CN109640789A - Interference analysis method and device, the wearable device of bio signal - Google Patents
Interference analysis method and device, the wearable device of bio signal Download PDFInfo
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Abstract
The application section Example provides the interference analysis method and device, wearable device of a kind of bio signal.The interference analysis method of bio signal includes: to obtain waveform parameter according to the bio signal；Motion artifacts parameter is obtained according to the motion disturbance signals；The waveform parameter and the motion artifacts parameter are analyzed, the degree that the bio signal is disturbed is obtained.Using embodiments herein, the degree that bio signal is disturbed can be analyzed, the degree so as to be disturbed according to bio signal chooses different types of processing method to carry out subsequent processing to bio signal, to obtain accurate biological parameter.
Description
The present application relates to the field of signal processing technologies, and in particular, to a method and an apparatus for interference analysis of biological signals, and a wearable device.
With the improvement of living standard, people pay more and more attention to their health level. The heart rate is the number of beats per minute of the human heart and is a very important physiological index in clinical diagnosis. The traditional medical equipment requires a user to be in a static state when measuring the heart rate, and is inconvenient to carry; therefore, many manufacturers produce wearable devices that can measure heart rate so that users can measure heart rate in a daily life state.
The most common existing heart rate measurement method is a photoplethysmography (PPG), which uses a Light Emitting Diode (LED) to emit light with a specific wavelength, and the light is transmitted, scattered, diffracted, and reflected by human tissues and then returned, and the returned light signal is converted into an electrical signal, so as to obtain a corresponding PPG signal. In the process of transmitting the light beam through human tissues, the light beam is attenuated due to the absorption of the human tissues, wherein the absorption of static tissues such as skin, fat, muscle and the like is a constant value, and blood generates periodic volume change due to the contraction and relaxation cycles of the heart, so that the PPG signal contains periodic waveforms consistent with the heartbeat, the heartbeat frequency can be measured according to the PPG signal, and the measurement of the heartbeat by using a photoplethysmography is a noninvasive and harmless measurement method.
The inventor finds that the prior art has at least the following problems: the requirement of heart rate measurement on the wearable device on the photoelectric pulse volume method is high, because a user needs to measure the heart rate in a motion state, the muscle and the pressure can be changed in the motion state, and the light beam transmission light path is changed; besides the pulse wave signal, the photoelectric pulse volume (PPG) signal also superposes the movement interference signal. The frequency and the intensity of the motion interference generated by different motion states are different, and the frequency and the intensity of the motion interference are continuously changed; the human heart rate range is typically in the range of 0.5Hz-4Hz, and many frequencies of motion of the human body are also in this range, so that various types of interference signals in the PPG signal cannot be removed by filtering alone. Therefore, the interference degree of the PPG signals is different under different motion states of the user, and if the PPG signals with different interference degrees are processed in the same way to obtain the heart rate value, the accuracy degree of the obtained heart rate value is different; that is, if the interference degree of the currently measured PPG signal is large, the accuracy of the calculated heart rate value is low, and it cannot be distinguished currently.
Disclosure of Invention
Some embodiments of the present application provide a method and an apparatus for analyzing interference of a biological signal, and a wearable device, which can analyze the degree of interference of the biological signal, so that different types of processing methods can be selected according to the degree of interference of the biological signal in subsequent processing, so as to obtain a more accurate biological parameter.
The embodiment of the application provides an interference analysis method of a biological signal, which is applied to wearable equipment, wherein the wearable equipment can acquire the biological signal and a motion interference signal; the method comprises the following steps: acquiring waveform parameters according to the biological signals; acquiring a motion interference parameter according to the motion interference signal; and analyzing the waveform parameters and the motion interference parameters to obtain the interference degree of the biological signals.
The embodiment of the application also provides an interference analysis device of the biological signal, which is applied to the wearable equipment, and the wearable equipment can acquire the biological signal and the motion interference signal; the device comprises: the waveform parameter acquisition module is used for acquiring waveform parameters according to the biological signals; the motion interference parameter acquisition module is used for acquiring motion interference parameters according to the motion interference signals; and the interference analysis module is used for analyzing the waveform parameters and the motion interference parameters to obtain the interference degree of the biological signals.
The embodiment of the present application further provides a wearable device, including: the system comprises a first sensor, a second sensor, a memory and a processor connected with the first sensor, the second sensor and the memory; the first sensor is used for acquiring a biological signal; the second sensor is used for acquiring a motion interference signal; the memory is used for storing a plurality of instructions; the processor is used for loading a plurality of instructions and executing the function of the interference analysis device of the biological signals.
Compared with the prior art, the method and the device have the advantages that the waveform parameters are obtained according to the biological signals, the motion interference parameters are obtained according to the motion interference signals, and the waveform parameters and the motion interference parameters are respectively analyzed, so that the characteristics of the biological signals and the influence of motion on the biological signals can be obtained, the interference degree of the biological signals can be obtained, different types of processing methods can be selected according to the interference degree of the biological signals in subsequent processing, and more accurate biological parameters can be obtained.
In addition, analyzing the waveform parameters and the motion interference parameters to obtain the interference degree of the biological signals, specifically comprising: if the waveform parameter meets a first preset condition and the motion interference parameter meets a second preset condition, judging that the interference degree of the biological signal belongs to a first interference level; if the waveform parameter does not meet the first preset condition or the motion interference parameter does not meet the second preset condition, judging that the interference degree of the biological signal is a second interference level; the first interference level is indicative of an interference strength that is lower than an interference strength of the second interference level. The present embodiment provides a specific way of determining the degree to which a bio-signal is disturbed.
