CN107595273A - A kind of heart rate evaluation method and device - Google Patents
A kind of heart rate evaluation method and device Download PDFInfo
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- CN107595273A CN107595273A CN201710817626.5A CN201710817626A CN107595273A CN 107595273 A CN107595273 A CN 107595273A CN 201710817626 A CN201710817626 A CN 201710817626A CN 107595273 A CN107595273 A CN 107595273A
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- 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
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Abstract
The invention discloses a kind of heart rate evaluation method and device.The heart rate evaluation method includes：Heart rate and corresponding speed when filtering out sensor signal reliable in quality in historical movement data；According to the speed, the heart rate and personal parameter, force value model is run, calculates actual oxygen uptake；Establish the speed, the heart rate and the relational model of the actual oxygen uptake；According to real-time speed and the relational model, terminal heart rate stable under the real-time speed is calculated.The present invention passes through the relation founding mathematical models between historical movement data, speed, heart rate, personal parameter and actual oxygen uptake are associated, real-time speed can be substituted into mathematical modeling to the heart rate for estimating user, suitable for the insecure situation of heart rate sensor signal quality, or other situations of accurate heart rate can not be obtained by heart rate sensor.
Description
Technical field
The present invention relates to exercise data analysis field, more particularly to a kind of heart rate evaluation method and device.
Background technology
With the development and change of people's working method and life style, sitting is motionless, lack of exercise and high caloric diet
A series of increasingly increase of popular slow diseases such as caused hypertension, coronary heart disease, diabetes, obesity, and then there is crowd in the market
The wearable device of more monitor heart rates, heart rate is mainly measured by photoelectric sensor to weigh exercise intensity.But photoelectric transfer
During the signal of sensor is converted to heart rate data, data reliability depends primarily on the quality of signal, once signal quality
Poor, heart rate may malfunction, and reliability is still to be tested.The unique authentication standard of heart rate measurement is by the heart caused by heart rate pectoral girdle
Electric signal, but the sense of discomfort brought of pectoral girdle is insufficient for the demand of user.
Therefore, prior art provides the method that heart rate is estimated when photo-sensor signal is second-rate, uses at present
More heart rate mode of estimating is the signal using accelerometer.Acceleration, energy consumption, basal heart rate, maximum heart rate, which are established, to close
It is model, and then exercise heart rate is estimated according to real time acceleration data in motion.In actual sport training process, with motion
The increase of time, cardiorespiratory Endurance can gradually rise, it may appear that the saving phenomenon of heart ability, i.e., under same speed, and heart rate
Can gradually it reduce；And the acceleration formed under the same speed of running process will not change substantially, the motion heart estimated
Rate is also constant therewith, and actual conditions produce deviation, it is difficult to carries out Accurate Prediction after the lifting of sporter's cardiorespiratory Endurance.
The content of the invention
, can be by between historical movement data it is an object of the invention to propose a kind of heart rate evaluation method and device
Relation founding mathematical models, the heart rate of user can be estimated according to mathematical modeling in case of need.
To use following technical scheme up to this purpose, the present invention：
On the one hand, the present invention provides a kind of heart rate evaluation method, including：
Heart rate and corresponding speed when filtering out sensor signal reliable in quality in historical movement data；
According to the speed, the heart rate and personal parameter, force value model is run, calculates actual oxygen uptake；
Establish the speed, the heart rate and the relational model of the actual oxygen uptake；
According to real-time speed and the relational model, terminal heart rate stable under the real-time speed is calculated.
Wherein, according to the speed, the heart rate and personal parameter, race force value model, actual oxygen uptake is calculated, including：
Corresponding race force value model is chosen according to the heart rate, the speed is substituted into the race force value model and tries to achieve race
Force value；
According to the speed, the heart rate and personal parameter, oxygen uptake and maximal oxygen uptake are calculated；
According to the oxygen uptake, the maximal oxygen uptake and the race force value, actual oxygen uptake is calculated.
Wherein, according to the speed, the heart rate and personal parameter, oxygen uptake and maximal oxygen uptake are calculated, including：
The personal parameter includes height, sex, body weight, age；
Oxygen uptake, oxygen uptake=0.23* speed (m/min) -9.7985 are calculated according to force value model is run；
According to height, sex, body weight, speed, rate calculation maximal oxygen uptake.
