Differential-based multi-channel bio-electricity signal control method and device and storage medium

Abstract

The invention relates to the technical field of signal processing, and provides a multi-channel bio-electricity signal control method based on differential signals, which comprises the following steps: acquiring original electric signals acquired by a plurality of bio-electricity acquisition channels; carrying out noise suppression and signal enhancement on the original electric signal of each channel by adopting a differential amplification mode, and outputting a first differential signal; based on the reference channel signal, performing time alignment on each channel differential signal by using a synchronization control rule to obtain a second differential signal; performing dynamic gain adjustment and phase compensation on each second differential signal according to a preset characteristic parameter to obtain a third differential signal; and performing multi-modal fusion on each third differential signal to obtain a target signal. By performing differential amplification, synchronous alignment, dynamic regulation and control and multi-mode fusion on original electric signals, the common problems of weak signals, high noise, asynchronous time sequence and characteristic distortion in multi-channel bio-electricity signal acquisition are effectively solved.

Description

Technical Field

[0001] The present invention relates to the field of signal processing technology, and in particular to a differential-based multi-channel bioelectric signal control method, device and storage medium. Background Art

[0002] With the rapid development of bioelectric technology, the acquisition and processing of bioelectric signals such as electrocardiograms (ECGs), electroencephalograms (EEGs), and electromyograms (EMGs) have found widespread application in healthcare monitoring, neurological rehabilitation, and human function assessment. Traditional bioelectric signal acquisition systems often use single-ended inputs, which are significantly affected by noise and electromagnetic interference, making it difficult to obtain stable signals with a high signal-to-noise ratio.

[0003] Furthermore, in multi-channel systems, cross-interference between multiple acquisition channels is prone to occur, making it difficult to ensure signal synchronization and independence, resulting in reduced accuracy in signal analysis. Especially in dynamic environments or complex clinical application scenarios, achieving efficient, stable, and synchronized acquisition of multi-channel signals is a technical challenge that current biopotential acquisition systems urgently need to address. Summary of the Invention

[0004] The embodiments of the present application provide a differential-based multi-channel bioelectric signal control method, device and storage medium, which aim to improve the anti-interference ability, synchronization and controllability of multi-channel bioelectric signal acquisition, thereby improving the signal quality.

[0005] In a first aspect, an embodiment of the present application provides a differential-based multi-channel bioelectric signal control method, comprising:

[0006] Acquire original electrical signals collected by multiple bioelectrical acquisition channels;

[0007] Performing noise suppression and signal enhancement on the original electrical signal of each channel by differential amplification, and outputting a first differential signal;

[0008] Based on the reference channel signal, the differential signals of each channel are time-aligned using a synchronization control rule to obtain a second differential signal;

[0009] performing dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal;

[0010] Multimodal fusion is performed on each of the third differential signals to obtain a target signal.

[0011] In one embodiment, the step of acquiring raw electrical signals collected by multiple bioelectrical collection channels includes:

[0012] Multiple electrode pairs are attached to the surface of the target tissue, each pair of electrodes corresponding to a collection channel for measuring local biopotential difference;

[0013] The voltage difference between each pair of electrodes is read to obtain the original electrical signal.

[0014] In one embodiment, the noise suppression and signal enhancement are performed on the original electrical signal of each channel using a differential amplification method to output a first differential signal, including:

[0015] The original electrical signal of each channel is input into a differential amplifier after passing through an isolation buffer, and the common mode voltage is detected in real time;

[0016] Based on the common-mode voltage, feedback control is used to suppress common-mode interference of the signal in the differential amplifier, and pattern recognition and elimination are performed on nonlinear interference sources to output the first differential signal.

[0017] In one embodiment, the performing common-mode interference suppression on the signal in the differential amplifier using feedback control based on the common-mode voltage includes:

[0018] If the common-mode voltage is higher than or equal to a preset threshold, a virtual ground reference circuit or a negative feedback loop is started to generate an equal-amplitude signal opposite to the common-mode voltage to superimpose and cancel the common-mode interference signal;

[0019] If the common-mode voltage frequency is lower than a preset frequency, a notch filter is used to weaken the common-mode interference signal.

[0020] In one embodiment, the nonlinear interference sources include: low-frequency electromyographic fluctuations, transient clicks, and wire shaking; and the performing pattern recognition and elimination of the nonlinear interference sources and outputting the first differential signal includes:

[0021] A nonlinear interference term estimation model is constructed by adopting an autoregressive residual method, pattern recognition is performed on the nonlinear interference source based on the nonlinear interference term estimation model, and the nonlinear interference source is eliminated, and the first differential signal is output.

[0022] In one embodiment, the step of performing time alignment on the differential signals of each channel using a synchronization control rule based on the reference channel signal to obtain the second differential signal includes:

[0023] A unified sampling clock is used to digitally sample the differential signals of each channel and the peak occurrence time of each channel is recorded separately;

[0024] The peak occurrence time is aligned with the peak occurrence time of the reference channel signal to obtain the second differential signal.

