RC-based multi-frequency bio-electricity signal modulation method, device and equipment and storage medium

Abstract

The invention relates to the technical field of signal processing, and provides an RC-based multi-frequency bio-electricity signal modulation method, which comprises the following steps: acquiring a bio-electricity-like signal, and carrying out digital processing on the bio-electricity-like signal; inputting the bioelectricity-like signal subjected to the digital processing into a pre-constructed RC (Resistance-Capacitance) network; and based on the monitored bioelectrical characteristics of the target tissue, adjusting the RC network parameters to obtain a target bioelectrical signal. The RC network parameters are dynamically adjusted according to the monitored bioelectrical characteristics of the target tissue, so that the bioelectrical signals matched with the current tissue are obtained, the modulation flexibility of the bioelectrical signals is improved, and the method can adapt to the bioelectrical characteristics of different individuals or tissues.

Description

Technical Field

[0001] The present invention relates to the field of signal processing technology, and in particular to an RC-based multi-frequency bioelectric signal modulation method, device, equipment and storage medium. Background Art

[0002] Bioelectric signal manipulation has widespread applications in medical diagnosis, neuromodulation, and rehabilitation therapy. Traditional bioelectric signal manipulation methods rely primarily on signal modulation using fixed frequencies or a limited combination of frequencies, making it difficult to achieve precise and dynamic control of biological tissues. Consequently, existing bioelectric signal modulation methods often lack flexibility and are unable to adapt to the bioelectrical characteristics of different individuals or tissues. Summary of the Invention

[0003] The embodiments of the present application provide a multi-frequency bioelectric signal modulation method, device, equipment and storage medium based on RC, which aims to dynamically adjust the RC network parameters according to the monitored bioelectric characteristics of the target tissue to obtain a bioelectric signal that matches the current tissue, thereby improving the flexibility of bioelectric signal modulation and being able to adapt to the bioelectric characteristics of different individuals or tissues.

[0004] In a first aspect, an embodiment of the present application provides an RC-based multi-frequency bioelectric signal modulation method, comprising:

[0005] Acquiring a bioelectric-like signal, and digitally processing the bioelectric-like signal;

[0006] Inputting the digitally processed bioelectrical signal into a pre-built RC network;

[0007] Based on the monitored bioelectric characteristics of the target tissue, the RC network parameters are adjusted to obtain the target bioelectric signal.

[0008] In one embodiment, before inputting the digitally processed bioelectric-like signal into a pre-built RC network, the method further includes:

[0009] An adjustable RC network is constructed, wherein the adjustable RC network includes at least one variable resistor and at least one variable capacitor.

[0010] In one embodiment, the bioelectric characteristics include impedance amplitude, impedance phase angle, and first response characteristics;

[0011] Adjusting the RC network parameters based on the monitored bioelectric characteristics of the target tissue to obtain a target bioelectric signal includes:

[0012] Based on the monitored impedance amplitude and impedance phase angle of the target tissue, the equivalent resistance and equivalent reactance of the target tissue are calculated respectively;

[0013] Calculating an equivalent impedance of the RC network based on the equivalent resistance and the equivalent reactance;

[0014] determining a cutoff frequency of the RC network based on the first response characteristic;

[0015] Based on the equivalent impedance and the cutoff frequency, the RC network parameters are adjusted to obtain the target bioelectric signal.

[0016] In one embodiment, calculating the equivalent resistance and equivalent reactance of the target tissue based on the monitored impedance amplitude and impedance phase angle of the target tissue includes:

[0017] R=|Z|·cos(θ)

[0018] X=|Z|·sin(θ)

[0019] Where R is the equivalent resistance of the target tissue, |Z| is the impedance amplitude of the target tissue, and cos(θ)

[0020] is the cosine of the phase angle of the target tissue, and sin(θ) is the sine of the phase angle of the target tissue.

[0021] In one embodiment, calculating the equivalent impedance of the RC network based on the equivalent resistance and the equivalent reactance includes:

[0022] Z RC =R+jX

[0023] Among them, Z RC is the equivalent impedance of the RC network, which is a complex number, and j is the unit of the imaginary part.

[0024] In one embodiment, determining the cutoff frequency of the RC network based on the first response characteristic includes:

[0025] determining a frequency range of a target bioelectrical signal based on the first response characteristic;

[0026] The cutoff frequency of the RC network is determined based on the frequency range of the target bioelectric signal.