Wherein, corresponding race force value model is chosen according to the heart rate, the speed is substituted into the race force value model
Race force value is tried to achieve, including：
Heart rate percentage is laid according to resting heart rate, maximum heart rate and the rate calculation；
The race force value model includes five models of E, M, T, I, R, corresponds to the threshold of different deposit heart rate percentage respectively
It is worth scope；
Threshold range according to belonging to the deposit heart rate percentage runs force value model corresponding to choosing；
The speed is substituted into the race force value model and tries to achieve race force value.
Wherein, heart rate percentage is laid according to resting heart rate, maximum heart rate and the rate calculation, including：
Heart rate and maximum deposit heart rate are laid according to resting heart rate, maximum heart rate and the rate calculation；
Lay in heart rate=heart rate-resting heart rate, maximum deposit heart rate=maximum heart rate-resting heart rate；
Calculate and obtain deposit heart rate percentage, deposit heart rate percentage=(deposit heart rate-resting heart rate)/maximum deposit heart
Rate.
Wherein, according to the oxygen uptake, the maximal oxygen uptake and the race force value, actual oxygen uptake is calculated, including：
According to oxygen uptake and force value is run, calculates exercise intensity percentage, exercise intensity percentage=oxygen uptake/race force value；
Actual oxygen uptake, actual oxygen uptake=maximal oxygen uptake * are calculated according to maximal oxygen uptake and exercise intensity percentage
Exercise intensity percentage；
Accordingly, the speed, the heart rate and the relational model of the actual oxygen uptake are established, is specially：
Establish speed, heart rate and exercise intensity percentage, run force value, the relational model of actual oxygen uptake.
Further, establish after the relational model of the speed, the heart rate and the actual oxygen uptake, in addition to：
Judge whether fatigue occur according to run duration, if so,
The real-time speed is substituted into the relational model and obtains real time kinematics intensity percent and race force value；
If the real time kinematics intensity percent is more than or equal to preset strength, and the duration exceedes preset duration, then
The speed got during by sensor signal reliable in quality substitutes into the relational model and obtains starting point exercise intensity hundred
Divide ratio, using the heart rate accordingly got as starting point heart rate；
The difference of the starting point exercise intensity percentage and the real time kinematics intensity percent is calculated, as intensity difference
Value；
According to starting point exercise intensity percentage, run force value and strength difference calculating heart rate rate of descent；
According to starting point heart rate and heart rate rate of descent, terminal heart rate stable under the real-time speed is calculated.
Accordingly, after calculating terminal heart rate stable under the real-time speed, in addition to：
The heart rate got during using sensor signal reliable in quality is as starting point heart rate；
According to starting point heart rate and terminal heart rate, select to be applicable in the linear relation model of default multiple times and heart rate
Linear relation model；
Real-time heart rate between starting point heart rate and terminal heart rate is obtained according to the linear relation model.
Further, according to real-time speed and the relational model, terminal heart rate stable under the real-time speed is calculated
Before, in addition to：
Judge whether the signal quality of sensor is reliable, if so, the exercise data obtained according to sensor calculates the real-time heart
Rate；
Otherwise, according to real-time speed and the relational model, terminal heart rate stable under the real-time speed is calculated.
On the other hand, the present invention provides a kind of heart rate estimation device, including：Heart rate sensor and nine axle sensors and processing
Unit；
The processing unit includes：
Data screening module, for filtered out in historical movement data heart rate sensor signal quality it is reliable when heart rate
The corresponding speed obtained with nine axle sensors；
Exercise intensity computing module, for according to the speed, the heart rate and personal parameter, race force value model, calculating
Actual oxygen uptake；
Modeling module, for establishing the speed, the heart rate and the relational model of the actual oxygen uptake；
Heart rate estimation block, for according to real-time speed and the relational model, calculating stabilization under the real-time speed
Terminal heart rate.
Wherein, the exercise intensity computing module is specifically used for：
Corresponding race force value model is chosen according to the heart rate, the speed is substituted into the race force value model and tries to achieve race
Force value；
According to the speed, the heart rate and personal parameter, oxygen uptake and maximal oxygen uptake are calculated；
According to oxygen uptake and force value is run, calculates exercise intensity percentage, exercise intensity percentage=oxygen uptake/race force value；
Actual oxygen uptake, actual oxygen uptake=maximal oxygen uptake * are calculated according to maximal oxygen uptake and exercise intensity percentage
Exercise intensity percentage；
Accordingly, the modeling module is specifically used for：
Establish speed, heart rate and exercise intensity percentage, run force value, the relational model of actual oxygen uptake.