[0025] In one embodiment, the preset characteristic parameters include an amplitude threshold, a frequency range, and a phase difference; and the step of dynamically adjusting gain and compensating phase of each of the second differential signals according to the preset characteristic parameters to obtain a third differential signal includes:

[0026] For any second differential signal, perform instantaneous amplitude evaluation on the second differential signal and calculate the corresponding amplitude;

[0027] comparing the amplitude with the amplitude threshold to determine a gain correction factor;

[0028] performing gain correction on the second differential signal based on the gain correction factor;

[0029] performing band-pass filtering on the second differential signal after gain correction so as to keep the signal within the frequency range;

[0030] Extracting the phase of the first main frequency component of the second differential signal, and calculating the phase of the second main frequency component of the other second differential signals;

[0031] The phase differences between the first main frequency component and each of the second main frequency components are calculated respectively. If any of the phase differences exceeds a preset threshold, the second differential signal is phase compensated to obtain the third differential signal.

[0032] In a second aspect, an embodiment of the present application provides a differential-based multi-channel bioelectric signal control device, comprising:

[0033] An acquisition module is used to acquire the original electrical signals collected by multiple bioelectrical acquisition channels;

[0034] an enhancement module, configured to perform noise suppression and signal enhancement on the original electrical signal of each channel by using a differential amplification method, and output a first differential signal;

[0035] an alignment module, configured to perform time alignment on the differential signals of each channel using a synchronization control rule based on a reference channel signal to obtain a second differential signal;

[0036] an adjustment and compensation module, configured to perform dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal;

[0037] The fusion module is used to perform multimodal fusion on each of the third differential signals to obtain a target signal.

[0038] In one embodiment, the acquisition module includes:

[0039] A measuring unit is used to set a plurality of electrode pairs attached to the target tissue surface, each pair of electrodes corresponding to a collection channel, for measuring the local biopotential difference;

[0040] The reading unit is used to read the voltage difference between each pair of electrodes to obtain the original electrical signal.

[0041] In one embodiment, the enhancement module includes:

[0042] a detection unit, configured to input the original electrical signal of each channel into a differential amplifier through an isolation buffer, and detect the common-mode voltage in real time;

[0043] The suppression unit is configured to suppress common-mode interference of the signal in the differential amplifier using feedback control based on the common-mode voltage, perform pattern recognition and eliminate nonlinear interference sources, and output the first differential signal.

[0044] In one embodiment, the suppression unit includes:

[0045] A generating subunit, configured to activate a virtual ground reference circuit or a negative feedback loop if the common-mode voltage is higher than or equal to a preset threshold value, and generate a signal of equal amplitude opposite to the common-mode voltage to perform superposition and cancellation of the common-mode interference signal;

[0046] The weakening subunit is used to use a notch filter to weaken the common-mode interference signal if the common-mode voltage frequency is lower than a preset frequency.

[0047] In one embodiment, the nonlinear interference sources include: low-frequency electromyographic fluctuations, transient clicks, and wire shaking; the suppression unit is further specifically configured to:

[0048] A nonlinear interference term estimation model is constructed by adopting an autoregressive residual method, pattern recognition is performed on the nonlinear interference source based on the nonlinear interference term estimation model, and the nonlinear interference source is eliminated, and the first differential signal is output.

[0049] In one embodiment, the alignment module includes:

[0050] A recording unit, configured to digitally sample the differential signals of each channel using a unified sampling clock and record the peak occurrence time of each channel;

[0051] An alignment unit is configured to align the peak occurrence time with the peak occurrence time of the reference channel signal to obtain the second differential signal.

[0052] In one embodiment, the preset characteristic parameters include an amplitude threshold, a frequency range, and a phase difference; and the adjustment and compensation module includes:

[0053] an evaluation unit, configured to perform instantaneous amplitude evaluation on any second differential signal and calculate the corresponding amplitude;

[0054] a comparing unit, configured to compare the amplitude with the amplitude threshold to determine a gain correction factor;

[0055] a correction unit, configured to perform gain correction on the second differential signal based on the gain correction factor;

[0056] a filtering unit, configured to perform band-pass filtering on the second differential signal after gain correction so as to keep the signal within the frequency range;

[0057] a calculation unit, configured to extract the phase of the first main frequency component of the second differential signal and calculate the phase of the second main frequency component of the other second differential signals;

[0058] The phase compensation unit is used to respectively calculate the phase difference between the first main frequency component phase and the second main frequency component phase, and if the phase difference exceeds a preset threshold, perform phase compensation on the second differential signal to obtain the third differential signal.

[0059] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0060] Memory and processing modules;

[0061] The memory is used to store computer programs;

[0062] The processing module is used to execute the computer program and implement the steps of the differential-based multi-channel bioelectric signal control method of the first aspect when executing the computer program.

