CN105286845A - Movement noise elimination method suitable for wearable heart rate measurement device - Google Patents
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Abstract
The invention discloses a movement noise elimination method suitable for a wearable heart rate measurement device. The method aims at improving the heart rate measurement accuracy of the wearable heart rate measurement device. In the method, the wearable heart rate measurement device collects multiple pulse oximeter signals and movement acceleration signals, during the same time period, of a user; the spectrum peak positions of movement noise in multiple pulse oximeter signal frequency spectrums are flush with the spectrum peak positions of movement acceleration signal frequency spectrums, and the pulse oximeter signal frequency spectrums can be removed through the spectral subtraction method; finally, the heart rate frequency point positions are accurately positioned according to the spectrum peak tracking mechanism. By means of the method, movement noise in heart rates is effectively eliminated, the non-peak situation, the multi-peak situation and the target spectrum peak tracking loss situation which happen to the pulse oximeter signal frequency spectrums after the spectral subtraction method is conducted are eliminated, and accurate measurement, based on the wearable device, of real-time heart rates is achieved.
Description
Technical field
The present invention relates to field of information processing, particularly relate to a kind of motion artifacts removing method being applicable to wearable heart rate measuring device.
Background technology
Heart rate refers to human heart number of times of beating per minute, is as the criterion with first sound.In human parameters detects, heart rate is an important physical signs, for medical diagnosis provides reference.Meanwhile, heart rate also can be used as the objective evaluation index of human motion physiological stress.Along with the rise of the wearable smart machines such as intelligent watch, Intelligent spire lamella, Intelligent bracelet, and people are for the attention of health status, based on photoplethysmographic signal, the method that heart rate is monitored received to the extensive concern of industrial quarters and academia.
Due to normal containing motion artifacts in photoplethysmographic signal, be difficult to Measurement accuracy heart rate, need corresponding noise-removed technology.The technology of existing many removal motion artifacts is suggested at present, and such as Independent Component Analysis (ICA), Wavelet noise-eliminating method, adaptive-filtering denoising method (ANC), classical mode decomposition method (EMD) etc. are all widely used.But above-mentioned algorithm is mainly for relaxing or inviolent motion, and such as hands moves, walk, jog (speed is lower than 8km/h).When motion artifacts is very strong, the effect of above-mentioned algorithm is then unsatisfactory.
The present invention proposes a kind of removing method for strong movements noise.In the method, in multiple photoplethysmographic signal frequency spectrum, the frequency location of motion artifacts aligns with the frequency location of acceleration of motion signal spectrum, utilize spectrum-subtraction easily can deduct motion artifacts spectrum peak from multiple original photoplethysmographic signal frequency spectrum, obtain multiple clean photoplethysmographic signal frequency spectrum.Meanwhile, this method propose spectrum peak follow-up mechanism, can process occur in multiple photoplethysmographic signal frequency spectrum after spectrum-subtraction compose peak by with the situation of losing without peak, multimodal and target.Invention effectively eliminates the motion artifacts in heart rate, achieve the Measurement accuracy based on the real-time heart rate of wearable device and calculating.
Summary of the invention
Technical problem to be solved by this invention be how when motion artifacts strongly provide a kind of method of effective removal motion artifacts, to obtain real-time heart rate value accurately.
In order to solve the problems of the technologies described above, the invention provides a kind of motion artifacts removing method being applicable to wearable heart rate measuring device, comprise spectrum-subtraction and spectrum peak follow-up mechanism two parts, it is characterized in that:
Described wearable heart rate measuring device gathers with the multiple photoplethysmographic signal in the time period and acceleration of motion signal at user's wrist place; Then, described spectrum-subtraction is utilized to remove motion artifacts in multiple photoplethysmographic signal; Finally, heart rate frequency point position is accurately located according to described spectrum peak follow-up mechanism.
The method comprises the steps:
Described wearable heart rate measuring device gathers the multiple photoplethysmographic signal of user at one time in section and acceleration of motion signal; Down-sampling process is carried out to above-mentioned multiple photoplethysmographic signal and acceleration of motion signal; Then the above-mentioned signal after down-sampling is carried out bandpass filtering operation.