[0027] In one embodiment, adjusting the RC network parameters based on the equivalent impedance and the cutoff frequency to obtain the target bioelectric signal includes:

[0028] adjusting the resistance value of the variable resistor in the RC network based on the equivalent impedance to match the impedance of the RC network with the equivalent impedance;

[0029] According to the cutoff frequency, the capacitance value of the variable capacitor in the RC network is adjusted to match the second response characteristic of the RC network with the first response characteristic.

[0030] In a second aspect, an embodiment of the present application provides an RC-based multi-frequency bioelectric signal modulation device, comprising:

[0031] An acquisition module, configured to acquire a bioelectric-like signal and digitally process the bioelectric-like signal;

[0032] An input module, used to input the digitally processed bioelectrical signal into a pre-built RC network;

[0033] The obtaining module is used to adjust the RC network parameters based on the monitored bioelectric characteristics of the target tissue to obtain the target bioelectric signal.

[0034] In one embodiment, the apparatus further comprises:

[0035] The building module is used to build an adjustable RC network, where the adjustable RC network includes at least one variable resistor and at least one variable capacitor.

[0036] In one embodiment, the bioelectric characteristics include impedance amplitude, impedance phase angle, and first response characteristics; and the obtaining module includes:

[0037] a first calculation unit, configured to calculate the equivalent resistance and equivalent reactance of the target tissue based on the monitored impedance amplitude and impedance phase angle of the target tissue;

[0038] a second calculation unit, configured to calculate an equivalent impedance of the RC network based on the equivalent resistance and the equivalent reactance;

[0039] a determining unit, configured to determine a cutoff frequency of the RC network based on the first response characteristic;

[0040] An adjustment unit is used to adjust the RC network parameters based on the equivalent impedance and the cut-off frequency to obtain the target bioelectric signal.

[0041] In one embodiment, the first calculation unit is configured to calculate the equivalent resistance and equivalent reactance of the target tissue based on the following formulas:

[0042] R=|Z|·cos(θ)

[0043] X=|Z|·sin(θ)

[0044] Where R is the equivalent resistance of the target tissue, |Z| is the impedance amplitude of the target tissue, and cos(θ)

[0045] is the cosine of the phase angle of the target tissue, and sin(θ) is the sine of the phase angle of the target tissue.

[0046] In one embodiment, the second calculation unit is configured to calculate the equivalent impedance of the RC network based on the following formula:

[0047] Z RC =R+jX

[0048] Among them, Z RC is the equivalent impedance of the RC network, which is a complex number, and j is the unit of the imaginary part.

[0049] In one embodiment, the determining unit includes:

[0050] a first determining subunit, configured to determine a frequency range of a target bioelectric signal based on the first response characteristic;

[0051] The second determining subunit is configured to determine a cutoff frequency of the RC network based on a frequency range of the target bioelectric signal.

[0052] In one embodiment, the adjustment unit includes:

[0053] a first adjusting subunit, configured to adjust the resistance value of the variable resistor in the RC network based on the equivalent impedance, so as to match the impedance of the RC network with the equivalent impedance;

[0054] The second adjusting subunit is configured to adjust the capacitance of the variable capacitor in the RC network according to the cut-off frequency, so as to match the second response characteristic of the RC network with the first response characteristic.

[0055] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0056] Memory and processing modules;

[0057] The memory is used to store computer programs;

[0058] The processing module is used to execute the computer program and implement the steps of the RC-based multi-frequency bioelectric signal modulation method of the first aspect when executing the computer program.

[0059] 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;

[0060] When the computer program is executed by one or more processing modules, the one or more processing modules are caused to execute the steps of the RC-based multi-frequency bioelectric signal modulation method of the first aspect as described above.

[0061] Embodiments of the present application provide a multi-frequency bioelectric signal modulation method, apparatus, device, and storage medium based on RC. The multi-frequency bioelectric signal modulation method based on RC includes: acquiring a bioelectric signal and digitally processing the bioelectric signal; inputting the digitally processed bioelectric signal into a pre-constructed RC network; and adjusting the RC network parameters based on the monitored bioelectric characteristics of the target tissue to obtain the target bioelectric signal. By dynamically adjusting the RC network parameters based on the monitored bioelectric characteristics of the target tissue to obtain a bioelectric signal that matches the current tissue, the flexibility of bioelectric signal modulation is improved, and the method can adapt to the bioelectric characteristics of different individuals or tissues. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] 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.