[0063] 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;

[0064] When the computer program is executed by one or more processing modules, the one or more processing modules execute the steps of the differential-based multi-channel bioelectric signal control method of the first aspect as described above.

[0065] The embodiments of the present application provide a differential-based multi-channel bioelectric signal control method, device, and storage medium, wherein the differential-based multi-channel bioelectric signal control method includes: acquiring original electrical signals collected by multiple bioelectric acquisition channels; performing noise suppression and signal enhancement on the original electrical signals of each channel using differential amplification, and outputting a first differential signal; based on a reference channel signal, using a synchronous control rule to time-align the differential signals of each channel to obtain a second differential signal; performing dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal; and performing multimodal fusion on each of the third differential signals to obtain a target signal. By differentially amplifying, synchronously aligning, dynamically regulating, and multimodally fusion the original electrical signals, the common problems of weak signal, high noise, asynchronous timing, and characteristic distortion in multi-channel bioelectric signal acquisition are effectively solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] 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.

[0067] Figure 1 A flow chart of a differential-based multi-channel bioelectric signal control method provided in an embodiment of the present application;

[0068] Figure 2 A schematic structural diagram of a differential-based multi-channel bioelectric signal control device provided in an embodiment of the present application;

[0069] Figure 3 A schematic block diagram of a differential-based multi-channel bioelectric signal control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0070] 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.

[0071] 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.

[0072] 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.

[0073] 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.

[0074] The technical solution provided in this application will be described in detail below with reference to the accompanying drawings.

[0075] See also Figure 1 , Figure 1 The flowchart of the differential-based multi-channel bioelectric signal control method provided in the embodiment of the present application is shown in FIG. The differential-based multi-channel bioelectric signal control method provided in the embodiment of the present application is implemented by a differential-based multi-channel bioelectric signal control device. The embodiment of the present application does not impose any limitation on the differential-based multi-channel bioelectric signal control device. Specifically, Figure 1 As shown, the differential-based multi-channel bioelectric signal control method includes steps S101 to S105. The details are as follows:

[0076] S101: Acquire original electrical signals collected by multiple bioelectrical collection channels.

[0077] In one embodiment, obtaining the original electrical signals collected by multiple bioelectrical collection channels includes: setting multiple electrode pairs attached to the surface of the target tissue, each pair of electrodes corresponding to a collection channel for measuring the local biopotential difference; reading the voltage difference between each pair of electrodes to obtain the original electrical signal.

[0078] An electrode pair consists of two electrodes, each used to collect the potential difference of the corresponding target tissue. Each electrode pair forms a differential acquisition structure, a front end that completes the sampling channel. By symmetrically or evenly attaching the electrode pairs to the surface of the target tissue, they are used to measure local biopotential differences.

[0079] S102: noise suppression and signal enhancement are performed on the original electrical signal of each channel using a differential amplification method, and a first differential signal is output.

[0080] In one embodiment, the original electrical signal of each channel is subjected to differential amplification to perform noise suppression and signal enhancement, and a first differential signal is output, including: inputting the original electrical signal of each channel into a differential amplifier after passing through an isolation buffer, and detecting the common-mode voltage in real time; based on the common-mode voltage, using feedback control to suppress common-mode interference of the signal in the differential amplifier, and performing pattern recognition and elimination on nonlinear interference sources, and outputting the first differential signal.

[0081] Passing the original electrical signal through an isolation buffer allows for electrical isolation and input impedance matching, preventing overloading of the front-end acquisition circuit and signal distortion, thereby improving signal fidelity. In this application, isolation buffers include but are not limited to optoelectronic isolation buffers, magnetically coupled isolation buffers, and op amp isolation buffers.

[0082] The differential amplifier extracts the signal difference between the electrode pairs and amplifies the signal difference to obtain an enhanced effective signal. In this application, while the original electrical signal after passing through the isolation buffer is input into the differential amplifier, the common-mode voltage is detected in real time to provide a basic signal for feedback common-mode interference suppression.

[0083] In one embodiment, based on the common-mode voltage, feedback control is used to suppress common-mode interference of the signal in the differential amplifier, including: if the common-mode voltage is higher than or equal to a preset threshold, starting a virtual ground reference circuit or a negative feedback loop to generate an equal-amplitude signal opposite to the common-mode voltage to superimpose and cancel the common-mode interference signal; if the common-mode voltage frequency is less than a preset frequency, using a notch filter to weaken the common-mode interference signal.

[0084] If the common-mode voltage is higher than or equal to the preset threshold, it is considered that strong common-mode noise exists, and a virtual ground reference circuit or a negative feedback loop is started to suppress the common-mode interference or achieve common-mode interference cancellation.