Further, the heart rate estimation block is additionally operable to：Establish the speed, the heart rate and described actually take the photograph oxygen
After the relational model of amount, judge whether fatigue occur according to run duration, if so,
The real-time speed is substituted into the relational model and obtains real time kinematics intensity percent and race force value；
If the real time kinematics intensity percent is more than or equal to preset strength, and the duration exceedes preset duration, then
The speed got during by sensor signal reliable in quality substitutes into the relational model and obtains starting point exercise intensity hundred
Divide ratio；
The difference of the starting point exercise intensity percentage and the real time kinematics intensity percent is calculated, as intensity difference
Value；
According to starting point exercise intensity percentage, run force value and strength difference calculating heart rate rate of descent；
According to terminal heart rate, duration and the linear relationship of heart rate rate of descent settling time and heart rate；
According to the linear relationship, terminal heart rate stable under the real-time speed is calculated.
Further, the heart rate estimation block is additionally operable to：In the case where calculating the real-time speed stable terminal heart rate it
Afterwards,
The heart rate that heart rate sensor signal quality is got when reliable is as starting point heart rate；
According to starting point heart rate and terminal heart rate, select to be applicable in the linear relation model of default multiple times and heart rate
Linear relation model；
Real-time heart rate between starting point heart rate and terminal heart rate is obtained according to the linear relation model.
Wherein, the heart rate sensor and nine axle sensor are arranged in Intelligent worn device；
The processing unit is arranged in the Intelligent worn device, or is arranged on and Intelligent worn device binding
On intelligent terminal.
Beneficial effects of the present invention are：
By the relation founding mathematical models between historical movement data, oxygen is taken the photograph speed, heart rate, personal parameter and actually
Amount associates, and real-time speed can be substituted into mathematical modeling to the heart rate for estimating user, suitable for heart rate sensor signal matter
Insecure situation is measured, or other situations of accurate heart rate can not be obtained by heart rate sensor.
Brief description of the drawings
Fig. 1 is the flow chart for the heart rate evaluation method that the embodiment of the present invention one provides；
Fig. 2 is a kind of flow chart for improved heart rate evaluation method that the embodiment of the present invention two provides；
Fig. 3 is the flow chart for another improved heart rate evaluation method that the embodiment of the present invention three provides；
Fig. 4 is the structural representation for the heart rate estimation device that the embodiment of the present invention four provides.
Embodiment
For make present invention solves the technical problem that, the technical scheme that uses and the technique effect that reaches it is clearer, below
The technical scheme of the embodiment of the present invention will be described in further detail with reference to accompanying drawing, it is clear that described embodiment is only
It is part of the embodiment of the present invention, rather than whole embodiments.
Embodiment one
The present embodiment provides a kind of heart rate evaluation method, suitable for heart rate sensor signal quality it is insecure in the case of,
For carrying out the estimation of heart rate, this method is performed by a kind of Intelligent worn device, and the equipment is made up of software and hardware.
Fig. 1 is the flow chart for the heart rate evaluation method that the embodiment of the present invention one provides.As shown in figure 1, the heart rate estimation side
Method comprises the following steps：
S11, heart rate and corresponding speed when filtering out sensor signal reliable in quality in historical movement data.
Historical movement data are screened, the data such as speed obtained for nine axle sensors, it is desirable in some speed
Under, speed keeps stable (such as fluctuation is less than 1km/h) to exceed certain time (such as 3 minutes), and the signal of heart rate sensor
The heart rate obtained during reliable in quality.Corresponding velocity perturbation and retention time require, can according to the Stringency of data screening come
Adjustment.
According to the method described above, the time from the close-by examples to those far off chooses a number of basic data according to caused by data, and presses
Cycle is updated to basic data.
S12, according to the speed, the heart rate and personal parameter, force value model is run, calculates actual oxygen uptake.
The step includes：
S121, corresponding race force value model is chosen according to the heart rate, the speed is substituted into the race force value model
Try to achieve race force value.Specifically include：
Deposit heart rate percentage is calculated according to resting heart rate HRrest, maximum heart rate HRmax and the heart rate HR.Wherein,
Resting heart rate HRrest is that user is regaining consciousness, under inactive rest state, the number of heartbeat per minute, can pass through sensing heart rate
Device obtains；Maximum heart rate=208-0.7* ages.