In addition, the waveform parameters and the motion interference parameters are analyzed to obtain the interference degree of the biological signals, and the method specifically comprises the following steps: if the waveform parameter does not meet the first preset condition and the motion interference parameter does not meet the second preset condition, judging that the interference degree of the biological signal is a third interference level; the second interference level is indicative of an interference strength that is lower than an interference strength of the third interference level. This embodiment further refines the level of the extent to which the bio-signal is disturbed.
In addition, the waveform parameters include one or any combination of the following parameters: the average value of the adjacent peak intervals and the adjacent trough intervals, the time difference of the adjacent peak intervals, the variance of the adjacent peak intervals and the adjacent trough intervals and the waveform time characteristic value. The present embodiment provides a specific kind of waveform parameter.
In addition, the motion interference signal is an acceleration signal; the motion disturbance parameters comprise the sum of the absolute values of the acceleration at each moment and the sum of the absolute values of the acceleration difference values at adjacent moments. The present embodiment provides a specific kind of motion disturbance parameter.
In addition, the waveform time characteristic value RdisThe calculation formula of (2) is as follows: wherein N isallIs the number of cycles of the waveform; n is a radical ofnorThe ratio of the time length of the ascending section to the time length of the descending section in all the periods of the waveform belongs to the number of the periods in the preset range. The embodiment provides a specific calculation formula of the waveform time characteristic value.
In addition, acquiring waveform parameters according to the biological signals specifically comprises: filtering interference in the biological signal; and calculating waveform parameters according to the biological signals after the interference is filtered. The embodiment provides a specific implementation mode for acquiring the waveform parameters, and meanwhile, the waveform parameters are calculated after the motion interference in the biological signals is filtered, so that the calculation complexity can be reduced.
In addition, the acceleration signal is a multidimensional acceleration signal; obtaining a motion interference parameter according to the motion interference signal, specifically comprising: carrying out dimensionality reduction processing on the multi-dimensional acceleration signal and obtaining a one-dimensional acceleration signal representing motion interference; and calculating the motion interference parameters according to the one-dimensional acceleration signals. In the embodiment, the multidimensional acceleration signals are subjected to dimension reduction processing, so that the calculation complexity can be reduced.
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a detailed flowchart of a method for interference analysis of a biosignal according to a first embodiment of the present application;
figure 2 is a waveform diagram of a typical PPG signal according to a first embodiment of the present application;
FIG. 3 is a detailed flowchart of a method for interference analysis of bio-signals according to a second embodiment of the present application;
FIG. 4 is a detailed flowchart of a method for interference analysis of bio-signals according to a third embodiment of the present application;
FIG. 5 is a detailed flowchart of a method for interference analysis of bio-signals according to a fourth embodiment of the present application;
FIG. 6 is a detailed flowchart of a method for interference analysis of bio-signals according to a fifth embodiment of the present application;
FIG. 7 is a block diagram of an interference analysis apparatus for biosignals according to a sixth embodiment of the present application;
FIG. 8 is a block diagram schematically illustrating an interference analyzing apparatus for biosignals according to a seventh embodiment of the present application;
fig. 9 is a block diagram schematically illustrating an interference analyzing apparatus for biosignals according to an eighth embodiment of the present application;
fig. 10 is a block schematic diagram of an interference analysis apparatus for biosignals according to a ninth embodiment of the present application;
fig. 11 is a block schematic diagram of a wearable device according to a tenth embodiment of the present application.
In order to make the objects, technical solutions and advantages of the present application more apparent, some embodiments of the present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The first embodiment of the application relates to an interference analysis method of a biological signal, which is applied to wearable equipment, such as an earphone, a bracelet, a head ring and the like, wherein the wearable equipment can acquire the biological signal and a motion interference signal; the biological signal may be a photoplethysmography (PPG) signal, an electrocardiographic signal, or the like, and the motion disturbance signal may be an acceleration signal.
In this embodiment, an example in which the biological signal is a photoplethysmography (PPG) signal is described, and a specific flow of the interference analysis method of the biological signal is shown in fig. 1.
Step 101, obtaining waveform parameters according to the biological signals.
Specifically, the acquired biological signals are processed, and effective components of the biological signals are extracted; for example, the biological signal is a PPG signal, and the effective component of the PPG signal is a component closely related to the heart rate, i.e., the alternating component PPG in the PPG signalac(n)，ppgacThe specific calculation formula of (n) is as follows: ppg ofac(n)＝ppgamp(n)-ppgdc(n); wherein ppgamp(n) is the PPG signal value, PPGdc(n) is the DC component of the PPG signal.
Direct current component PPG of PPG signaldc(n) can be obtained by averaging the PPG signal values over a window of time, with the following specific formula:
where N denotes the normal window time for calculating the mean value of the PPG signal, N denotes the current moment at which the mean value of the PPG signal is calculated, PPGamp(i) Representing the PPG signal value at instant i.
In the above formula for averaging the PPG signal values within the window time, when N is greater than or equal to 1 and less than N, since the data amount within the window time at the current time N does not reach the data amount of the normal window time N, the average value of N PPG signal values needs to be used as the dc component of the PPG signal; when N ═ N, the current time N contains a sufficient amount of data in the window time, and the average value of the PPG signals can be calculated as the dc component of the PPG signals by taking the latest N data, i.e., the current time N and N-1 data closer to the current time N.
Direct current component PPG of PPG signaldc(n) can also be solved by means of α filter, and the specific formula is as follows:
wherein α denotes the filter parameters.