[0063] Figure 1 A flow chart of a multi-frequency bioelectric signal modulation method based on RC provided in an embodiment of the present application;

[0064] Figure 2 A flowchart of a multi-frequency bioelectric signal modulation method based on RC according to another embodiment of the present application;

[0065] Figure 3 A schematic diagram of the structure of a multi-frequency bioelectric signal modulation device based on RC according to an embodiment of the present application;

[0066] Figure 4 A schematic block diagram of an RC-based multi-frequency bioelectric signal modulation device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] The technical solution provided in this application will be described in detail below with reference to the accompanying drawings.

[0072] See also Figure 1 , Figure 1 The flowchart of the multi-frequency bioelectric signal modulation method based on RC provided in the embodiment of the present application is shown. The multi-frequency bioelectric signal modulation method based on RC provided in the embodiment of the present application is implemented by a multi-frequency bioelectric signal modulation device based on RC. The embodiment of the present application does not impose any limitation on the multi-frequency bioelectric signal modulation device based on RC. Specifically, Figure 1 As shown, the RC-based multi-frequency bioelectric signal modulation method includes steps S101 to S104. The details are as follows:

[0073] S101: Acquire a bioelectric-like signal and digitally process the bioelectric-like signal.

[0074] A function signal generator can simulate specific bioelectric signals, such as electrocardiogram (ECG), electroencephalogram (EEG), or electromyography (EMG). Alternatively, the device can pre-store bioelectric signals and synthesize them using mathematical models. In the embodiments of the present application, the quasi-bioelectric signal can be a bioelectric signal generated by a function signal generator, a pre-stored bioelectric signal, or a bioelectric signal synthesized using mathematical models.

[0075] The acquired biopotential-like signals are typically analog signals. After acquisition, they need to be digitized for further analysis and application. Specifically, an analog-to-digital converter (ADC) can be used to digitize the biopotential-like signals. Depending on the type of biopotential-like signal, an ADC with a different sampling rate and quantization bit count can be used to digitize the biopotential-like signal.

[0076] S102: Inputting the digitally processed bioelectric-like signal into a pre-built RC network.

[0077] The pre-built RC network is an adjustable RC network used to adjust the frequency response of the signal to optimize signal quality and adapt to the bioelectric characteristics of the target tissue.

[0078] S103: Based on the monitored bioelectric characteristics of the target tissue, the RC network parameters are adjusted to obtain a target bioelectric signal.

[0079] According to the bioelectric characteristics of the target tissue, the RC network parameters are dynamically adjusted in real time to ensure that the final output bioelectric signal meets expectations.

[0080] The bioelectrical properties of the target tissue typically include impedance magnitude, impedance phase angle, and frequency response. The impedance measurement circuit measures the target tissue's impedance magnitude and phase angle, and then calculates the target tissue's equivalent resistance and equivalent reactance, thus obtaining the target tissue's impedance. The resistance and capacitance of the RC network are then adjusted in real time based on the target tissue's impedance. The frequency response characteristic is reflected by the impedance changes of the target tissue at different frequencies. Specifically, this includes the changes in impedance magnitude and impedance phase angle with frequency.

[0081] See also Figure 2 As shown, Figure 2 This is a flow chart of a multi-frequency bioelectric signal modulation method based on RC provided in another embodiment of the present application. Figure 2 It can be seen that this embodiment is Figure 1 Compared with the embodiment shown, the specific implementation process of S201 is the same as S101, and S203 to S204 are the same as S102 to S103. The difference is that S202 is included before S203, and the execution order of S202 and S201 is not limited. The details are as follows:

[0082] S201: Acquire a bioelectric-like signal and digitally process the bioelectric-like signal.

[0083] S202: Construct an adjustable RC network, where the adjustable RC network includes at least one variable resistor and at least one variable capacitor.

[0084] S203: Inputting the digitally processed bioelectric-like signal into a pre-built RC network.

[0085] S204: Based on the monitored bioelectric characteristics of the target tissue, the RC network parameters are adjusted to obtain a target bioelectric signal.