Described spectrum-subtraction removes described motion artifacts signal effectively according to the strong correlation performance of motion artifacts signal in described acceleration of motion signal and described multiple photoplethysmographic signal, obtains multiple pure photoplethysmographic signal frequency spectrum; Each sub stage of described spectrum peak follow-up mechanism processes above-mentioned multiple pure photoplethysmographic signal frequency spectrum, the heart rate frequency point position of consumer positioning.
Preferably, the embedded multiple photoplethysmographic sensor of described wearable heart rate measuring device and three axis accelerometer; Multiple photoplethysmographic signal of described multiple photoplethysmographic sensor acquisition user; Described three axis accelerometer gather user at the same time between acceleration of motion signal in section.
Preferably, in described multiple photoplethysmographic signal, motion artifacts has more identical frequency with synchronous described acceleration of motion signal, the frequency location of motion artifacts in described multiple photoplethysmographic signal frequency spectrum is alignd with the frequency location of described acceleration of motion signal spectrum, utilize described spectrum-subtraction easily can deduct the spectrum peak of motion artifacts from described multiple photoplethysmographic signal frequency spectrum, obtain multiple clean photoplethysmographic signal frequency spectrum.
Preferably, for guaranteeing that described spectrum-subtraction is effective, described multiple photoplethysmographic signal frequency spectrum and described acceleration of motion signal spectrum needed to be operated by energy normalized before carrying out described spectrum-subtraction.
Preferably, described spectrum peak follow-up mechanism is mainly based on following two principles: the first, and in described multiple photoplethysmographic signal frequency spectrum, maximum spectrum peak position is corresponding with heart rate spectrum peak position in most cases; The second, the continuous window center rate overlapping in major part is very close; Described spectrum peak follow-up mechanism is selected and composes peak to find that three sub stages form by initializing, composing peak.
Compared with prior art, technical scheme provided by the invention effectively eliminates the motion artifacts in heart rate, and solve occur in multiple photoplethysmographic signal frequency spectrum after spectrum-subtraction without peak, multimodal and target spectrum peak by with the situation of losing.Thus improve the heart rate measurements precision of wearable heart rate measuring device, achieve the measurement and calculation of the real-time heart rate based on wearable device.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the motion artifacts removing method of the embodiment of the present invention;
Fig. 2 is the schematic flow sheet of the spectrum-subtraction of the embodiment of the present invention.
Detailed description of the invention
Describe embodiments of the present invention in detail below in conjunction with drawings and Examples, to the present invention, how application technology means solve technical problem whereby, and the implementation procedure reaching relevant art effect can fully understand and implement according to this.
In technical scheme of the present invention, in multiple photoplethysmographic signal frequency spectrum, the frequency location of motion artifacts aligns with the frequency location of acceleration of motion signal spectrum, utilize acceleration of motion signal spectrum easily can deduct the spectrum peak of motion artifacts from multiple original photoplethysmographic signal frequency spectrum, obtain multiple clean photoplethysmographic signal frequency spectrum.Meanwhile, this method propose spectrum peak follow-up mechanism, can process occur in multiple photoplethysmographic signal frequency spectrum after spectrum-subtraction compose peak by with the situation of losing without peak, multimodal and target.This technical scheme effectively eliminates the motion artifacts in heart rate, achieves the Measurement accuracy based on the real-time heart rate of wearable device and calculating.
The motion artifacts removing method of embodiment one, wearable heart rate measuring device
Fig. 1 is the schematic flow sheet of the motion artifacts removing method of the present embodiment, and Fig. 2 is the schematic flow sheet of the spectrum-subtraction of the present embodiment.
The present embodiment shown in Fig. 1, is the overall flow of the motion artifacts removing method of wearable heart rate measuring device, mainly comprises the steps:
Step S210, wearable heart rate measuring device utilizes two photoplethysmographic signal being distributed in photoplethysmographic sensor acquisition two passages of diverse location (hereinafter referred to as PPG
1and PPG
2), utilize three axis accelerometer collection with the acceleration of motion signal of the passage of three in the time period.
Step S220, the original sampling frequency of above-mentioned primary signal is 125Hz, and for reducing amount of calculation, needing to carry out down-sampling to sample frequency to above-mentioned primary signal is the operation of 25Hz.
Step S230, the second order Butterworth filter that the above-mentioned signal demand after down-sampling is 0.4Hz-4Hz by passband carries out filtering, to eliminate the interference of motion artifacts beyond certain frequency scope and other noise.