First, deposit heart rate HRR and maximum storage are calculated according to resting heart rate HRrest, maximum heart rate HRmax and heart rate HR
Standby heart rate HRRmax.Lay in heart rate HRR=heart rate HR- resting heart rate HRrest, maximum deposit heart rate HRRmax=maximum heart rates
HRmax- resting heart rates HRrest.
Then, calculate and obtain deposit heart rate percentage HRR%, (deposit heart rate HRR- is quiet by deposit heart rate percentage HRR%=
Cease heart rate HRrest)/maximum deposit heart rate HRRmax.
Run force value (VDOT) etymology certainly《Denier doctor's running equation》(Daniels'Running Formula),
Author is U.S.'s sports science person Jack Denier (Jack Daniel), and sporter's aerobic capacity is weighed with this, is motion
The comprehensive eye exam data of economy, accordingly, also had according to type of sports and ride force value and swimming force value.
In the prior art, the race force value model includes five models of E, M, T, I, R, and representing E respectively, (that easily runs matches somebody with somebody
Speed), M (marathon race with speed), T (Lactate Threshold run with speed), (repetition running is matched somebody with somebody by I (high intensity interval running with speed), R
Speed).
In the present embodiment, this five race force value models are corresponded to the threshold range of different deposit heart rate percentage respectively；
When calculating race force value, force value model is run corresponding to the threshold range selection according to belonging to deposit heart rate percentage, by the speed
Substitute into the race force value model and try to achieve race force value.
For example, table 1 below is corresponding relation of the feasible threshold range of one of which with running force value model.In other embodiment
In, the division of threshold range can adjust.
Table 1
S122, according to the speed, the heart rate and personal parameter, calculate oxygen uptake and maximal oxygen uptake.
Oxygen uptake, oxygen uptake=0.23* speed (m/min) -9.7985 are calculated according to force value model is run.
It is also a variety of that the mode of oxygen uptake is calculated in the prior art, if above-mentioned basic data also includes keeping some speed
Time, then according to the prediction equation of laboratory measurement, oxygen uptake=6.70-2.28* sex+0.056* times (s), it is neutral
Not：Man=1, female=2.
Further, it is also possible to which oxygen uptake is set as into steady state value, normal adult is usually 45, and women and children take the circumstances into consideration to subtract
Few, outstanding sportsman typically can be in 60-70.
S123, according to height, sex, body weight, speed, rate calculation maximal oxygen uptake.
Wherein, the data such as the personal gain of parameter height of user, sex, body weight, age can be passed through；Assuming that maximal oxygen uptake
VO2max=X1+X2* sex+X3* body weight+X4* height+X5* speed+X6* hearts rate, wherein, sex：Man=1, female=2, X1 are
Constant, X2~X6 are weights.Analyzed based on big data, the maximal oxygen uptake obtained according to gaseous metabolism analytical instrument, with
Personal information, speed etc. are associated, and X1~X6 value is obtained using multivariate regression analysis.Preferably, X2-X6 in the present embodiment
Span is -3~10.
S124, according to the oxygen uptake, the maximal oxygen uptake and the race force value, calculate actual oxygen uptake.
According to oxygen uptake and force value is run, calculates exercise intensity percentage, exercise intensity percentage=oxygen uptake/race force value.
Actual oxygen uptake, actual oxygen uptake=maximal oxygen uptake * are calculated according to maximal oxygen uptake and exercise intensity percentage
Exercise intensity percentage.
S13, establish the speed, the heart rate and the relational model of the actual oxygen uptake.
It can be seen from step S12 calculating process, median, including exercise intensity hundred can be produced when calculating actual oxygen uptake
Divide ratio and run force value.
By step S12 calculating, the relational model of speed, heart rate and actual oxygen uptake can be obtained, and then can be obtained
The corresponding relation of actual oxygen uptake and heart rate under friction speed, and speed, heart rate and exercise intensity percentage can be established, run power
Value, the relational model of actual oxygen uptake.
S14, according to real-time speed and the relational model, calculate terminal heart rate stable under the real-time speed.
Velocity variations can bring changes in heart rate, and when maintaining a certain speed, heart rate can taper to be adapted with the speed.
When needing to estimate heart rate, it is known that the real-time speed at current time, you can substitute into relational model and calculate in the speed in real time
The terminal heart rate of stabilization under degree, after changes in heart rate.