[0085] Specifically, by constructing a midpoint voltage drive and dynamically adjusting the virtual ground reference point, common-mode interference is reduced; or by generating a signal with the same amplitude and opposite phase to the common-mode voltage and superimposing the signal on the input end, active common-mode cancellation is achieved.

[0086] If the common-mode voltage is less than a preset threshold, frequency domain analysis is performed. During frequency domain analysis, if the common-mode voltage frequency is determined to be less than a preset frequency, a notch filter is used for filtering and suppression. Exemplarily, the notch filter includes a digital notch filter or an adaptive notch filter. By introducing a virtual ground or reverse-phase signal injection, compared to traditional passive filters, this filter provides real-time, active suppression capabilities. Furthermore, frequency domain analysis and notch strategies are employed to address both low-frequency and high-amplitude common-mode noise.

[0087] In one embodiment, the nonlinear interference sources include: low-frequency electromyographic fluctuations, transient clicks, and wire shaking; the nonlinear interference sources are pattern recognized and eliminated, and the first differential signal is output, including: using an autoregressive residual method to construct a nonlinear interference term estimation model, pattern recognized and eliminated based on the nonlinear interference term estimation model, and the first differential signal is output.

[0088] Low-frequency electromyographic fluctuations refer to low-frequency drifts caused by changes in respiratory rhythm or posture; transient electric clicks refer to transient events such as the user touching the target tissue, and wire shaking refers to mechanical disturbances transmitted to the electrodes or connecting wires. The above-mentioned nonlinear interference sources may cause varying degrees of interference to the original electrical signals collected by the electrodes. By constructing a nonlinear interference term estimation model (autoregressive residual model), the nonlinear interference sources are pattern-recognized and eliminated. For example, the autoregressive residual model can predict the signal trend, which is expressed as: in, Represents the signal value predicted by the autoregressive residual model, x(t) represents the original signal value at the current time t; x(ti) represents the historical signal value of the previous i time steps; a i Represents the coefficient of the autoregressive residual model, reflecting the degree of influence of historical values on the current predicted value; P represents the order of the autoregressive model, that is, how many past signal values are used to make the current prediction. After the autoregressive residual model predicts the signal value, the residual is calculated and expressed as: Among them, ε(t) represents the difference between the actual observation value and the predicted value. If this value is greater than a certain value, it means that the current signal change exceeds the model prediction range, which means that there is a nonlinear interference term.

[0089] After the nonlinear interference term is identified, the interference term is replaced by the signal mean or weighted average in the front and rear windows, and the first differential signal is output.

[0090] S103: Based on the reference channel signal, time-align the differential signals of each channel using a synchronization control rule to obtain a second differential signal.

[0091] In one embodiment, based on the reference channel signal, the differential signals of each channel are time-aligned using a synchronization control rule to obtain a second differential signal, including: using a unified sampling clock to digitally sample the differential signals of each channel, and recording the peak occurrence time of each channel respectively; aligning the peak occurrence time with the peak occurrence time of the reference channel signal to obtain the second differential signal.

[0092] Assume that the reference channel is channel 0, and its peak time is Time-shift other channels (e.g. channel i) so that their peak times coincide with Alignment, that is, the differential signal Di (t)Convert to D i (t+Δt i ),in: This process is called "time alignment" or "timing calibration". The adjusted signal of each channel is used as the second differential signal. Since the peaks of all the second differential signals appear at the same time point Therefore, it has good timing consistency and can greatly improve the collaborative ability of multi-channel systems in time domain processing.

[0093] S104: Perform dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal.

[0094] In one embodiment, the preset characteristic parameters include an amplitude threshold, a frequency range, and a phase difference; the dynamic gain adjustment and phase compensation of each second differential signal according to the preset characteristic parameters to obtain a third differential signal includes: for any second differential signal, performing an instantaneous amplitude evaluation on the second differential signal and calculating its corresponding amplitude; comparing the amplitude with the amplitude threshold to determine a gain correction factor; performing gain correction on the second differential signal based on the gain correction factor; band-pass filtering the gain-corrected second differential signal to keep it within the frequency range; extracting the phase of the first main frequency component of the second differential signal and calculating the phase of the second main frequency component of other second differential signals; respectively calculating the phase difference between the phase of the first main frequency component and the phase of each second main frequency component, and if any of the phase differences exceeds the preset threshold, performing phase compensation on the second differential signal to obtain the third differential signal.

[0095] The amplitude threshold determines whether the signal strength is within a reasonable range, preventing overly strong or weak signals in certain channels from interfering with the fusion results. The frequency range defines the frequency band of interest for the target signal, acting as a spectral filter. The phase difference specifies the maximum permissible phase offset between signals from different channels, maintaining signal synchronization. The instantaneous amplitude of each second differential signal is evaluated and compared with the amplitude threshold. If the amplitude is too small, the signal may be overwhelmed by noise; if the amplitude is too large, it may indicate abnormal electrical stimulation or amplification error. A correction factor is used to dynamically normalize the second differential signal's amplitude, aligning the signals across channels to a uniform intensity level, facilitating subsequent processing. A bandpass filter is applied to the gain-corrected signal to remove unwanted frequency components outside the target frequency range. A short-time Fourier transform (STFT) or fast Fourier transform (FFT) is performed on each signal. The location with the maximum power spectral density is identified, corresponding to the dominant frequency component. The phase value corresponding to this frequency is extracted to obtain the phase of the dominant frequency for each channel.

