Bio-electricity signal enhancement method, device and equipment based on phase inversion and storage medium
By building a reference channel and using the phase flip processing of the reference signal, the interference components in the bioelectric signal are eliminated, the problem of insufficient noise suppression in the prior art is solved, and the signal quality and stability are improved.
Patent Information
- Application Number
- CN202510510349.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-23
- Publication Date
- 2025-08-12
AI Technical Summary
When processing non-stationary bioelectric signals, it is difficult to effectively remove noise interference and retain useful signal characteristics, resulting in unstable signal enhancement effect, especially in the application scenarios of electromyography signals.
By building a reference channel, using signals in the reference signal that are highly correlated with the target signal but do not contain main components, the reference interference signal is constructed, and the 180-degree phase flip is processed to obtain the inverse interference component, and finally, it is linearly superimposed with the target signal to eliminate the interference component.
It significantly improves the quality and stability of bioelectric signals, enhances the target signal components, reduces pseudo-differential interference, and improves signal clarity.
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Figure CN120458500A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of signal processing technology, and in particular to a method, device, equipment and storage medium for enhancing bioelectric signals based on phase reversal. Background Art
[0002] In medical rehabilitation, electrophysiological monitoring and human-computer interaction systems, bioelectric signals are an important type of physiological parameters. Due to their low signal amplitude and susceptibility to interference, they usually need to be preprocessed and enhanced through hardware and algorithmic means. At present, common signal enhancement methods mostly rely on filters, amplifiers or blind source separation algorithms (such as ICA, PCA) to remove noise and enhance target signals. However, these methods have problems such as unstable enhancement effect and loss of target components in the case of non-ideal signal-to-noise ratio or multi-source interference. Especially in the application scenarios of non-stationary bioelectric signals such as electromyography, how to retain useful signal features while suppressing background noise to achieve the purpose of enhancing effective components has become a technical problem that needs to be solved urgently. Summary of the Invention
[0003] The embodiments of the present application provide a bioelectric signal enhancement method, apparatus, device and storage medium based on phase reversal. By constructing a reference channel and performing phase reversal processing on the reference signal, active elimination of interference components of the target channel signal is achieved, thereby improving signal quality and enhancing the target signal component.
[0004] In a first aspect, an embodiment of the present application provides a method for enhancing a bioelectric signal based on phase reversal, comprising:
[0005] respectively collecting a target signal of a target signal channel and a reference signal of a reference channel through at least two groups of electrodes;
[0006] constructing a reference interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain its main component;
[0007] Performing a 180-degree phase flip process on the reference interference signal to obtain an anti-phase interference component;
[0008] The anti-phase interference component is linearly superimposed on the target signal to obtain a target enhanced signal.
[0009] In one embodiment, constructing the interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain a main component of the target signal includes:
[0010] Decomposing the reference signal into a plurality of sub-band signals by using a filter bank;
[0011] Comparing all the sub-band signals with the target signal band by band, removing sub-bands whose correlation with the target signal is greater than a preset threshold, and retaining sub-bands whose correlation with the target signal is less than or equal to the preset threshold as reference components;
[0012] The reference interference signal is constructed based on the reference component.
[0013] In one embodiment, constructing the reference interference signal based on the reference component includes:
[0014] Based on the reference component, constructing a characteristic matrix of the interference sub-signal;
[0015] Performing eigenvalue decomposition on the feature matrix to extract independent principal component features;
[0016] Based on the principal component features, the reference interference signal is constructed.
[0017] In one embodiment, constructing a characteristic matrix of the interference sub-signal based on the reference component includes:
[0018] extracting multimodal features corresponding to the reference components of each frequency band respectively, and constructing a feature vector based on the multimodal features;
[0019] All the eigenvectors are stacked to obtain the eigenmatrix.
[0020] In one embodiment, the multimodal features include: time-frequency entropy fusion features, multi-channel interaction features, multi-scale nonlinear features, and statistical features.