Further, before step S14, in addition to：
Judge whether the signal quality of sensor is reliable, if so, the exercise data obtained according to sensor calculates the real-time heart
Rate；Otherwise, step S14 is performed.
Based on historical movement data, speed, heart rate, personal parameter and actual oxygen uptake are associated and establish mathematics
Model, real-time speed can be substituted into mathematical modeling to the heart rate for estimating user, taken into full account the aerobic sport ability of user
With influence of the cardiopulmonary capacity variation to heart rate, the heart rate for making to estimate is closer to actual conditions.
Embodiment two
The present embodiment is improved on the basis of above-described embodiment, after step S13, if there is sports fatigue, is pressed
Terminal heart rate is calculated according to following method.
Fig. 2 is a kind of flow chart for improved heart rate evaluation method that the embodiment of the present invention two provides.If as shown in Fig. 2
Judge tired (run duration reaches preset value) occur according to run duration, then after step s 13, also comprise the following steps：
S161, the real-time speed is substituted into the relational model and obtains real time kinematics intensity percent and race force value.
S162, determine that the real time kinematics intensity percent is more than or equal to preset strength, and the duration is more than default
Duration, then following step S163 is performed, otherwise according to the step S14 processing of above-described embodiment one.
S163, the speed got during by sensor signal reliable in quality substitutes into the relational model, and to obtain starting point motion strong
Percentage is spent, using the heart rate accordingly got as starting point heart rate.
Speed and heart rate during selected distance current time recent sensor signal reliable in quality are calculated.
S164, the difference of the starting point exercise intensity percentage and the real time kinematics intensity percent is calculated, as strong
Spend difference.
S165, according to starting point exercise intensity percentage, run force value and strength difference calculating heart rate rate of descent.
Heart rate rate of descent=Z1+Z2* starting point exercise intensity percentages+Z3* runs force value+Z4* strength differences；Wherein, Z1 is
Constant, Z2~Z4 are weight.As described above, being based on historical movement data, by exercise intensity percentage, force value and heart rate decline are run
Rate associates, using multivariate regression analysis method, solution Z1~Z4 value.In the present embodiment, Z2~Z5 span for -3~
2。
S166, according to starting point heart rate and heart rate rate of descent, calculate terminal heart rate stable under the real-time speed.
Terminal heart rate=starting point heart rate * (1- hearts rate rate of descent).
The above method is applied under fatigue state, when user keeps some speed to reach regular hour, i.e. exercise intensity
Threshold value is continued above, then heart ability savingization phenomenon occurs, heart rate now will not reduce at once, but according to certain
Rate of change is changed stepwise.
Embodiment three
The present embodiment is improved on the basis of above-described embodiment, bent for improving heart rate during user movement
Line.
Fig. 3 is the flow chart for another improved heart rate evaluation method that the embodiment of the present invention three provides.As shown in figure 3,
After terminal heart rate stable under calculating the real-time speed, also comprise the following steps：
S151, the heart rate got during using sensor signal reliable in quality are remembered as starting point heart rate, and by the corresponding time
For start time.
The heart rate got during selected distance current time recent sensor signal reliable in quality has been used as dessert
Rate.
S152, according to starting point heart rate and terminal heart rate, selected in the linear relation model of default multiple times and heart rate
Select applicable linear relation model.
When speed changes, heart rate, which can taper to, to be adapted and tends towards stability with the speed, the mistake of changes in heart rate
Journey has certain linear relationship with the time, and historical movement data are analyzed with the line that can obtain multiple default times and heart rate
Sexual intercourse model.Different starting point hearts rate and different terminal hearts rate, corresponding linear relation model are different from.
The maximum heart rate percentage HRmax% of zequin heart rate and terminal heart rate respectively, the maximum heart rate percentage=heart
Rate/maximum heart rate.According to the scope belonging to maximum heart rate percentage, a suitable linear relation model is selected.
In the present embodiment, table 2 below is the linear relation model and starting point of one of which possible default time and heart rate
The corresponding relation of heart rate, terminal heart rate：
| Linear relation model | The HRmax% of starting point heart rate | The HRmax% of terminal heart rate |
| Model one | 51%~60% | 71%~80% |
| Model two | 51%~60% | 81%~90% |
| Model three | 61%~70% | 81%~90% |
| Model four | 61%~70% | 91%~100% |
| …… | …… | …… |
Table 2
S153, the real-time heart rate between starting point heart rate and terminal heart rate is obtained according to the linear relation model.