[0096] Assume that the reference signal (channel 1) has a main frequency of f1 and a phase of The main frequency of other channels is f i , the phase is Calculate the phase difference: like (exceeding the preset phase threshold), indicating that the signal of this channel is out of phase with the reference signal and needs to be compensated.

[0097] Specifically, the signal is time-delay compensated to achieve alignment of the signal on the time axis and ensure synchronization of all channels. The signal time-delay compensation includes: i (t)→S i (t+Δt i ),in,

[0098] S105: Perform multimodal fusion on each of the third differential signals to obtain a target signal.

[0099] The third differential signals from multiple channels are fused into a single target signal representing the overall muscle state or target movement characteristics. This target signal has a higher signal-to-noise ratio and greater stability, and can be directly used for control feedback, electrical stimulation drive, state assessment, and more.

[0100] Through the above analysis, it can be seen that the differential-based multi-channel bioelectric signal control method provided in the embodiment of the present application includes: obtaining the original electrical signals collected by multiple bioelectric acquisition channels; using differential amplification to suppress noise and enhance signals for the original electrical signals of each channel, and outputting a first differential signal; based on the reference channel signal, using synchronization control rules to time-align the differential signals of each channel to obtain a second differential signal; dynamically adjust the gain and compensate the phase of each of the second differential signals according to preset characteristic parameters to obtain a third differential signal; perform multimodal fusion on each of the third differential signals to obtain a target signal. By differentially amplifying, synchronously aligning, dynamically regulating and multimodally fusion the original electrical signals, the common problems of weak signals, large noise, asynchronous timing and characteristic distortion in multi-channel bioelectric signal acquisition are effectively solved, aiming to improve the anti-interference ability, synchronization and controllability of multi-channel bioelectric signal acquisition, thereby improving the quality of the signal.

[0101] See also Figure 2 As shown, Figure 2 This is a schematic diagram of the structure of a multi-channel bioelectric signal control device based on differential according to an embodiment of the present application. Figure 2 It can be seen that the differential-based multi-channel bioelectric signal control device 20 provided in the embodiment of the present application includes:

[0102] An acquisition module 210 is used to acquire original electrical signals collected by multiple bioelectrical acquisition channels;

[0103] an enhancement module 220 for performing noise suppression and signal enhancement on the original electrical signal of each channel by using a differential amplification method, and outputting a first differential signal;

[0104] an alignment module 230 for performing time alignment on the differential signals of each channel using a synchronization control rule based on the reference channel signal to obtain a second differential signal;

[0105] an adjustment and compensation module 240 for performing dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal;

[0106] The fusion module 250 is configured to perform multimodal fusion on each of the third differential signals to obtain a target signal.

[0107] In one embodiment, the acquisition module 210 includes:

[0108] A measuring unit is used to set a plurality of electrode pairs attached to the target tissue surface, each pair of electrodes corresponding to a collection channel, for measuring the local biopotential difference;

[0109] The reading unit is used to read the voltage difference between each pair of electrodes to obtain the original electrical signal.

[0110] In one embodiment, the enhancement module includes:

[0111] a detection unit, configured to input the original electrical signal of each channel into a differential amplifier through an isolation buffer, and detect the common-mode voltage in real time;

[0112] The suppression unit is configured to suppress common-mode interference of the signal in the differential amplifier using feedback control based on the common-mode voltage, perform pattern recognition and eliminate nonlinear interference sources, and output the first differential signal.

[0113] In one embodiment, the suppression unit includes:

[0114] A generating subunit, configured to activate a virtual ground reference circuit or a negative feedback loop if the common-mode voltage is higher than or equal to a preset threshold value, and generate a signal of equal amplitude opposite to the common-mode voltage to perform superposition and cancellation of the common-mode interference signal;

[0115] The weakening subunit is used to use a notch filter to weaken the common-mode interference signal if the common-mode voltage frequency is lower than a preset frequency.

[0116] In one embodiment, the nonlinear interference sources include: low-frequency electromyographic fluctuations, transient clicks, and wire shaking; the suppression unit is further specifically configured to:

[0117] A nonlinear interference term estimation model is constructed by adopting an autoregressive residual method, pattern recognition is performed on the nonlinear interference source based on the nonlinear interference term estimation model, and the nonlinear interference source is eliminated, and the first differential signal is output.