Step S240, in two photoplethysmographic signal frequency spectrums, the frequency location of motion artifacts aligns with the frequency location of acceleration of motion signal spectrum, utilizes spectrum-subtraction can obtain removing two photoplethysmographic signal frequency spectrums of motion artifacts, namely clean PPG
1, PPG
2signal spectrum.
In this step, typically, the concrete steps of spectrum-subtraction are as shown in Figure 2:
Step S310, for each Frequency point f
i(i=1 ..., N), from the acceleration of motion signal spectrum of three passages, select maximum spectral coefficient, be defined as C
i.
Step S320, PPG
1, PPG
2signal spectrum is at each Frequency point f
i(i=1 ..., N) on spectral coefficient all deduct C
i, PPG after above-mentioned process
1signal spectrum is at 0≤f
iin≤199 scopes, spectral coefficient maximum is defined as p
max1, PPG
2signal spectrum is at 0≤f
iin≤199 scopes, spectral coefficient maximum is defined as p
max2.
Step S330, PPG
1signal spectrum is at 0≤f
iin≤199 scopes, spectral coefficient is less than p
max1/ 4 be all set to 0, PPG
2signal spectrum is at 0≤f
iin≤199 scopes, spectral coefficient is less than p
max2/ 4 be all set to 0.
Step S340, obtains the clean photoplethysmographic signal frequency spectrum of two different passages after aforesaid operations, now starts spectrum peak follow-up mechanism, to reach the object of locating heart rate frequency point position exactly.
In order to better set forth described spectrum-subtraction, to following some be described:
The first, the Frequency point f of digital signal spectrum
i(i=1 ..., N) from 0, the relation between itself and location index i as shown in formula (1),
f
i＝i-1(1)
The second, the Frequency point f of digital signal spectrum
iwith the frequency f relation of analogue signal as shown in formula (2),
Wherein, f
sfor sample frequency, N is sampled point;
3rd, the mankind have the maximum heart rate of record to be 230 beats/min, and the heart rate that (comprises strenuous exercise) is in most cases lower than 180 beats/min; F is set in the present embodiment
s=25Hz, N=1024, therefore described spectrum-subtraction only analyzes 0≤f
itwo photoplethysmographic signal frequency spectrums in≤199 scopes;
4th, effective in order to ensure spectrum-subtraction, should notice that two photoplethysmographic signal frequency spectrums and acceleration of motion signal spectrum needed to be operated by energy normalized before carrying out spectrum-subtraction process.
Step S250, obtains two clean photoplethysmographic signal frequency spectrums after aforesaid operations, the heart rate frequency point position of recycling spectrum peak follow-up mechanism consumer positioning.
In this step, typically, compose peak follow-up mechanism to be made up of three parts:
1) initialize: need user to reduce hand exercise in initial several seconds as far as possible, to ensure the accuracy of initial heart rate frequency point position, in the present embodiment, select PPG
1the heart rate spectrum peak position of maximum position, peak as correspondence is composed in signal spectrum;
2) compose peak to select: utilize the spectrum peak position in last time window corresponding to heart rate to go to find the spectrum peak corresponding to two photoplethysmographic signal spectral centroid rates of actual time window;
In actual applications, there will be some extreme cases.In latter two photoplethysmographic signal frequency spectrum of spectrum-subtraction, such as there is the situation without peak or multimodal.Wherein, two photoplethysmographic signal frequency spectrums are referred to all without the spectrum peak corresponding to heart rate or only have a photoplethysmographic signal frequency spectrum to contain spectrum peak corresponding to heart rate without peak; Multimodal refers to there is multiple spectrum peak near the spectrum peak position corresponding to two photoplethysmographic signal spectral centroid rates or only have near the spectrum peak position corresponding to a photoplethysmographic signal spectral centroid rate to there is multiple spectrum peak.
3) compose peak to find: this stage can effectively prevent multiple continuous time window from occurring unusual condition and causing spectrum peak corresponding to heart rate by with the situation of losing.
Compose peak follow-up mechanism in the present embodiment, can effectively process occur in latter two photoplethysmographic signal frequency spectrum of spectrum-subtraction without peak, multimodal and target spectrum peak by with the situation of losing.
Step S260, after above-mentioned steps process, can export the real-time heart rate value of user.