In linear relation model starting point heart rate and the terminal heart are obtained since start time according to certain time interval
Real-time heart rate between rate, in the present embodiment, time interval takes 1 second, can be in other embodiments other values, mainly take
Certainly in the requirement of the smoothness to heart rate curve.
Above-mentioned steps are applied to heart rate and are incremented by, successively decrease or the situation of heart rate interval fluctuations, it is determined that starting point and end
After point, other data between 2 points can be obtained according to linear relationship, the present embodiment uses different for the variation tendency of speed
Scheme improve heart rate curve so that in addition to the terminal heart rate of estimation, the heart rate at other moment is also closer to actual conditions.
Example IV
The present embodiment provides a kind of heart rate estimation device, for performing the heart rate evaluation method described in above-described embodiment, solution
Certainly same technical problem, reach identical technique effect.
Fig. 4 is the structural representation for the heart rate estimation device that the embodiment of the present invention four provides.As shown in figure 4, the heart rate is estimated
Calculating device includes the axle sensor 32 of heart rate sensor 31 and nine and processing unit 33.
The heart rate sensor 31 and nine axle sensor 32 are arranged in Intelligent worn device；The processing unit 33
It is arranged in the Intelligent worn device, or is arranged on the intelligent terminal bound with the Intelligent worn device.
The processing unit 33 includes：
Data screening module 331, for filtered out in historical movement data the signal quality of heart rate sensor 31 it is reliable when
Heart rate and nine axle sensors 32 obtain corresponding speed.
Exercise intensity computing module 332, for according to the speed, the heart rate and personal parameter, race force value model, meter
Calculate actual oxygen uptake.
Modeling module 333, for establishing the speed, the heart rate and the relational model of the actual oxygen uptake.
Heart rate estimation block 334, for according to real-time speed and the relational model, calculating stable under the real-time speed
Terminal heart rate.
The exercise intensity computing module 332 is specifically used for：
Corresponding race force value model is chosen according to the heart rate, the speed is substituted into the race force value model and tries to achieve race
Force value.Specifically：
Heart rate percentage is laid according to resting heart rate, maximum heart rate and the rate calculation；Lay in heart rate=heart rate-tranquillization
Heart rate, maximum deposit heart rate=maximum heart rate-resting heart rate；Calculate and obtain deposit heart rate percentage, deposit heart rate percentage=
(deposit heart rate-resting heart rate)/maximum deposit heart rate.
The race force value model includes five models of E, M, T, I, R, corresponds to the threshold of different deposit heart rate percentage respectively
It is worth scope；Threshold range according to belonging to the deposit heart rate percentage runs force value model corresponding to choosing；By the speed generation
Enter in the race force value model and try to achieve race force value.
According to the speed, the heart rate and personal parameter, oxygen uptake and maximal oxygen uptake are calculated.Specifically：
Oxygen uptake, oxygen uptake=0.23* speed (m/min) -9.7985 are calculated according to force value model is run.The personal parameter
Including height, sex, body weight, age；Further according to height, sex, body weight, speed, rate calculation maximal oxygen uptake.
According to oxygen uptake and force value is run, calculates exercise intensity percentage, exercise intensity percentage=oxygen uptake/race force value.
Actual oxygen uptake, actual oxygen uptake=maximal oxygen uptake * are calculated according to maximal oxygen uptake and exercise intensity percentage
Exercise intensity percentage.
Accordingly, the modeling module 333 is specifically used for：
Establish speed, heart rate and exercise intensity percentage, run force value, the relational model of actual oxygen uptake.
Determine in the case of there is fatigue that the heart rate estimation block 334 is additionally operable to according to run duration：
The real-time speed is substituted into the relational model and obtains real time kinematics intensity percent and race force value；
If the real time kinematics intensity percent is more than or equal to preset strength, and the duration exceedes preset duration, then
The speed got during by sensor signal reliable in quality substitutes into the relational model and obtains starting point exercise intensity hundred
Divide ratio, using the heart rate accordingly got as starting point heart rate；
The difference of the starting point exercise intensity percentage and the real time kinematics intensity percent is calculated, as intensity difference
Value；
According to starting point exercise intensity percentage, run force value and strength difference calculating heart rate rate of descent；
According to starting point heart rate and heart rate rate of descent, terminal heart rate stable under the real-time speed is calculated.