[0118] In one embodiment, the alignment module 230 includes:

[0119] A recording unit, configured to digitally sample the differential signals of each channel using a unified sampling clock and record the peak occurrence time of each channel;

[0120] An alignment unit is configured to align the peak occurrence time with the peak occurrence time of the reference channel signal to obtain the second differential signal.

[0121] In one embodiment, the preset characteristic parameters include an amplitude threshold, a frequency range, and a phase difference; the adjustment and compensation module 240 includes:

[0122] an evaluation unit, configured to perform instantaneous amplitude evaluation on any second differential signal and calculate the corresponding amplitude;

[0123] a comparing unit, configured to compare the amplitude with the amplitude threshold to determine a gain correction factor;

[0124] a correction unit, configured to perform gain correction on the second differential signal based on the gain correction factor;

[0125] a filtering unit, configured to perform band-pass filtering on the second differential signal after gain correction so as to keep the signal within the frequency range;

[0126] a calculation unit, configured to extract the phase of the first main frequency component of the second differential signal and calculate the phase of the second main frequency component of the other second differential signals;

[0127] The phase compensation unit is used to respectively calculate the phase difference between the first main frequency component phase and the second main frequency component phase, and if the phase difference exceeds a preset threshold, perform phase compensation on the second differential signal to obtain the third differential signal.

[0128] 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.

[0129] See also Figure 3 As shown, Figure 3A schematic block diagram of a differential-based multi-channel bioelectric signal control device provided in an embodiment of the present application.

[0130] Exemplarily, the differential-based multi-channel bioelectric signal control device 30 includes a processing module 301 and a memory 302 .

[0131] Exemplarily, the processing module 301 and the memory 302 are connected via a bus 303 , which is, for example, an I 2 C (Inter-integrated Circuit) bus.

[0132] Specifically, the processing module 301 may be a micro-controller unit (MCU), a central processing unit (CPU), or a digital signal processing module (DSP).

[0133] Specifically, the memory 302 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.

[0134] The processing module 301 is used to run the computer program stored in the memory 302 and implement the steps of the above-mentioned differential-based multi-channel bioelectric signal control method when executing the computer program.

[0135] Exemplarily, the processing module 301 is configured to run a computer program stored in the memory 302 and implement the following steps when executing the computer program:

[0136] Acquire original electrical signals collected by multiple bioelectrical acquisition channels;

[0137] Performing noise suppression and signal enhancement on the original electrical signal of each channel by differential amplification, and outputting a first differential signal;

[0138] Based on the reference channel signal, the differential signals of each channel are time-aligned using a synchronization control rule to obtain a second differential signal;

[0139] performing dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal;

[0140] Multimodal fusion is performed on each of the third differential signals to obtain a target signal.

[0141] In one embodiment, the step of acquiring raw electrical signals collected by multiple bioelectrical collection channels includes:

[0142] Multiple electrode pairs are attached to the surface of the target tissue, each pair of electrodes corresponding to a collection channel for measuring local biopotential difference;

[0143] The voltage difference between each pair of electrodes is read to obtain the original electrical signal.

[0144] In one embodiment, the noise suppression and signal enhancement are performed on the original electrical signal of each channel using a differential amplification method to output a first differential signal, including:

[0145] The original electrical signal of each channel is input into a differential amplifier after passing through an isolation buffer, and the common mode voltage is detected in real time;

[0146] Based on the common-mode voltage, feedback control is used to suppress common-mode interference of the signal in the differential amplifier, and pattern recognition and elimination are performed on nonlinear interference sources to output the first differential signal.

[0147] In one embodiment, the performing common-mode interference suppression on the signal in the differential amplifier using feedback control based on the common-mode voltage includes:

[0148] If the common-mode voltage is higher than or equal to a preset threshold, a virtual ground reference circuit or a negative feedback loop is started to generate an equal-amplitude signal opposite to the common-mode voltage to superimpose and cancel the common-mode interference signal;

[0149] If the common-mode voltage frequency is lower than a preset frequency, a notch filter is used to weaken the common-mode interference signal.

[0150] In one embodiment, the nonlinear interference sources include: low-frequency electromyographic fluctuations, transient clicks, and wire shaking; and the performing pattern recognition and elimination of the nonlinear interference sources and outputting the first differential signal includes:

[0151] A nonlinear interference term estimation model is constructed by adopting an autoregressive residual method, pattern recognition is performed on the nonlinear interference source based on the nonlinear interference term estimation model, and the nonlinear interference source is eliminated, and the first differential signal is output.

[0152] In one embodiment, the step of performing time alignment on the differential signals of each channel using a synchronization control rule based on the reference channel signal to obtain the second differential signal includes:

[0153] A unified sampling clock is used to digitally sample the differential signals of each channel and the peak occurrence time of each channel is recorded separately;

[0154] The peak occurrence time is aligned with the peak occurrence time of the reference channel signal to obtain the second differential signal.