In the present embodiment, embedded two the photoplethysmographic sensors of wearable heart rate measuring device and three axis accelerometer, and gather with the photoplethysmographic signal of two in the time period and acceleration of motion signal at user's wrist place; In two photoplethysmographic signal frequency spectrums, the spectrum peak position of motion artifacts and the spectrum peak position of acceleration of motion signal spectrum align, and utilize spectrum-subtraction can obtain removing two photoplethysmographic signal frequency spectrums of motion artifacts; Finally, heart rate frequency point position can accurately be located according to spectrum peak follow-up mechanism.The method effectively eliminates the motion artifacts in heart rate, solve occur in latter two photoplethysmographic signal frequency spectrum of spectrum-subtraction without peak, multimodal and target spectrum peak by with the situation of losing.Thus improve the heart rate measurements precision of wearable heart rate measuring device, achieve the measurement and calculation of the real-time heart rate based on wearable device.
Although the embodiment disclosed by the present invention is as above, the embodiment that foregoing just adopts for the ease of understanding the present invention, and be not used to limit the present invention.Under the prerequisite of the spirit do not departed from disclosed by the present invention and scope, any modification and change can be done what implement in form and in details, but scope of patent protection of the present invention, the scope that still must define with appending claims is as the criterion.
Claims (5)
1. be applicable to a motion artifacts removing method for wearable heart rate measuring device, comprise spectrum-subtraction and spectrum peak follow-up mechanism two parts, it is characterized in that:
Described wearable heart rate measuring device gathers with the multiple photoplethysmographic signal in the time period and acceleration of motion signal at user's wrist place; Then, described spectrum-subtraction is utilized to remove motion artifacts in multiple photoplethysmographic signal; Finally, heart rate frequency point position is accurately located according to described spectrum peak follow-up mechanism;
The method comprises the steps:
Described wearable heart rate measuring device gathers the multiple photoplethysmographic signal of user at one time in section and acceleration of motion signal; Down-sampling process is carried out to above-mentioned multiple photoplethysmographic signal and acceleration of motion signal; Then the above-mentioned signal after down-sampling is carried out bandpass filtering operation;
Described spectrum-subtraction removes described motion artifacts signal effectively according to the strong correlation performance of motion artifacts signal in described acceleration of motion signal and described multiple photoplethysmographic signal, obtains multiple pure photoplethysmographic signal frequency spectrum; Each sub stage of described spectrum peak follow-up mechanism processes above-mentioned multiple pure photoplethysmographic signal frequency spectrum, the heart rate frequency point position of consumer positioning.
2. the motion artifacts removing method being applicable to wearable heart rate measuring device according to claim 1, is characterized in that:
The embedded multiple photoplethysmographic sensor of described wearable heart rate measuring device and three axis accelerometer; Multiple photoplethysmographic signal of described multiple photoplethysmographic sensor acquisition user; Described three axis accelerometer gather user at the same time between acceleration of motion signal in section.
3. the motion artifacts removing method being applicable to wearable heart rate measuring device according to claim 1, is characterized in that:
In described multiple photoplethysmographic signal, motion artifacts has more identical frequency with synchronous described acceleration of motion signal, the frequency location of motion artifacts in described multiple photoplethysmographic signal frequency spectrum is alignd with the frequency location of described acceleration of motion signal spectrum, utilize described spectrum-subtraction easily can deduct the spectrum peak of motion artifacts from described multiple photoplethysmographic signal frequency spectrum, obtain multiple clean photoplethysmographic signal frequency spectrum.
4. the motion artifacts removing method being applicable to wearable heart rate measuring device according to claim 3, is characterized in that:
For guaranteeing that described spectrum-subtraction is effective, described multiple photoplethysmographic signal frequency spectrum and described acceleration of motion signal spectrum needed to be operated by energy normalized before carrying out described spectrum-subtraction.
5. the motion artifacts removing method being applicable to wearable heart rate measuring device according to claim 1, is characterized in that:
Described spectrum peak follow-up mechanism is mainly based on following two principles: the first, and in described multiple photoplethysmographic signal frequency spectrum, maximum spectrum peak position is corresponding with heart rate spectrum peak position in most cases; The second, the continuous window center rate overlapping in major part is very close; Described spectrum peak follow-up mechanism is selected and composes peak to find that three sub stages form by initializing, composing peak.
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