The heart rate estimation block 334 is additionally operable to：After terminal heart rate stable under calculating the real-time speed,
The heart rate that the signal quality of heart rate sensor 31 is got when reliable is as starting point heart rate；
According to starting point heart rate and terminal heart rate, select to be applicable in the linear relation model of default multiple times and heart rate
Linear relation model；
Real-time heart rate between starting point heart rate and terminal heart rate is obtained according to the linear relation model.
Accordingly, before this, modeling module 333 is additionally operable to, and default multiple times are established according to historical movement data
With the linear relation model of heart rate.
The technical principle of the present invention is described above in association with specific embodiment.These descriptions are intended merely to explain the present invention's
Principle, and limiting the scope of the invention can not be construed in any way.Based on explanation herein, the technology of this area
Personnel would not require any inventive effort the other embodiments that can associate the present invention, and these modes are fallen within
Within protection scope of the present invention.
Claims (14)
- A kind of 1. heart rate evaluation method, it is characterised in that：Heart rate and corresponding speed when filtering out sensor signal reliable in quality in historical movement data；According to the speed, the heart rate and personal parameter, force value model is run, calculates actual oxygen uptake；Establish the speed, the heart rate and the relational model of the actual oxygen uptake；According to real-time speed and the relational model, terminal heart rate stable under the real-time speed is calculated.
- 2. heart rate evaluation method according to claim 1, it is characterised in that according to the speed, the heart rate and individual Parameter, force value model is run, calculate actual oxygen uptake, including：Corresponding race force value model is chosen according to the heart rate, the speed is substituted into the race force value model and tries to achieve race power Value；According to the speed, the heart rate and personal parameter, oxygen uptake and maximal oxygen uptake are calculated；According to the oxygen uptake, the maximal oxygen uptake and the race force value, actual oxygen uptake is calculated.
- 3. heart rate evaluation method according to claim 2, it is characterised in that according to the speed, the heart rate and individual Parameter, oxygen uptake and maximal oxygen uptake are calculated, including：The personal parameter includes height, sex, body weight, age；Oxygen uptake, oxygen uptake=0.23* speed (m/min) -9.7985 are calculated according to force value model is run；According to height, sex, body weight, speed, rate calculation maximal oxygen uptake.
- 4. the heart rate evaluation method according to Claims 2 or 3, it is characterised in that corresponding run is chosen according to the heart rate Force value model, the speed is substituted into the race force value model and tries to achieve race force value, including：Heart rate percentage is laid according to resting heart rate, maximum heart rate and the rate calculation；The race force value model includes five models of E, M, T, I, R, corresponds to the threshold value model of different deposit heart rate percentage respectively Enclose；Threshold range according to belonging to the deposit heart rate percentage runs force value model corresponding to choosing；The speed is substituted into the race force value model and tries to achieve race force value.
- 5. heart rate evaluation method according to claim 4, it is characterised in that according to resting heart rate, maximum heart rate and described Rate calculation lays in heart rate percentage, including：Heart rate and maximum deposit heart rate are laid according to resting heart rate, maximum heart rate and the rate calculation；Lay in heart rate=heart rate-resting heart rate, maximum deposit heart rate=maximum heart rate-resting heart rate；Calculate and obtain deposit heart rate percentage, deposit heart rate percentage=(deposit heart rate-resting heart rate)/maximum deposit heart rate.
- 6. heart rate evaluation method according to claim 4, it is characterised in that according to the oxygen uptake, the maximal oxygen oxygen Amount and the race force value, calculate actual oxygen uptake, including：According to oxygen uptake and force value is run, calculates exercise intensity percentage, exercise intensity percentage=oxygen uptake/race force value；Actual oxygen uptake, actual oxygen uptake=maximal oxygen uptake * motions are calculated according to maximal oxygen uptake and exercise intensity percentage Intensity percent；Accordingly, the speed, the heart rate and the relational model of the actual oxygen uptake are established, is specially：Establish speed, heart rate and exercise intensity percentage, run force value, the relational model of actual oxygen uptake.