[0155] In one embodiment, the preset characteristic parameters include an amplitude threshold, a frequency range, and a phase difference; and the step of dynamically adjusting gain and compensating phase of each of the second differential signals according to the preset characteristic parameters to obtain a third differential signal includes:

[0156] For any second differential signal, perform instantaneous amplitude evaluation on the second differential signal and calculate the corresponding amplitude;

[0157] comparing the amplitude with the amplitude threshold to determine a gain correction factor;

[0158] performing gain correction on the second differential signal based on the gain correction factor;

[0159] performing band-pass filtering on the second differential signal after gain correction so as to keep the signal within the frequency range;

[0160] Extracting the phase of the first main frequency component of the second differential signal, and calculating the phase of the second main frequency component of the other second differential signals;

[0161] The phase differences between the first main frequency component and each of the second main frequency components are calculated respectively. If any of the phase differences exceeds a preset threshold, the second differential signal is phase compensated to obtain the third differential signal.

[0162] The specific principles and implementation methods of the differential-based multi-channel bioelectric signal control device provided in the embodiment of the present application are similar to the differential-based multi-channel bioelectric signal control method in the aforementioned embodiment, and will not be repeated here.

[0163] 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:

[0164] Acquire original electrical signals collected by multiple bioelectrical acquisition channels;

[0165] Performing noise suppression and signal enhancement on the original electrical signal of each channel by differential amplification, and outputting a first differential signal;

[0166] Based on the reference channel signal, the differential signals of each channel are time-aligned using a synchronization control rule to obtain a second differential signal;

[0167] performing dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal;

[0168] Multimodal fusion is performed on each of the third differential signals to obtain a target signal.

[0169] In one embodiment, the step of acquiring raw electrical signals collected by multiple bioelectrical collection channels includes:

[0170] Multiple electrode pairs are attached to the surface of the target tissue, each pair of electrodes corresponding to a collection channel for measuring local biopotential difference;

[0171] The voltage difference between each pair of electrodes is read to obtain the original electrical signal.

[0172] In one embodiment, the noise suppression and signal enhancement are performed on the original electrical signal of each channel using a differential amplification method to output a first differential signal, including:

[0173] The original electrical signal of each channel is input into a differential amplifier after passing through an isolation buffer, and the common mode voltage is detected in real time;

[0174] Based on the common-mode voltage, feedback control is used to suppress common-mode interference of the signal in the differential amplifier, and pattern recognition and elimination are performed on nonlinear interference sources to output the first differential signal.

[0175] In one embodiment, the performing common-mode interference suppression on the signal in the differential amplifier using feedback control based on the common-mode voltage includes:

[0176] If the common-mode voltage is higher than or equal to a preset threshold, a virtual ground reference circuit or a negative feedback loop is started to generate an equal-amplitude signal opposite to the common-mode voltage to superimpose and cancel the common-mode interference signal;

[0177] If the common-mode voltage frequency is lower than a preset frequency, a notch filter is used to weaken the common-mode interference signal.

[0178] In one embodiment, the nonlinear interference sources include: low-frequency electromyographic fluctuations, transient clicks, and wire shaking; and the performing pattern recognition and elimination of the nonlinear interference sources and outputting the first differential signal includes:

[0179] A nonlinear interference term estimation model is constructed by adopting an autoregressive residual method, pattern recognition is performed on the nonlinear interference source based on the nonlinear interference term estimation model, and the nonlinear interference source is eliminated, and the first differential signal is output.

[0180] In one embodiment, the step of performing time alignment on the differential signals of each channel using a synchronization control rule based on the reference channel signal to obtain the second differential signal includes:

[0181] A unified sampling clock is used to digitally sample the differential signals of each channel and the peak occurrence time of each channel is recorded separately;

[0182] The peak occurrence time is aligned with the peak occurrence time of the reference channel signal to obtain the second differential signal.

[0183] In one embodiment, the preset characteristic parameters include an amplitude threshold, a frequency range, and a phase difference; and the step of dynamically adjusting gain and compensating phase of each of the second differential signals according to the preset characteristic parameters to obtain a third differential signal includes:

[0184] For any second differential signal, perform instantaneous amplitude evaluation on the second differential signal and calculate the corresponding amplitude;

[0185] comparing the amplitude with the amplitude threshold to determine a gain correction factor;

[0186] performing gain correction on the second differential signal based on the gain correction factor;

[0187] performing band-pass filtering on the second differential signal after gain correction so as to keep the signal within the frequency range;

[0188] Extracting the phase of the first main frequency component of the second differential signal, and calculating the phase of the second main frequency component of the other second differential signals;

[0189] The phase differences between the first main frequency component and each of the second main frequency components are calculated respectively. If any of the phase differences exceeds a preset threshold, the second differential signal is phase compensated to obtain the third differential signal.