In the present embodiment, the method for obtaining the effective component of the PPG signal is given by taking the biological signal as the PPG signal as an example, but the method for obtaining the effective component of the PPG signal is not limited to this, and the method for obtaining the effective component of the PPG signal differs depending on different biological signals.
Waveform parameters can be calculated according to the effective components in the extracted biological signals, and the waveform parameters comprise one or any combination of the following parameters: the average value of the interval between adjacent peaks and the interval between adjacent valleys, the time difference of the interval between adjacent peaks, the variance of the interval between adjacent peaks and the interval between adjacent valleys and the waveform time characteristic value; the more the waveform parameters include, the more accurate the judgment of the interference degree of the biological signal is.
In one example, the waveform parameters include all four parameters, and the following description will be given by taking the biological signal as the PPG signal as an example:
referring to fig. 2, which is a waveform diagram of a typical PPG signal, phase 1 represents a rising segment of a pulse wave, which represents a rapid ejection cycle of a ventricle and shows a rapid and smooth rising speed, the rising speed is related to the ejection capability of the ventricle, the resistance of an arterial vessel and the elasticity of a vessel wall, and occupies a relatively short time of a pulse wave fluctuation cycle, and a point a is located at a position where the ventricular ejection is finished, and then the aorta is closed, and enters a falling segment. Stage 2 represents the falling period of the pulse wave, which is a period from the end of ventricular ejection to the beginning of the next ejection, and occupies a relatively long time of a pulse fluctuation period; obtaining a section of PPG signal data with the length of M seconds, and counting the position [ peak ] of the peak of the PPG signal within M secondspos(1),…,peakpos(n),…]And the position of the trough [ valleypos(1),…,valleypos(n),…]。
1. And calculating the mean value of the adjacent peak intervals and the adjacent valley intervals of the parameters.
Adjacent peak spacing dispeak(n) the calculation formula is: dispeak(n)＝peakpos(n+1)-peakpos(n); adjacent trough spacing disvalleyThe calculation formula of (n) is: disvalley(n)＝valleypos(n+1)-valleypos(n)。
In summary, the average Avg of adjacent peak intervals and adjacent valley intervals can be calculateddisThe specific calculation formula is as follows:
wherein N isdispNumber of wave crest intervals in M secondsMesh, NdisvIs the number of valley intervals in M seconds, dispeak(. is the spacing of adjacent peaks, disvalley(. cndot.) is the spacing of adjacent valleys.
2. And calculating the time difference of the adjacent peak intervals of the parameters.
Time difference Diff between adjacent peaksdisThe calculation formula of (n) is as follows:
Diffdis(n)＝dispeak(n+1)-dispeak(n)
wherein dispeak(. cndot.) is the spacing between adjacent peaks.
It should be noted that there are a plurality of time differences between adjacent peak intervals, and each two peak intervals have a time difference.
3. The variance of the spacing between adjacent peaks and the spacing between adjacent valleys is calculated.
Variance Var of adjacent peak spacing to adjacent valley spacingdisThe calculation formula of (a) is as follows:
wherein dispeak(. is the spacing of adjacent peaks, disvalley(. is adjacent valley spacing, Avg)disIs the mean of the spacing between adjacent peaks and the spacing between adjacent valleys, NdispNumber of peak intervals in M seconds, NdisvThe number of valley intervals in M seconds.
4. And calculating the time characteristic value of the parameter waveform.
Rise period time length disriseThe calculation formula of (n) is:
disrise(n)＝peakpos(n)-valleypos(n)
the length of the descent segment disdesThe calculation formula of (n) is:
disdes(n)＝valleypos(n+1)-peakpos(n)
wherein, peakpos(. represents the position of the peak, valleypos(. cndot.) denotes the position of the trough.
Then, the ratio (n) of the time lengths of the ascending section and the descending section is obtained, and the specific calculation formula is as follows: ratio (n) ═ disrise/disdes
According to the ratio (n) of all periods of the calculated waveform, counting the ratio (n) in a preset range (ratio)th1，ratioth2) Number of cycles N innor(ii) a Wherein ratioth1And ratioth2Can make preliminary setting according to wearing equipment's user's age, weight, sex etc. then according to the characteristic of the user PPG signal of continuous accumulation, adjust through the mode of deep learning to make preset range more accurate, usually ratioth1≤ratioth2＜1。
In summary, the waveform time characteristic value R can be obtaineddisThe specific calculation formula is as follows:
wherein N isallIs the number of cycles of the waveform; n is a radical ofnorThe ratio of the time length of the ascending section to the time length of the descending section in all the periods of the waveform belongs to the number of the periods in the preset range.
Preferably, before extracting the effective components in the biological signal, whether the acquired biological signal is in a normal interval or not can be judged, if the biological signal is outside the normal interval, the biological signal is possibly wrong and needs to be adjusted so as to enable the biological signal to be in the normal interval, and the accuracy of waveform parameters acquired according to the biological signal subsequently is higher; the normal interval may be set according to experimental experience. For example, the biological signal is a PPG signal, and its normal interval is (light)th1，lightth2) If the PPG signal value PPGampLess than lightth1The light intensity of light emitted by the light source can be increased by adjusting the light source parameter to increase the value of the PPG signal; if the PPG signal value PPGampGreater than lightth2The light intensity of the light emitted by the light source can be reduced by adjusting the light source parameters to reduce the PPG signal value.
And 102, acquiring a motion interference parameter according to the motion interference signal.