[0021] In one embodiment, comparing all the sub-band signals with the target signal band by band includes:
[0022] The correlation between each of the sub-band signals and the target signal is calculated respectively, and each of the correlations is compared with a preset threshold.
[0023] In one embodiment, respectively calculating the correlation between each of the sub-band signals and the target signal includes:
[0024] The correlation between each of the sub-band signals and the target signal is calculated using a Pearson correlation coefficient or a cross-correlation function.
[0025] In a second aspect, an embodiment of the present application provides a bioelectric signal enhancement device based on phase reversal, comprising:
[0026] an acquisition module, configured to respectively acquire a target signal of a target signal channel and a reference signal of a reference channel through at least two groups of electrodes;
[0027] A construction module, configured to construct a reference interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain a main component thereof;
[0028] A processing module, configured to perform a 180-degree phase flip process on the reference interference signal to obtain an anti-phase interference component;
[0029] The superposition module is used to linearly superpose the anti-phase interference component and the target signal to obtain a target enhanced signal.
[0030] In one embodiment, the building block includes:
[0031] a decomposition unit, configured to decompose the reference signal into a plurality of sub-band signals using a filter bank;
[0032] a removing unit, configured to compare all the sub-band signals with the target signal band by band, remove the sub-bands whose correlation with the target signal is greater than a preset threshold, and retain the sub-bands whose correlation with the target signal is less than or equal to the preset threshold as reference components;
[0033] A construction unit is configured to construct the reference interference signal based on the reference component.
[0034] In one embodiment, the construction unit comprises:
[0035] A first construction subunit is configured to construct a characteristic matrix of an interference sub-signal based on the reference component;
[0036] An extraction subunit, configured to perform eigenvalue decomposition on the feature matrix to extract independent principal component features;
[0037] The second construction subunit is configured to construct the reference interference signal based on the principal component feature.
[0038] In one embodiment, the first construction subunit is specifically configured to:
[0039] The multimodal features corresponding to the reference components of each frequency band are extracted respectively, and a feature vector is constructed based on the multimodal features; and all the feature vectors are stacked to obtain the feature matrix.
[0040] In one embodiment, the multimodal features include: time-frequency entropy fusion features, multi-channel interaction features, multi-scale nonlinear features, and statistical features.
[0041] In one embodiment, the removal unit is specifically configured to:
[0042] The correlation between each of the sub-band signals and the target signal is calculated respectively, and each of the correlations is compared with a preset threshold.
[0043] In one embodiment, the removal unit is specifically configured to use a Pearson correlation coefficient or a cross-correlation function to respectively calculate the correlation between each of the sub-band signals and the target signal.
[0044] In a third aspect, an embodiment of the present application provides an electronic device, including:
[0045] Memory and processing modules;
[0046] The memory is used to store computer programs;
[0047] The processing module is used to execute the computer program and implement the steps of the phase-flip-based bioelectric signal enhancement method of the first aspect when executing the computer program.
[0048] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program;
[0049] When the computer program is executed by one or more processing modules, the one or more processing modules are caused to perform the steps of the bioelectric signal enhancement method based on phase reversal in the first aspect as described above.
[0050] The embodiments of the present application provide a method, apparatus, device and storage medium for enhancing bioelectric signals based on phase reversal, wherein the method for enhancing bioelectric signals based on phase reversal includes: respectively collecting a target signal of a target signal channel and a reference signal of a reference channel through at least two groups of electrodes; constructing a reference interference signal using a signal in the reference signal that is highly correlated with the target signal but does not contain its main component; performing a 180-degree phase reversal on the reference interference signal to obtain an anti-phase interference component; linearly superimposing the anti-phase interference component with the target signal to obtain a target enhanced signal. By constructing a reference channel and constructing a reference interference signal using the correlation between the reference signal and the target signal, the reference interference signal is phase-reversed and then superimposed with the target signal to achieve active elimination of the interference component, thereby improving signal quality and enhancing the target signal component. BRIEF DESCRIPTION OF THE DRAWINGS
[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0052] Figure 1 A schematic flow chart of a bioelectric signal enhancement method based on phase reversal provided in an embodiment of the present application;
[0053] Figure 2 This is provided in one embodiment of the present application Figure 1 Schematic diagram of the implementation process of S102;
[0054] Figure 3 A schematic structural diagram of a bioelectric signal enhancement device based on phase reversal provided in an embodiment of the present application;
[0055] Figure 4 A schematic block diagram of a bioelectric signal enhancement device based on phase reversal provided in an embodiment of the present application. DETAILED DESCRIPTION
[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.