[0086] Exemplarily, the bioelectric characteristics include impedance amplitude, impedance phase angle and first response characteristics; based on the monitored bioelectric characteristics of the target tissue, the RC network parameters are adjusted to obtain the target bioelectric signal, including: based on the monitored impedance amplitude and impedance phase angle of the target tissue, respectively calculating the equivalent resistance and equivalent reactance of the target tissue; based on the equivalent resistance and the equivalent reactance, calculating the equivalent impedance of the RC network; based on the response characteristics, determining the cutoff frequency of the RC network; based on the equivalent impedance and the cutoff frequency, adjusting the RC network parameters to obtain the target bioelectric signal.

[0087] Specifically, based on the monitored impedance amplitude and impedance phase angle of the target tissue, the equivalent resistance and equivalent reactance of the target tissue are calculated, including:

[0088] R=|Z|·cos(θ)

[0089] X=|Z|·sin(θ)

[0090] Where R is the equivalent resistance of the target tissue, |Z| is the impedance amplitude of the target tissue, and cos(θ)

[0091] is the cosine of the phase angle of the target tissue, and sin(θ) is the sine of the phase angle of the target tissue.

[0092] Calculate the equivalent impedance of the RC network based on the equivalent resistance and equivalent reactance, including:

[0093] Z RC =R+jX

[0094] Among them, Z RC is the equivalent impedance of the RC network, which is a complex number, and j is the unit of the imaginary part.

[0095] Determining the cutoff frequency of the RC network based on the first response characteristic includes: determining the frequency range of the target bioelectric signal based on the first response characteristic; and determining the cutoff frequency of the RC network based on the frequency range of the target bioelectric signal.

[0096] Based on the equivalent impedance and cutoff frequency, the RC network parameters are adjusted to obtain the target bioelectric signal, including: adjusting the resistance value of the variable resistor in the RC network based on the equivalent impedance to match the impedance of the RC network with the equivalent impedance; according to the cutoff frequency, adjusting the capacitance value of the variable capacitor in the RC network to match the second response characteristic of the RC network with the first response characteristic.

[0097] After calculating the equivalent impedance of the target tissue based on the impedance amplitude and impedance phase angle, the appropriate resistance value can be selected according to the amplitude of the equivalent impedance. The goal is to match the impedance of the RC network with the impedance of the target tissue to achieve optimal signal transmission and matching. The variable capacitance is adjusted according to the cutoff frequency, and the appropriate capacitance value is selected for different response characteristics so that the RC network has good frequency response characteristics within the frequency range of the target bioelectric signal, thereby achieving effective extraction and restoration of the target bioelectric signal. By dynamically adjusting the variable resistor and variable capacitor in the RC network, the overall electrical characteristics of the RC network are consistent with the bioelectric characteristics of the target tissue, thereby achieving accurate acquisition and adaptation of the target bioelectric signal, and improving the authenticity, stability and analytical value of the signal.

[0098] When designing a low-pass, high-pass, or band-pass filter, it's important to select an appropriate capacitor value, C, to ensure the RC network's cutoff frequency matches the target frequency range. By adjusting the capacitor value, C, the RC network's response characteristics can be tuned to ensure the target biosignal's frequency passes while suppressing noise above or below the target frequency band. For lower-frequency biosignals, a larger capacitor value is typically required to lower the cutoff frequency. For higher-frequency signals, a smaller capacitor value can achieve a higher cutoff frequency.

[0099] The above analysis shows that the RC-based multi-frequency bioelectric signal modulation method provided in the embodiment of the present application includes: obtaining a bioelectric-like signal and digitally processing the bioelectric-like signal; inputting the digitally processed bioelectric-like signal into a pre-constructed RC network; and adjusting the RC network parameters based on the monitored bioelectric characteristics of the target tissue to obtain the target bioelectric signal. By dynamically adjusting the RC network parameters based on the monitored bioelectric characteristics of the target tissue to obtain a bioelectric signal that matches the current tissue, the flexibility of bioelectric signal modulation is improved, and the method can adapt to the bioelectric characteristics of different individuals or tissues.