Specifically, in one example, the motion disturbance signal is an acceleration signal, and a corresponding motion disturbance parameter is calculated according to the acceleration signal, wherein the motion disturbance parameter includes a Sum of absolute values of the acceleration at each momentaccAnd the absolute value of the difference between the accelerations at adjacent timesAnd SumdifaccThe specific calculation formula is as follows;
here, acc (·) represents the acceleration at each time, and | · | represents an absolute value.
It should be noted that the motion interference signal in the present embodiment is an acceleration signal, but is not limited to this, and different motion interference signals need to be selected for different biological signals.
In this embodiment, although the biological signal has motion interference, the waveform parameters obtained from the biological signal cannot completely represent the motion interference, so it is still necessary to obtain the motion interference parameters from the motion interference signal to analyze the influence of the motion interference on the biological signal.
And 103, analyzing the waveform parameters and the motion interference parameters to obtain the interference degree of the biological signals.
Specifically, the waveform parameters and the motion disturbance parameters of the calculated and obtained biological signals are analyzed, the characteristics of the biological signals can be obtained through the analysis of the waveform parameters, the influence of motion on the biological signals can be obtained through the analysis of the motion disturbance parameters, and therefore the degree of the biological signals being disturbed can be obtained.
Compared with the prior art, the method and the device have the advantages that the waveform parameters are obtained according to the biological signals, the motion interference parameters are obtained according to the motion interference signals, and the waveform parameters and the motion interference parameters are respectively analyzed, so that the characteristics of the biological signals and the influence of motion on the biological signals can be obtained, the interference degree of the biological signals can be obtained, different types of processing methods can be selected according to the interference degree of the biological signals in subsequent processing, and more accurate biological parameters can be obtained.
The second embodiment of the present application relates to a method for analyzing interference of biological signals, which is a refinement of the first embodiment, and mainly comprises the following steps: the waveform parameter and the motion interference parameter are analyzed in step 103 of the first embodiment to obtain the interference degree of the biological signal, which is described in detail.
Fig. 3 shows a specific flow of the interference analysis method of biological signals in this embodiment.
Step 201 and step 202 are substantially the same as step 101 and step 102, and are not described herein again, the main differences are: in this embodiment, the step 203 analyzes the waveform parameter and the motion interference parameter to obtain the interference degree of the biological signal, and specifically includes:
sub-step 2031, determining whether the waveform parameter satisfies a first preset condition. If yes, go to substep 2032; if not, then sub-step 2034 is entered.
Specifically, according to the waveform parameters of the biological signal calculated in step 101 (step 201 in the present embodiment) of the first embodiment, the first preset conditions are to respectively determine whether the parameters included in the waveform parameters all satisfy corresponding preset conditions; the waveform parameters comprise a mean value between adjacent peak intervals and adjacent trough intervals, a time difference between adjacent peak intervals, a variance between adjacent peak intervals and adjacent trough intervals and a waveform time characteristic value, and different thresholds are set according to different parameters to judge whether the preset conditions are met, specifically as follows:
1. average Avg when adjacent peak intervals are spaced from adjacent valley intervalsdisIn a predetermined mean range (Th)avgup，Thavgdown) When the Avg is in the interior, the Avg is judgeddisThe corresponding preset conditions are met; otherwise, judging AvgdisNot meeting the corresponding preset conditions.
2. Time difference Diff when adjacent peaks are spaceddis(n) is less than or equal to a preset time difference threshold value ThavgupWhen it is, it determines Diffdis(n) satisfying the corresponding preset conditions; otherwise, Diff is determineddis(n) does not satisfy its corresponding preset condition; the time difference between adjacent wave crests is multiple, and when the time difference is judged, the time difference between every two adjacent wave crests is judged.
3. Variance Var when adjacent peak spacing is spaced from adjacent trough spacingdisLess than or equal to a preset variance threshold value ThvarupThen, Var is determineddisThe corresponding preset conditions are met; otherwise, determine VardisNot satisfying its corresponding presetAnd (4) conditions.
4. When the waveform time characteristic value RdisGreater than or equal to preset waveform characteristic threshold value ThRWhen it is, then R is determineddisThe corresponding preset conditions are met; otherwise, determine RdisNot meeting the corresponding preset conditions.
Wherein, mean value range (Th)avgup，Thavgdown) Time difference threshold value ThavgupVariance threshold ThvarupAnd a waveform characteristic threshold value ThRCan be obtained according to the waveform characteristics of the biological signal, and the embodiment does not limit the invention.
The selected waveform parameters are one or any combination of the 4 parameters, and when the selected waveform parameters all meet corresponding preset conditions, the waveform parameters can be judged to meet first preset conditions; otherwise, judging that the waveform parameters do not meet the first preset condition.
And a sub-step 2032 of determining whether the motion interference parameter satisfies a second preset condition. If so, go to substep 2033, otherwise, go to substep 2034.
In particular, the motion disturbance parameter comprises the Sum Sum of the absolute values of the accelerations at the respective instantsaccAnd Sum Sum of absolute values of acceleration differences at adjacent timesdifaccWhen SumaccLess than or equal to a preset first threshold of acceleration or SumdifaccWhen the acceleration is smaller than or equal to a preset acceleration second threshold, judging that the motion interference parameter meets a second preset condition; otherwise, judging that the motion interference parameter does not meet the second preset condition. The acceleration first threshold and the acceleration second threshold need to be set according to the motion state of the user wearing the device, and this embodiment does not limit this.
Sub-step 2033, the bio-signal is interfered to a degree belonging to the first interference level.
Specifically, when the waveform parameter satisfies a first preset condition and the motion interference parameter satisfies a second preset condition, it is determined that the interference degree of the biological signal belongs to a first interference level, and at this time, the interference degree of the biological signal is low, and the biological signal can be processed subsequently by a simpler method such as a time-domain waveform method.