[0057] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined, or partially merged, so the actual execution order may vary depending on the actual situation.
[0058] It should also be understood that the terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit the present application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.
[0059] It should be further understood that the term "and / or" used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0060] The technical solution provided in this application will be described in detail below with reference to the accompanying drawings.
[0061] See also Figure 1 , Figure 1 The flowchart of the bioelectric signal enhancement method based on phase reversal provided in the embodiment of the present application is shown. The bioelectric signal enhancement method based on phase reversal provided in the embodiment of the present application is implemented by a bioelectric signal enhancement device based on phase reversal. The embodiment of the present application does not impose any restrictions on the bioelectric signal enhancement device based on phase reversal. Specifically, Figure 1As shown, the bioelectric signal enhancement method based on phase reversal includes steps S101 to S104. The details are as follows:
[0062] S101: respectively collecting a target signal of a target signal channel and a reference signal of a reference channel through at least two groups of electrodes.
[0063] The electrode group of the target signal channel can be attached to the target muscle, brain area or heart, and is used to collect the original signal containing the bioelectric signal, which is called the target signal. The electrode group of the reference channel is placed in a location that is unrelated to the target but has similar environmental noise, such as inactive muscle tissue near the target muscle, the scalp area around the brain area, or the chest area near the heart, etc., to collect background noise or interference signals as reference signals. By capturing signals related to specific physiological activities (such as muscle contraction and brain excitement), it is used to analyze and identify physiological activities. By collecting the interference signal of the reference channel, it is used to construct a reference interference signal, so as to enhance the target signal by processing the reference interference signal based on the correlation between the reference interference signal and the target signal.
[0064] S102: Construct a reference interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain its main components.
[0065] By filtering and decomposing the reference signal, a sub-band signal is obtained. After decomposing the complex reference signal into fine-grained frequency components, a correlation analysis is performed with the target signal to extract the non-target related sub-band, namely the reference component, and further construct a reference interference signal based on the reference component.
[0066] For example, Figure 2 As shown, Figure 2 This is provided in one embodiment of the present application Figure 1 Schematic diagram of the implementation process of S102. Figure 2 It can be seen that, in this embodiment, S102 includes:
[0067] S1021: Decompose the reference signal into multiple sub-band signals using a filter bank.
[0068] Assume that the reference signal is R(t), input the reference signal into the preset filter bank and decompose it into N frequency band signals {R1(t), R2(t), ..., R N (t)}, where each frequency band covers a specific frequency range. Specifically, the filter bank can select wavelet transform, bandpass filter bank, or short-time Fourier transform, etc. The filter bank decomposes the complex reference signal into fine-grained frequency components, facilitating the analysis of the relationship between the reference signal and the target signal.
[0069] S1022: Compare all sub-band signals with the target signal band by band, remove sub-bands whose correlation with the target signal is greater than a preset threshold, and retain sub-bands whose correlation with the target signal is less than or equal to the preset threshold as reference components.
[0070] Assuming the target signal is S(t), by calculating the target signal S(t) and each sub-band R i (t), and set the correlation threshold to perform frequency band-by-band comparison to retain the reference component.
[0071] Specifically, all sub-band signals are compared with the target signal band by band, including: calculating the correlation between each sub-band signal and the target signal, and comparing each correlation with a preset threshold.