[0190] The computer-readable storage medium may be an internal storage unit of the differential-based multi-channel bioelectric signal control device in the aforementioned embodiment, such as a hard disk or memory of the differential-based multi-channel bioelectric signal control device. The computer-readable storage medium may also be an external storage device of the differential-based multi-channel bioelectric signal control device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card, etc. equipped on the differential-based multi-channel bioelectric signal control device.

[0191] 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.

[0192] 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.

[0193] 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 multi-channel bioelectric signal control method based on differential, characterized in that: include: Acquire original electrical signals collected by multiple bioelectrical acquisition channels; Performing noise suppression and signal enhancement on the original electrical signal of each channel by differential amplification, and outputting a first differential signal; Based on the reference channel signal, the differential signals of each channel are time-aligned using a synchronization control rule to obtain a second differential signal; performing dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal; Multimodal fusion is performed on each of the third differential signals to obtain a target signal.

2. The differential-based multi-channel bioelectric signal control method according to claim 1, characterized in that: The step of acquiring the original electrical signals collected by the multiple bioelectrical collection channels includes: Multiple electrode pairs are attached to the surface of the target tissue, each pair of electrodes corresponding to a collection channel for measuring local biopotential difference; The voltage difference between each pair of electrodes is read to obtain the original electrical signal.

3. The differential-based multi-channel bioelectric signal control method according to claim 1, characterized in that: The method of performing noise suppression and signal enhancement on the original electrical signal of each channel by using a differential amplification method and outputting a first differential signal includes: The original electrical signal of each channel is input into a differential amplifier after passing through an isolation buffer, and the common mode voltage is detected in real time; Based on the common-mode voltage, feedback control is used to suppress common-mode interference of the signal in the differential amplifier, and pattern recognition and elimination are performed on nonlinear interference sources to output the first differential signal.

4. The differential-based multi-channel bioelectric signal control method according to claim 3, characterized in that: The step of performing common-mode interference suppression on a signal in the differential amplifier using feedback control based on the common-mode voltage includes: If the common-mode voltage is higher than or equal to a preset threshold, a virtual ground reference circuit or a negative feedback loop is started to generate an equal-amplitude signal opposite to the common-mode voltage to superimpose and cancel the common-mode interference signal; If the common-mode voltage frequency is lower than a preset frequency, a notch filter is used to weaken the common-mode interference signal.

5. The differential-based multi-channel bioelectric signal control method according to claim 3, characterized in that: The nonlinear interference sources include: low-frequency electromyographic fluctuations, transient clicks, and wire shaking; the pattern recognition and elimination of the nonlinear interference sources and the output of the first differential signal include: A nonlinear interference term estimation model is constructed by adopting an autoregressive residual method, pattern recognition is performed on the nonlinear interference source based on the nonlinear interference term estimation model, and the nonlinear interference source is eliminated, and the first differential signal is output.

6. The differential-based multi-channel bioelectric signal control method according to claim 1, characterized in that: The step of performing time alignment on the differential signals of each channel using a synchronization control rule based on the reference channel signal to obtain a second differential signal includes: A unified sampling clock is used to digitally sample the differential signals of each channel and the peak occurrence time of each channel is recorded separately; The peak occurrence time is aligned with the peak occurrence time of the reference channel signal to obtain the second differential signal.

7. The differential-based multi-channel bioelectric signal control method according to claim 1, characterized in that: The preset characteristic parameters include amplitude threshold, frequency range and phase difference; The step of performing dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal includes: For any second differential signal, perform instantaneous amplitude evaluation on the second differential signal and calculate the corresponding amplitude; comparing the amplitude with the amplitude threshold to determine a gain correction factor; performing gain correction on the second differential signal based on the gain correction factor; performing band-pass filtering on the second differential signal after gain correction so as to keep the signal within the frequency range; Extracting the phase of the first main frequency component of the second differential signal, and calculating the phase of the second main frequency component of the other second differential signals; The phase differences between the first main frequency component and each of the second main frequency components are calculated respectively. If any of the phase differences exceeds a preset threshold, the second differential signal is phase compensated to obtain the third differential signal.

8. A multi-channel bioelectric signal control device based on differential, characterized in that: include: An acquisition module is used to acquire the original electrical signals collected by multiple bioelectrical acquisition channels; an enhancement module, configured to perform noise suppression and signal enhancement on the original electrical signal of each channel by using a differential amplification method, and output a first differential signal; an alignment module, configured to perform time alignment on the differential signals of each channel using a synchronization control rule based on a reference channel signal to obtain a second differential signal; an adjustment and compensation module, configured to perform dynamic gain adjustment and phase compensation on each of the second differential signals according to preset characteristic parameters to obtain a third differential signal; The fusion module is used to perform multimodal fusion on each of the third differential signals to obtain a target 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 differential-based multi-channel bioelectric signal control 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 execute the steps of the differential-based multi-channel bioelectric signal control method according to any one of claims 1 to 7.

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