It should be noted that, in the present embodiment, when the waveform parameter satisfies the first preset condition, if the number of parameters included in the waveform parameter is larger, it can be considered that the biological signal is interfered to a lower degree, that is, the biological signal includes fewer interfering signals.
Sub-step 2034, the bio-signal is interfered to a degree belonging to the second interference level.
Specifically, when the waveform parameter does not satisfy a first preset condition, or the waveform parameter satisfies the first preset condition and the motion interference parameter does not satisfy a second preset condition, at this time, it indicates that the biological signal contains more interference signals or is strongly interfered by motion, the degree of interference on the biological signal is determined to be a second interference level, and then a method with stronger interference resistance is required to be adopted to filter the interference in the biological signal; wherein the interference strength characterized by the first interference level is lower than the interference strength characterized by the second interference level.
It should be noted that, in this embodiment, the actual execution sequence of the sub-step 2031 and the sub-step 2032 is not limited, that is, in this embodiment, it may also be determined whether the motion interference parameter meets the second preset condition first, and then it is determined whether the waveform parameter meets the first preset condition; if the motion interference parameter is judged to meet the second preset condition and the waveform parameter is judged not to meet the first preset condition, the interference degree of the biological signal is judged to be the second interference level.
It should be noted that, in the embodiment, the degree of interference of the biological signal is determined by whether the parameter satisfies the preset condition, but not limited thereto, other manners, such as an accumulation manner, a weighted accumulation manner, and the like, may also be adopted, and the embodiment does not limit this. The process of determining the degree of interference of the bio-signal in an additive manner is briefly described as follows: the waveform parameters comprise one or any combination of the 4 parameters, whether the parameters included in the waveform parameters meet corresponding preset conditions is respectively judged, when the parameters meet the corresponding preset conditions, the parameters are marked as 1, when the parameters do not meet the corresponding preset conditions, the parameters are marked as 0, and numerical values of all judgment results are accumulated to be used as numerical values of the waveform parameters; when the motion interference parameter meets a second preset condition, recording as 1, and when the motion interference parameter does not meet the second preset condition, recording as 0; and finally, adding the numerical value of the waveform parameter obtained by accumulation and the numerical value of the motion interference parameter, wherein the larger the numerical value obtained by addition, the weaker the interference degree of the biological signal.
The present embodiment provides a specific way of determining the degree of interference of the biological signal, compared to the first embodiment.
The third embodiment of the present application relates to a method for analyzing interference of biological signals, which is an improvement on the second embodiment, and the main improvements are as follows: the level of the degree to which the bio-signal is disturbed is refined.
Fig. 4 shows a specific flowchart of the interference analysis method of biological signals in this embodiment.
Step 301 and step 302 are substantially the same as step 201 and step 202, and sub-step 3031 to sub-step 3034 are substantially the same as sub-step 2031 to sub-step 2034, which are not described herein again, but mainly different in that in this embodiment, sub-step 3035 and sub-step 3036 are added, specifically as follows:
and a substep 3035 of judging whether the motion interference parameter meets a second preset condition. If yes, go to substep 3034; if not, go to substep 3036.
Specifically, when the determination result in the sub-step 3031 is negative (that is, when it is determined that the waveform parameter does not satisfy the first preset condition), the sub-step 3035 is entered, that is, whether the motion interference parameter satisfies the second preset condition is determined, and the specific determination process is the same as the sub-step 2032 in the second embodiment (the sub-step 3032 in this embodiment), and details thereof are not repeated. When the judgment result of the sub-step 3035 is yes (namely, the motion interference parameter is judged to meet the second preset condition), the sub-step 3034 is entered, and the interference degree of the biological signal is judged to belong to a second interference level; otherwise, substep 3036 is entered.
Sub-step 3036, the bio-signal is disturbed to an extent belonging to a third interference level.
Specifically, when the waveform parameter does not satisfy the first preset condition and the motion interference parameter does not satisfy the second preset condition, which indicates that the biological signal contains more interference signals and is strongly interfered by motion, it is determined that the degree of interference on the biological signal belongs to the third interference level, and at this time, the biological signal needs to be acquired again or interference needs to be further filtered in the subsequent processing process. Wherein the interference strength characterized by the second interference level is lower than the interference strength characterized by the third interference level.
It should be noted that, in this embodiment, the actual execution sequence of the sub-step 3031 and the sub-step 3032 is not limited at all, that is, in this embodiment, it may also be determined whether the motion interference parameter satisfies the second preset condition first, and then it is determined whether the waveform parameter satisfies the first preset condition, at this time, the sub-step 3035 is determined whether the waveform parameter satisfies the first preset condition.
Compared with the second embodiment, after the waveform parameter is judged not to satisfy the first preset condition, whether the motion disturbance parameter satisfies the second preset condition is judged, and the level of the disturbed degree of the biological signal is further refined.
The fourth embodiment of the present application relates to a method for analyzing interference of biological signals, which is a refinement of the first embodiment, and mainly comprises the following steps: the step 101 of the first embodiment for obtaining the waveform parameters from the biosignal is described in detail.
Fig. 5 shows a specific flow of the interference analysis method of biological signals in this embodiment.
Wherein, steps 402 and 403 are substantially the same as steps 102 and 103, and are not described herein again, the main differences are: in this embodiment, the step 401 of obtaining the waveform parameters according to the biological signal specifically includes:
sub-step 4011, filtering out interferences in the biosignal.