[0100] See also Figure 3 As shown, Figure 3 This is a schematic diagram of the structure of the RC-based multi-frequency bioelectric signal modulation device provided in the embodiment of the present application. Figure 3 It can be seen that the RC-based multi-frequency bioelectric signal modulation device 300 provided in the embodiment of the present application includes:

[0101] An acquisition module 310 is configured to acquire a bioelectric-like signal and digitally process the bioelectric-like signal;

[0102] An input module 320, configured to input the digitized bioelectrical signal into a pre-built RC network;

[0103] The obtaining module 330 is used to adjust the RC network parameters based on the monitored bioelectric characteristics of the target tissue to obtain the target bioelectric signal.

[0104] In one embodiment, the apparatus 300 further includes:

[0105] The building module is used to build an adjustable RC network, where the adjustable RC network includes at least one variable resistor and at least one variable capacitor.

[0106] In one embodiment, the bioelectric characteristics include impedance amplitude, impedance phase angle, and first response characteristics; the obtaining module 330 includes:

[0107] a first calculation unit, configured to calculate the equivalent resistance and equivalent reactance of the target tissue based on the monitored impedance amplitude and impedance phase angle of the target tissue;

[0108] a second calculation unit, configured to calculate an equivalent impedance of the RC network based on the equivalent resistance and the equivalent reactance;

[0109] a determining unit, configured to determine a cutoff frequency of the RC network based on the first response characteristic;

[0110] An adjustment unit is used to adjust the RC network parameters based on the equivalent impedance and the cut-off frequency to obtain the target bioelectric signal.

[0111] In one embodiment, the first calculation unit is configured to calculate the equivalent resistance and equivalent reactance of the target tissue based on the following formulas:

[0112] R=|Z|·cos(θ)

[0113] X=|Z|·sin(θ)

[0114] Where R is the equivalent resistance of the target tissue, |Z| is the impedance amplitude of the target tissue, and cos(θ)

[0115] is the cosine of the phase angle of the target tissue, and sin(θ) is the sine of the phase angle of the target tissue.

[0116] In one embodiment, the second calculation unit is configured to calculate the equivalent impedance of the RC network based on the following formula:

[0117] Z RC =R+jX

[0118] Among them, Z RC is the equivalent impedance of the RC network, which is a complex number, and j is the unit of the imaginary part.

[0119] In one embodiment, the determining unit includes:

[0120] a first determining subunit, configured to determine a frequency range of a target bioelectrical signal based on the response characteristic;

[0121] The second determining subunit is configured to determine a cutoff frequency of the RC network based on a frequency range of the target bioelectric signal.

[0122] In one embodiment, the adjustment unit includes:

[0123] a first adjusting subunit, configured to adjust the resistance value of the variable resistor in the RC network based on the equivalent impedance, so as to match the impedance of the RC network with the equivalent impedance;

[0124] The second adjusting subunit is configured to adjust the capacitance of the variable capacitor in the RC network according to the cut-off frequency, so as to match the second response characteristic of the RC network with the first response characteristic.

[0125] 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.

[0126] See also Figure 4 As shown, Figure 4 A schematic block diagram of an RC-based multi-frequency bioelectric signal modulation device provided in an embodiment of the present application.

[0127] Exemplarily, the RC-based multi-frequency bioelectric signal modulation device 40 includes a processing module 401 and a memory 402 .

[0128] 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.

[0129] Specifically, the processing module 401 may be a micro-controller unit (MCU), a central processing unit (CPU), or a digital signal processing module (DSP).

[0130] 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.

[0131] The processing module 401 is used to run the computer program stored in the memory 402 and implement the steps of the above-mentioned RC-based multi-frequency bioelectric signal modulation method when executing the computer program.

[0132] 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:

[0133] Acquiring bioelectric-like signals and digitally processing the bioelectric-like signals;

[0134] The digitally processed bioelectric-like signal is input into the pre-built RC network;

[0135] Based on the monitored bioelectric characteristics of the target tissue, the RC network parameters are adjusted to obtain the target bioelectric signal.

[0136] In one embodiment, before inputting the digitally processed bioelectric-like signal into the pre-built RC network, the method further includes:

[0137] An adjustable RC network is constructed, where the adjustable RC network includes at least one variable resistor and at least one variable capacitor.