[0072] Calculating the correlation between each sub-band signal and the target signal respectively includes: using a Pearson correlation coefficient or a cross-correlation function to calculate the correlation between each sub-band signal and the target signal respectively.
[0073] By removing the target component, a key step in preserving interference information, and excluding frequency bands strongly correlated with the target signal, the remaining reference component is used to construct the interference model. This prevents the target signal itself from being mistakenly used for interference modeling (causing false suppression) and ensures that subsequent anti-phase interference only acts on the non-target portion, improving the purity and accuracy of signal enhancement.
[0074] S1023: Construct a reference interference signal based on the reference component.
[0075] Exemplarily, constructing a reference interference signal based on a reference component includes: constructing a feature matrix of the interference sub-signal based on the reference component; performing eigenvalue decomposition on the feature matrix to extract independent principal component features; and constructing a reference interference signal based on the principal component features.
[0076] Based on the reference components, a feature matrix of the interference sub-signal is constructed, including: extracting multimodal features of the reference components corresponding to each frequency band, constructing feature vectors based on the multimodal features; and stacking all feature vectors to obtain a feature matrix.
[0077] Multimodal features include: time-frequency entropy fusion features (such as spectral entropy, energy entropy, etc., which can measure the distribution of energy or spectrum, and are used to detect frequency drift noise and irregular interference), multi-channel interaction features (such as inter-channel correlation, covariance matrix features, etc., which can identify the synergistic relationship between channels, and are used to identify the coupling relationship between spatial interference sources (such as power frequency interference, electromagnetic crosstalk)), multi-scale nonlinear features (such as approximate entropy, sample entropy or fractal dimension, etc., which can measure the irregularity and complexity of the sequence, and are used to evaluate signal complexity and distinguish chaotic noise from ordered physiological signals) and statistical features (such as mean, standard deviation, skewness or peak, etc., which provide basic distribution state features, and are used to capture the overall change characteristics of the signal and reflect abnormal jumps, baseline drift or transient noise).
[0078] By extracting multimodal features from each reference component, constructing a feature vector, and then stacking the feature vectors to build a feature matrix, the feature matrix is subjected to eigenvalue decomposition to extract the most significant principal components of the interference features. This principal component is then linearly reconstructed to produce a comprehensive interference signal, which serves as the reference interference signal. Because the constructed reference interference signal is a combination of real interference signals from multiple frequency bands, it is highly representative and has strong noise immunity. It can achieve phase cancellation (i.e., interference suppression) with similar interference signals in the target signal, thereby enhancing the target signal.
[0079] S103: Perform 180-degree phase flip processing on the reference interference signal to obtain an anti-phase interference component.
[0080] The phase of the reference interference signal D(t) is flipped 180 degrees to obtain an anti-phase interference signal, which can be phase-cancelled with the same interference component in the target signal (interference suppression).
[0081] S104: Linearly superimpose the anti-phase interference component and the target signal to obtain a target enhanced signal.
[0082] The target signal is linearly superimposed with the anti-phase interference signal. If the target signal contains interference components similar to the reference interference signal, the interference components are approximately canceled out after addition, and the target signal is enhanced. This can significantly improve the clarity and stability of the target signal and reduce artifacts.
[0083] Through the above analysis, it can be seen that the phase-flip-based bioelectric signal enhancement method provided in the embodiment of the present application includes: respectively collecting the target signal of the target signal channel and the reference signal of the reference channel through at least two groups of electrodes; constructing a reference interference signal using the signal in the reference signal that is highly correlated with the target signal but does not contain its main components; performing a 180-degree phase flip processing on the reference interference signal to obtain an anti-phase interference component; linearly superimposing the anti-phase interference component with the target signal to obtain a target enhanced signal. By constructing a reference channel and constructing a reference interference signal using the correlation between the reference signal and the target signal, the reference interference signal is phase-flipped and then superimposed with the target signal to achieve active elimination of the interference component, thereby improving signal quality and enhancing the target signal component.