- 7. heart rate evaluation method according to claim 6, it is characterised in that establish the speed, the heart rate with it is described After the relational model of actual oxygen uptake, in addition to：Judge whether fatigue occur according to run duration, if so,The real-time speed is substituted into the relational model and obtains real time kinematics intensity percent and race force value；If the real time kinematics intensity percent is more than or equal to preset strength, and the duration exceedes preset duration, thenThe speed got during by sensor signal reliable in quality substitutes into the relational model and obtains starting point exercise intensity percentage, Using the heart rate accordingly got as starting point heart rate；The difference of the starting point exercise intensity percentage and the real time kinematics intensity percent is calculated, as strength difference；According to starting point exercise intensity percentage, run force value and strength difference calculating heart rate rate of descent；According to starting point heart rate and heart rate rate of descent, terminal heart rate stable under the real-time speed is calculated.
- 8. the heart rate evaluation method according to claim 1 or 7, it is characterised in that calculate stabilization under the real-time speed After terminal heart rate, in addition to：The heart rate got during using sensor signal reliable in quality is as starting point heart rate；According to starting point heart rate and terminal heart rate, applicable line is selected in the linear relation model of default multiple times and heart rate Sexual intercourse model；Real-time heart rate between starting point heart rate and terminal heart rate is obtained according to the linear relation model.
- 9. heart rate evaluation method according to claim 1, it is characterised in that according to real-time speed and the relational model, Before calculating terminal heart rate stable under the real-time speed, in addition to：Judge whether the signal quality of sensor is reliable, if so, the exercise data obtained according to sensor calculates real-time heart rate；Otherwise, according to real-time speed and the relational model, terminal heart rate stable under the real-time speed is calculated.
- 10. a kind of heart rate estimates device, it is characterised in that including：Heart rate sensor and nine axle sensors and processing unit；The processing unit includes：Data screening module, for filtered out in historical movement data heart rate sensor signal quality it is reliable when heart rate and nine The corresponding speed that axle sensor obtains；Exercise intensity computing module, for according to the speed, the heart rate and personal parameter, race force value model, calculating actual Oxygen uptake；Modeling module, for establishing the speed, the heart rate and the relational model of the actual oxygen uptake；Heart rate estimation block, for according to real-time speed and the relational model, calculating terminal stable under the real-time speed Heart rate.
- 11. heart rate according to claim 10 estimates device, it is characterised in that the exercise intensity computing module is specifically used In：Corresponding race force value model is chosen according to the heart rate, the speed is substituted into the race force value model and tries to achieve race power Value；According to the speed, the heart rate and personal parameter, oxygen uptake and maximal oxygen uptake are calculated；According to oxygen uptake and force value is run, calculates exercise intensity percentage, exercise intensity percentage=oxygen uptake/race force value；Actual oxygen uptake, actual oxygen uptake=maximal oxygen uptake * motions are calculated according to maximal oxygen uptake and exercise intensity percentage Intensity percent；Accordingly, the modeling module is specifically used for：Establish speed, heart rate and exercise intensity percentage, run force value, the relational model of actual oxygen uptake.
- 12. heart rate according to claim 11 estimates device, it is characterised in that the heart rate estimation block is additionally operable to： Establish after the relational model of the speed, the heart rate and the actual oxygen uptake,Judge whether fatigue occur according to run duration, if so,The real-time speed is substituted into the relational model and obtains real time kinematics intensity percent and race force value；If the real time kinematics intensity percent is more than or equal to preset strength, and the duration exceedes preset duration, thenThe speed got during by sensor signal reliable in quality substitutes into the relational model and obtains starting point exercise intensity percentage, Using the heart rate accordingly got as starting point heart rate；The difference of the starting point exercise intensity percentage and the real time kinematics intensity percent is calculated, as strength difference；According to starting point exercise intensity percentage, run force value and strength difference calculating heart rate rate of descent；According to starting point heart rate and heart rate rate of descent, terminal heart rate stable under the real-time speed is calculated.
- 13. the heart rate estimation device according to claim 10 or 12, it is characterised in that the heart rate estimation block is also used In：After terminal heart rate stable under calculating the real-time speed,The heart rate that heart rate sensor signal quality is got when reliable is as starting point heart rate；According to starting point heart rate and terminal heart rate, applicable line is selected in the linear relation model of default multiple times and heart rate Sexual intercourse model；Real-time heart rate between starting point heart rate and terminal heart rate is obtained according to the linear relation model.
- 14. heart rate according to claim 10 estimates device, it is characterised in that：The heart rate sensor and nine axle sensor are arranged in Intelligent worn device；The processing unit is arranged in the Intelligent worn device, or is arranged on the intelligence with Intelligent worn device binding In terminal.
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