve balance obtains basal metabolic rate, and according to the basal metabolic rate, the average heart rate, maximum heart rate and body
Body index parameter obtains the total amount of heat consumed in run duration section；
Second heat obtains module, for obtaining institute according to the real-time heart rate and pre-stored multiple energetic supersession models
It states in run duration section, the perrcentage depletion of fatty acid, glycogen, protein and phosphocreatine, by the perrcentage depletion point
It is not multiplied to obtain the consumption of calorie of the fatty acid, glycogen, protein and phosphocreatine with the total amount of heat of the consumption.
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| FI128060B (en) * | 2017-10-04 | 2019-08-30 | Lappeenrannan Teknillinen Yliopisto | A method and an apparatus for producing information indicative of metabolic state |
| CN107961008B (en) * | 2017-12-20 | 2020-09-15 | 中国科学院合肥物质科学研究院 | Auxiliary device and method for rapidly acquiring resting metabolic rate |
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