In particular, interference in biological signals is divided into in-band interference and out-of-band interference, which may be filtered out using a Finite Impulse Response (FIR) or Infinite Impulse Response (IIR) filter. For example, a FIR filter designed based on Hanning window function is used to filter out the out-of-band interference, Hanning window whn(n) the functional formula is as follows:
the passband bandwidth of the FIR filter can be selected to be [0.4, 10] Hz, so that the information of effective components can be kept as much as possible while respiration and other interference are effectively removed. It should be noted that, in the present embodiment, the passband bandwidth of the FIR filter is not limited at all, and may be specifically set according to the type of out-of-band interference included in the biological signal.
The in-band interference is mainly motion interference, and a filter for adaptively filtering the motion interference can be adopted to filter the motion interference in the biological signal.
And a substep 4012 of calculating waveform parameters according to the biological signals after the interference is filtered out.
Specifically, after the motion interference in the biological signal is filtered, the waveform parameters are calculated according to the waveform characteristics of the biological signal.
Compared with the first embodiment, the embodiment provides a specific implementation manner for acquiring the waveform parameters, and meanwhile, the waveform parameters are calculated after the motion interference in the biological signals is filtered, so that the calculation complexity can be reduced. It should be noted that this embodiment may also be used as a refinement on the basis of any one of the second to fourth embodiments, and the same technical effects may be achieved.
The fifth embodiment of the present application relates to a method for analyzing interference of biological signals, which is a refinement of the first embodiment, and mainly comprises the following steps: the step 102 of the first embodiment is described in detail to obtain the motion interference parameter according to the motion interference signal.
Fig. 6 shows a specific flow of the interference analysis method of biological signals in this embodiment.
Wherein, steps 501 and 503 are substantially the same as steps 101 and 103, and are not described herein again, and the main differences are: in this embodiment, the motion interference signal is a multidimensional acceleration signal, and step 502 obtains a motion interference parameter according to the motion interference signal, which specifically includes:
and a substep 5021, performing dimension reduction processing on the multidimensional acceleration signal and obtaining a one-dimensional acceleration signal representing motion interference.
Specifically, when the user is in a motion state, for example, the user is walking, running, climbing a mountain, or the like, the wearable device moves in synchronization with the user, and is in the same motion state as the position where the wearable device is worn by the user, so as to generate an acceleration signal representing the motion state.
In this embodiment, dimension reduction processing may be performed by using a dimension reduction processing method such as a principal component analysis method, an independent component analysis method, and the like, but the dimension reduction processing method is not limited in this embodiment.
Substep 5022, calculating the motion disturbance parameter according to the one-dimensional acceleration signal.
Specifically, from the one-dimensional acceleration signal, according to the formula in step 102 of the first embodiment, the motion disturbance parameter, that is, the Sum of the absolute values of the acceleration at each time can be calculatedaccAnd Sum Sum of absolute values of acceleration differences at adjacent timesdifacc。
Compared with the first embodiment, the present embodiment performs the dimension reduction processing on the multidimensional acceleration signal, and can reduce the computational complexity. It should be noted that this embodiment may also be used as a refinement on the basis of any one of the second to fifth embodiments, and the same technical effects may be achieved.
The sixth embodiment of the present application relates to an interference analysis apparatus for biological signals, which is applied to wearable devices, such as earphones, bracelets, head rings, and the like, wherein the wearable devices can acquire the biological signals and motion interference signals; the biological signal may be a photoplethysmography (PPG) signal, an electrocardiographic signal, or the like, and the motion disturbance signal may be an acceleration signal. Referring to fig. 7, the interference analysis apparatus for bio-signals includes a waveform parameter obtaining module 1, a motion interference parameter obtaining module 2, and an interference analysis module 3.
The waveform parameter acquiring module 1 is used for acquiring waveform parameters according to the biological signals. The waveform parameters comprise one or any combination of the following parameters: the average value of the adjacent peak intervals and the adjacent trough intervals, the time difference of the adjacent peak intervals, the variance of the adjacent peak intervals and the adjacent trough intervals and the waveform time characteristic value.
Waveform time characteristic value RdisThe calculation formula of (2) is as follows:
wherein N isallIs the number of cycles of the waveform; n is a radical ofnorThe ratio of the time length of the ascending section to the time length of the descending section in all the periods of the waveform belongs to the number of the periods in the preset range.
The motion interference parameter obtaining module 2 is configured to obtain a motion interference parameter according to the motion interference signal. Wherein, the motion interference signal is an acceleration signal; the motion disturbance parameter comprises the sum of the absolute values of the acceleration at each moment and the sum of the absolute values of the acceleration difference values at adjacent moments.
The interference analysis module 3 is used for analyzing the waveform parameters and the motion interference parameters to obtain the interference degree of the biological signals.
It should be understood that this embodiment is a device embodiment corresponding to the first embodiment, and the embodiment can be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.
In the present embodiment, for the prior art, waveform parameters are obtained according to biological signals, motion interference parameters are obtained according to motion interference signals, and the waveform parameters and the motion interference parameters are respectively analyzed, so that characteristics of the biological signals and influences of motion on the biological signals can be obtained, and then, a degree of interference on the biological signals can be obtained, so that different types of processing methods can be selected according to the degree of interference on the biological signals in subsequent processing, and more accurate biological parameters can be obtained.
The seventh embodiment of the present application relates to an interference analysis device for biological signals, and the present embodiment is a refinement of the sixth embodiment, and mainly comprises: referring to fig. 8, the interference analysis module 3 includes a waveform parameter determination sub-module 31, an interference parameter determination sub-module 32, and an interference degree determination sub-module 33.
The waveform parameter judgment submodule 31 is configured to judge whether the waveform parameter meets a first preset condition.