[0084] See also Figure 3 As shown, Figure 3 This is a schematic diagram of the structure of the bioelectric signal enhancement device based on phase reversal provided in the embodiment of the present application. Figure 3 It can be seen that the bioelectric signal enhancement device 300 based on phase reversal provided in the embodiment of the present application includes:
[0085] An acquisition module 310 is configured to acquire a target signal of a target signal channel and a reference signal of a reference channel respectively through at least two groups of electrodes;
[0086] A construction module 320 is configured to construct a reference interference signal using a signal in the reference signal that is highly correlated with the target signal but does not contain a main component of the target signal;
[0087] The processing module 330 is configured to perform a 180-degree phase flip process on the reference interference signal to obtain an anti-phase interference component;
[0088] The superposition module 340 is configured to linearly superpose the anti-phase interference component and the target signal to obtain a target enhanced signal.
[0089] In one embodiment, the building block 320 includes:
[0090] a decomposition unit, configured to decompose the reference signal into a plurality of sub-band signals using a filter bank;
[0091] a removing unit, configured to compare all the sub-band signals with the target signal band by band, remove the sub-bands whose correlation with the target signal is greater than a preset threshold, and retain the sub-bands whose correlation with the target signal is less than or equal to the preset threshold as reference components;
[0092] A construction unit is configured to construct the reference interference signal based on the reference component.
[0093] In one embodiment, the construction unit comprises:
[0094] A first construction subunit is configured to construct a characteristic matrix of an interference sub-signal based on the reference component;
[0095] An extraction subunit, configured to perform eigenvalue decomposition on the feature matrix to extract independent principal component features;
[0096] The second construction subunit is configured to construct the reference interference signal based on the principal component feature.
[0097] In one embodiment, the first construction subunit is specifically configured to:
[0098] The multimodal features corresponding to the reference components of each frequency band are extracted respectively, and a feature vector is constructed based on the multimodal features; and all the feature vectors are stacked to obtain the feature matrix.
[0099] In one embodiment, the multimodal features include: time-frequency entropy fusion features, multi-channel interaction features, multi-scale nonlinear features, and statistical features.
[0100] In one embodiment, the removal unit is specifically configured to:
[0101] The correlation between each of the sub-band signals and the target signal is calculated respectively, and each of the correlations is compared with a preset threshold.
[0102] In one embodiment, the removal unit is specifically configured to use a Pearson correlation coefficient or a cross-correlation function to respectively calculate the correlation between each of the sub-band signals and the target signal.
[0103] It should be noted that the specific implementation process of the above modules or units can refer to the specific implementation process of each step in the previous method embodiment, which will not be repeated here.
[0104] See also Figure 4 As shown, Figure 4 A schematic block diagram of a bioelectric signal enhancement device based on phase reversal provided in an embodiment of the present application.
[0105] Exemplarily, the phase-flip-based bioelectric signal enhancement device 400 includes a processing module 401 and a memory 402 .
[0106] Exemplarily, the processing module 401 and the memory 402 are connected via a bus 403 , which is, for example, an I 2 C (Inter-integrated Circuit) bus.
[0107] Specifically, the processing module 401 may be a micro-controller unit (MCU), a central processing unit (CPU), or a digital signal processing module (DSP).
[0108] Specifically, the memory 402 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.
[0109] The processing module 401 is used to run the computer program stored in the memory 402 and implement the steps of the above-mentioned bioelectric signal enhancement method based on phase reversal when executing the computer program.
[0110] Exemplarily, the processing module 401 is configured to run a computer program stored in the memory 402 and implement the following steps when executing the computer program:
[0111] respectively collecting a target signal of a target signal channel and a reference signal of a reference channel through at least two groups of electrodes;
[0112] constructing a reference interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain its main component;
[0113] Performing a 180-degree phase flip process on the reference interference signal to obtain an anti-phase interference component;
[0114] The anti-phase interference component is linearly superimposed on the target signal to obtain a target enhanced signal.