The interference parameter determination submodule 32 is configured to determine whether the motion interference parameter satisfies a second preset condition.
The interference level judging submodule 33 is used to judge the level of interference of the biosignal.
The interference degree judging submodule 33 judges the degree of interference of the biological signal to be a first interference level when the waveform parameter judging submodule 31 judges that the waveform parameter satisfies the first preset condition and the interference parameter judging submodule 32 judges that the motion interference parameter satisfies the second preset condition.
The interference degree judging submodule 33 judges the interference degree of the biological signal to be a second interference level when the waveform parameter judging submodule 31 judges that the waveform parameter does not meet the first preset condition or the interference parameter judging submodule 32 judges that the motion interference parameter does not meet the second preset condition; the first interference level is characterized by an interference strength that is weaker than the second interference level.
The interference degree judging submodule 33 judges the degree of interference of the biological signal to be a third interference level when the waveform parameter judging submodule 31 judges that the waveform parameter does not meet the first preset condition and the interference parameter judging submodule 32 judges that the motion interference parameter does not meet the second preset condition; the second interference level is characterized by an interference strength that is weaker than the third interference level.
Since the second and third embodiments correspond to the present embodiment, the present embodiment can be implemented in cooperation with the second and third embodiments. The related technical details mentioned in the second and third embodiments are still valid in this embodiment, and the technical effects achieved in the second and third embodiments can also be achieved in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the second embodiment and the third embodiment.
The present embodiment provides a specific way of determining the degree of interference of the biosignal, compared to the sixth embodiment.
The eighth embodiment of the present application relates to an interference analysis device for biological signals, and the present embodiment is a refinement of the sixth embodiment, and mainly comprises: referring to fig. 9, the waveform parameter obtaining module 1 includes an interference filtering sub-module 11 and a waveform parameter calculating sub-module 12.
The interference filtering submodule 11 is used for filtering the interference in the biological signal.
The waveform parameter calculating submodule 12 is used for calculating waveform parameters according to the biological signals after the interference is filtered.
Since the fourth embodiment corresponds to the present embodiment, the present embodiment can be implemented in cooperation with the fourth embodiment. The related technical details mentioned in the fourth embodiment are still valid in this embodiment, and the technical effects that can be achieved in the fourth embodiment can also be achieved in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the fourth embodiment.
Compared with the sixth embodiment, the embodiment provides a specific implementation manner for acquiring the waveform parameters, and meanwhile, the waveform parameters are calculated after the motion interference in the biological signals is filtered, so that the calculation complexity can be reduced. It should be noted that this embodiment can also be used as a refinement on the basis of the seventh embodiment, and the same technical effects can be achieved.
The ninth embodiment of the present application relates to an interference analysis device for biological signals, and the present embodiment is a refinement of the sixth embodiment, and mainly comprises: referring to fig. 10, the motion disturbance parameter obtaining module 2 includes a dimension reduction processing sub-module 21 and a motion disturbance parameter calculating sub-module 22.
The acceleration signal in this embodiment is a multi-dimensional acceleration signal.
The dimension reduction processing submodule 21 is configured to perform dimension reduction processing on the multi-dimensional acceleration signal and obtain a one-dimensional acceleration signal representing motion interference; wherein, the motion interference signal is a multidimensional acceleration signal.
The motion disturbance parameter calculation submodule 22 is configured to calculate a motion disturbance parameter according to the one-dimensional acceleration signal.
Since the fifth embodiment corresponds to the present embodiment, the present embodiment can be implemented in cooperation with the fifth embodiment. The related technical details mentioned in the fifth embodiment are still valid in this embodiment, and the technical effects that can be achieved in the fifth embodiment can also be achieved in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the fifth embodiment.
Compared with the sixth embodiment, the present embodiment performs the dimension reduction processing on the multidimensional acceleration signal, so that the computational complexity can be reduced. It should be noted that the present embodiment may also be a refinement on the basis of the seventh embodiment or the eighth embodiment, and the same technical effects may be achieved.
A tenth embodiment of the present application relates to a wearable device, such as an earphone, a bracelet, a head ring, etc., and referring to fig. 11, the wearable device includes a first sensor 4, a second sensor 5, a memory 6, and a processor 7.
In this embodiment, the processor 7 is connected to the first sensor 4, the second sensor 5, and the memory 6.
The first sensor 4 is used to acquire a bio-signal.
The second sensor 5 is used to acquire a motion disturbance signal.
The memory 6 is used for storing a plurality of instructions.
The processor 7 is configured to load a plurality of instructions and execute the function of the interference analysis apparatus for biological signals according to any one of the sixth to ninth embodiments.
Compared with the prior art, the embodiment provides the wearable device capable of analyzing the interference degree of the biological signals.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the present application, and that various changes in form and details may be made therein without departing from the spirit and scope of the present application in practice.
Claims (17)
- The method for analyzing the interference of the biological signals is characterized by being applied to wearable equipment, wherein the wearable equipment can acquire the biological signals and motion interference signals; the method comprises the following steps:acquiring waveform parameters according to the biological signals;acquiring a motion interference parameter according to the motion interference signal;and analyzing the waveform parameters and the motion interference parameters to obtain the interference degree of the biological signals.
- The method according to claim 1, wherein the analyzing the waveform parameter and the motion disturbance parameter to obtain the disturbance degree of the bio-signal comprises:if the waveform parameter meets a first preset condition and the motion interference parameter meets a second preset condition, judging that the interference degree of the biological signal belongs to a first interference level;if the waveform parameter does not meet the first preset condition or the motion interference parameter does not meet the second preset condition, judging that the interference degree of the biological signal is a second interference level; the first interference level is indicative of an interference strength that is lower than an interference strength of the second interference level.
- The method according to claim 2, wherein the analyzing the waveform parameter and the motion disturbance parameter to obtain the degree of disturbance of the bio-signal further comprises:if the waveform parameter does not meet the first preset condition and the motion interference parameter does not meet the second preset condition, determining that the interference degree of the biological signal is a third interference level; the second interference level is indicative of an interference strength that is lower than an interference strength of the third interference level.
- The method of claim 1, wherein the waveform parameters comprise one or any combination of the following parameters: the average value of the adjacent peak intervals and the adjacent trough intervals, the time difference of the adjacent peak intervals, the variance of the adjacent peak intervals and the adjacent trough intervals and the waveform time characteristic value.
- The method of claim 1, wherein the motion disturbance signal is an acceleration signal; the motion interference parameters comprise the sum of the absolute values of the acceleration at each moment and the sum of the absolute values of the acceleration difference values at adjacent moments.
- The method of claim 4, wherein the waveform time characteristic value RdisThe calculation formula of (2) is as follows:wherein N isallIs the number of cycles of the waveform; n is a radical ofnorThe ratio of the time length of the ascending section to the time length of the descending section in all the periods of the waveform belongs to the number of the periods in the preset range.
- The method according to claim 1, wherein the obtaining of the waveform parameters from the bio-signals comprises:filtering out interference in the biological signal;and calculating the waveform parameters according to the biological signals after the interference is filtered.
- The method of claim 5, wherein the acceleration signal is a multi-dimensional acceleration signal;the obtaining of the motion interference parameter according to the motion interference signal specifically includes:carrying out dimensionality reduction processing on the multi-dimensional acceleration signal and obtaining a one-dimensional acceleration signal representing motion interference;and calculating a motion interference parameter according to the one-dimensional acceleration signal.
- The interference analysis device of the biological signal is characterized by being applied to wearable equipment, wherein the wearable equipment can acquire the biological signal and a motion interference signal; the device comprises:the waveform parameter acquisition module is used for acquiring waveform parameters according to the biological signals;the motion interference parameter acquisition module is used for acquiring motion interference parameters according to the motion interference signals;and the interference analysis module is used for analyzing the waveform parameters and the motion interference parameters to obtain the interference degree of the biological signals.
- The apparatus of claim 9, wherein the interference analysis module comprises:the waveform parameter judgment submodule is used for judging whether the waveform parameters meet the first preset condition or not;the interference parameter judgment submodule is used for judging whether the motion interference parameter meets the second preset condition;the interference degree judging submodule is used for judging the interference degree of the biological signal;the interference degree judging submodule judges that the waveform parameter meets a first preset condition when the waveform parameter judging submodule judges that the waveform parameter meets a second preset condition, and judges that the interference degree of the biological signal is a first interference level when the interference parameter judging submodule judges that the motion interference parameter meets the second preset condition;the interference degree judging submodule judges that the interference degree of the biological signal is a second interference level when the waveform parameter judging submodule judges that the waveform parameter does not meet the first preset condition or the interference parameter judging submodule judges that the motion interference parameter does not meet the second preset condition; the first interference level is characterized by an interference strength that is weaker than the second interference level.
- The apparatus according to claim 10, wherein the interference degree judging sub-module judges the degree of interference of the bio-signal to be a third interference level when the waveform parameter judging sub-module judges that the waveform parameter does not satisfy the first preset condition and the interference parameter judging sub-module judges that the motion interference parameter does not satisfy the second preset condition; the second interference level is characterized by an interference strength that is weaker than the third interference level.
- The apparatus of claim 9, wherein the waveform parameters comprise one or any combination of the following parameters: the average value of the adjacent peak intervals and the adjacent trough intervals, the time difference of the adjacent peak intervals, the variance of the adjacent peak intervals and the adjacent trough intervals and the waveform time characteristic value.
- The apparatus of claim 9, wherein the motion disturbance signal is an acceleration signal; the motion interference parameters comprise the sum of the absolute values of the acceleration at each moment and the sum of the absolute values of the difference values of the acceleration at adjacent moments.
- The apparatus of claim 12, wherein the waveform time characteristic value RdisThe calculation formula of (2) is as follows:wherein N isallIs the number of cycles of the waveform; n is a radical ofnorThe ratio of the time length of the ascending section to the time length of the descending section in all the periods of the waveform belongs to the number of the periods in the preset range.
- The apparatus of claim 9, wherein the waveform parameter acquisition module comprises:the interference filtering submodule is used for filtering interference in the biological signals;and the waveform parameter calculation submodule is used for calculating the waveform parameters according to the biological signals after the interference is filtered.
- The apparatus of claim 13, wherein the acceleration signal is a multi-dimensional acceleration signal; the motion disturbance parameter acquisition module comprises:the dimension reduction processing submodule is used for carrying out dimension reduction processing on the multi-dimensional acceleration signal and obtaining a one-dimensional acceleration signal representing motion interference;and the motion interference parameter calculation submodule is used for calculating a motion interference parameter according to the one-dimensional acceleration signal.
- A wearable device, comprising: a first sensor, a second sensor, a memory, and a processor connected to the first sensor, the second sensor, the memory;the first sensor is used for acquiring a biological signal;the second sensor is used for acquiring a motion interference signal;the memory is used for storing a plurality of instructions;the processor is configured to load the plurality of instructions and perform the functions of the apparatus for interference analysis of bio-signals according to any one of claims 9 to 16.
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