[0115] In one embodiment, constructing the interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain a main component of the target signal includes:
[0116] Decomposing the reference signal into a plurality of sub-band signals by using a filter bank;
[0117] Comparing all the sub-band signals with the target signal band by band, removing sub-bands whose correlation with the target signal is greater than a preset threshold, and retaining sub-bands whose correlation with the target signal is less than or equal to the preset threshold as reference components;
[0118] The reference interference signal is constructed based on the reference component.
[0119] In one embodiment, constructing the reference interference signal based on the reference component includes:
[0120] Based on the reference component, constructing a characteristic matrix of the interference sub-signal;
[0121] Performing eigenvalue decomposition on the feature matrix to extract independent principal component features;
[0122] Based on the principal component features, the reference interference signal is constructed.
[0123] In one embodiment, constructing a characteristic matrix of the interference sub-signal based on the reference component includes:
[0124] extracting multimodal features corresponding to the reference components of each frequency band respectively, and constructing a feature vector based on the multimodal features;
[0125] All the eigenvectors are stacked to obtain the eigenmatrix.
[0126] In one embodiment, the multimodal features include: time-frequency entropy fusion features, multi-channel interaction features, multi-scale nonlinear features, and statistical features.
[0127] In one embodiment, comparing all the sub-band signals with the target signal band by band includes:
[0128] The correlation between each of the sub-band signals and the target signal is calculated respectively, and each of the correlations is compared with a preset threshold.
[0129] In one embodiment, respectively calculating the correlation between each of the sub-band signals and the target signal includes:
[0130] The correlation between each of the sub-band signals and the target signal is calculated using a Pearson correlation coefficient or a cross-correlation function.
[0131] The specific principles and implementation methods of the phase-flip-based bioelectric signal enhancement device provided in the embodiments of the present application are similar to those of the phase-flip-based bioelectric signal enhancement method in the aforementioned embodiments, and will not be repeated here.
[0132] The present application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processing module, the processing module implements the following steps:
[0133] respectively collecting a target signal of a target signal channel and a reference signal of a reference channel through at least two groups of electrodes;
[0134] constructing a reference interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain its main component;
[0135] Performing a 180-degree phase flip process on the reference interference signal to obtain an anti-phase interference component;
[0136] The anti-phase interference component is linearly superimposed on the target signal to obtain a target enhanced signal.
[0137] In one embodiment, constructing the interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain a main component of the target signal includes:
[0138] Decomposing the reference signal into a plurality of sub-band signals by using a filter bank;
[0139] Comparing all the sub-band signals with the target signal band by band, removing sub-bands whose correlation with the target signal is greater than a preset threshold, and retaining sub-bands whose correlation with the target signal is less than or equal to the preset threshold as reference components;
[0140] The reference interference signal is constructed based on the reference component.
[0141] In one embodiment, constructing the reference interference signal based on the reference component includes:
[0142] Based on the reference component, constructing a characteristic matrix of the interference sub-signal;
[0143] Performing eigenvalue decomposition on the feature matrix to extract independent principal component features;
[0144] Based on the principal component features, the reference interference signal is constructed.
[0145] In one embodiment, constructing a characteristic matrix of the interference sub-signal based on the reference component includes:
[0146] extracting multimodal features corresponding to the reference components of each frequency band respectively, and constructing a feature vector based on the multimodal features;
[0147] All the eigenvectors are stacked to obtain the eigenmatrix.
[0148] In one embodiment, the multimodal features include: time-frequency entropy fusion features, multi-channel interaction features, multi-scale nonlinear features, and statistical features.
[0149] In one embodiment, comparing all the sub-band signals with the target signal band by band includes:
[0150] The correlation between each of the sub-band signals and the target signal is calculated respectively, and each of the correlations is compared with a preset threshold.
[0151] In one embodiment, respectively calculating the correlation between each of the sub-band signals and the target signal includes:
[0152] The correlation between each of the sub-band signals and the target signal is calculated using a Pearson correlation coefficient or a cross-correlation function.
[0153] The computer-readable storage medium may be an internal storage unit of the phase-flip bioelectric signal enhancement device in the aforementioned embodiment, such as a hard disk or memory of the phase-flip bioelectric signal enhancement device. The computer-readable storage medium may also be an external storage device of the phase-flip bioelectric signal enhancement device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the phase-flip bioelectric signal enhancement device.
[0154] It should be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application.
[0155] It will also be understood that the term "and / or" as used in this application and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
[0156] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present application, and such modifications or substitutions should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.
Claims
1. A bioelectric signal enhancement method based on phase reversal, characterized in that: include: respectively collecting a target signal of a target signal channel and a reference signal of a reference channel through at least two groups of electrodes; constructing a reference interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain its main component; Performing a 180-degree phase flip process on the reference interference signal to obtain an anti-phase interference component; The anti-phase interference component is linearly superimposed on the target signal to obtain a target enhanced signal.
2. The bioelectric signal enhancement method based on phase reversal according to claim 1, characterized in that: The constructing the interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain a main component of the target signal includes: Decomposing the reference signal into a plurality of sub-band signals by using a filter bank; Comparing all the sub-band signals with the target signal band by band, removing sub-bands whose correlation with the target signal is greater than a preset threshold, and retaining sub-bands whose correlation with the target signal is less than or equal to the preset threshold as reference components; The reference interference signal is constructed based on the reference component.
3. The bioelectric signal enhancement method based on phase reversal according to claim 2, characterized in that: The constructing the reference interference signal based on the reference component includes: Based on the reference component, constructing a characteristic matrix of the interference sub-signal; Performing eigenvalue decomposition on the feature matrix to extract independent principal component features; Based on the principal component features, the reference interference signal is constructed.
4. The bioelectric signal enhancement method based on phase reversal according to claim 3, characterized in that: The constructing a characteristic matrix of the interference sub-signal based on the reference component includes: extracting multimodal features corresponding to the reference components of each frequency band respectively, and constructing a feature vector based on the multimodal features; All the eigenvectors are stacked to obtain the eigenmatrix.
5. The bioelectric signal enhancement method based on phase reversal according to claim 4, characterized in that: The multimodal features include: time-frequency entropy fusion features, multi-channel interaction features, multi-scale nonlinear features and statistical features.
6. The bioelectric signal enhancement method based on phase reversal according to claim 2, characterized in that: The comparing all the sub-band signals with the target signal band by band includes: The correlation between each of the sub-band signals and the target signal is calculated respectively, and each of the correlations is compared with a preset threshold.
7. The bioelectric signal enhancement method based on phase reversal according to claim 4, characterized in that: The respectively calculating the correlation between each of the sub-band signals and the target signal includes: The correlation between each of the sub-band signals and the target signal is calculated using a Pearson correlation coefficient or a cross-correlation function.
8. A bioelectric signal enhancement device based on phase reversal, characterized in that: include: an acquisition module, configured to respectively acquire a target signal of a target signal channel and a reference signal of a reference channel through at least two groups of electrodes; A construction module, configured to construct a reference interference signal by using a signal in the reference signal that is highly correlated with the target signal but does not contain a main component thereof; A processing module, configured to perform a 180-degree phase flip process on the reference interference signal to obtain an anti-phase interference component; The superposition module is used to linearly superpose the anti-phase interference component and the target signal to obtain a target enhanced signal.
9. An electronic device, characterized in that: include: Memory and processing modules; The memory is used to store computer programs; The processing module is used to execute the computer program and implement the steps of the phase-flip-based bioelectric signal enhancement method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program; When the computer program is executed by one or more processing modules, the one or more processing modules are caused to perform the steps of the bioelectric signal enhancement method based on phase reversal as described in any one of claims 1 to 7.