[0138] In one embodiment, the bioelectric characteristics include impedance amplitude, impedance phase angle, and first response characteristics;

[0139] Based on the monitored bioelectric characteristics of the target tissue, the RC network parameters are adjusted to obtain the target bioelectric signal, including:

[0140] Based on the monitored impedance amplitude and impedance phase angle of the target tissue, the equivalent resistance and equivalent reactance of the target tissue are calculated respectively;

[0141] Calculate the equivalent impedance of the RC network based on the equivalent resistance and equivalent reactance;

[0142] Based on the response characteristics, determine the cutoff frequency of the RC network;

[0143] Based on the equivalent impedance and cutoff frequency, the RC network parameters are adjusted to obtain the target bioelectric signal.

[0144] In one embodiment, calculating the equivalent resistance and equivalent reactance of the target tissue based on the monitored impedance magnitude and impedance phase angle of the target tissue includes:

[0145] R=|Z|·cos(θ)

[0146] X=|Z|·sin(θ)

[0147] Where R is the equivalent resistance of the target tissue, |Z| is the impedance amplitude of the target tissue, and cos(θ)

[0148] is the cosine of the phase angle of the target tissue, and sin(θ) is the sine of the phase angle of the target tissue.

[0149] In one embodiment, calculating the equivalent impedance of the RC network based on the equivalent resistance and the equivalent reactance includes:

[0150] Z RC =R+jX

[0151] Among them, Z RC is the equivalent impedance of the RC network, which is a complex number, and j is the unit of the imaginary part.

[0152] In one embodiment, determining the cutoff frequency of the RC network based on the first response characteristic includes:

[0153] Determining the frequency range of the target bioelectrical signal based on the first response characteristic;

[0154] The cutoff frequency of the RC network is determined based on the frequency range of the target bioelectric signal.

[0155] In one embodiment, adjusting RC network parameters based on equivalent impedance and cutoff frequency to obtain a target bioelectrical signal includes:

[0156] Adjusting the resistance value of the variable resistor in the RC network based on the equivalent impedance to match the impedance of the RC network with the equivalent impedance;

[0157] According to the cut-off frequency, the capacitance value of the variable capacitor in the RC network is adjusted to match the second response characteristic of the RC network with the first response characteristic.

[0158] The specific principles and implementation methods of the RC-based multi-frequency bioelectric signal modulation device provided in the embodiment of the present application are similar to those of the RC-based multi-frequency bioelectric signal modulation method in the aforementioned embodiment, and will not be repeated here.

[0159] 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:

[0160] Acquiring bioelectric-like signals and digitally processing the bioelectric-like signals;

[0161] The digitally processed bioelectric-like signal is input into the pre-built RC network;

[0162] Based on the monitored bioelectric characteristics of the target tissue, the RC network parameters are adjusted to obtain the target bioelectric signal.

[0163] In one embodiment, before inputting the digitally processed bioelectric-like signal into the pre-built RC network, the method further includes:

[0164] An adjustable RC network is constructed, where the adjustable RC network includes at least one variable resistor and at least one variable capacitor.

[0165] In one embodiment, the bioelectric characteristics include impedance amplitude, impedance phase angle, and first response characteristics;

[0166] Based on the monitored bioelectric characteristics of the target tissue, the RC network parameters are adjusted to obtain the target bioelectric signal, including:

[0167] Based on the monitored impedance amplitude and impedance phase angle of the target tissue, the equivalent resistance and equivalent reactance of the target tissue are calculated respectively;

[0168] Calculate the equivalent impedance of the RC network based on the equivalent resistance and equivalent reactance;

[0169] Based on the response characteristics, determine the cutoff frequency of the RC network;

[0170] Based on the equivalent impedance and cutoff frequency, the RC network parameters are adjusted to obtain the target bioelectric signal.

[0171] In one embodiment, calculating the equivalent resistance and equivalent reactance of the target tissue based on the monitored impedance magnitude and impedance phase angle of the target tissue includes:

[0172] R=|Z|·cos(θ)

[0173] X=|Z|·sin(θ)

[0174] Where R is the equivalent resistance of the target tissue, |Z| is the impedance amplitude of the target tissue, cos(θ) is the cosine of the phase angle of the target tissue, and sin(θ) is the sine of the phase angle of the target tissue.

[0175] In one embodiment, calculating the equivalent impedance of the RC network based on the equivalent resistance and the equivalent reactance includes:

[0176] Z RC =R+jX

[0177] Among them, Z RC is the equivalent impedance of the RC network, which is a complex number, and j is the unit of the imaginary part.

[0178] In one embodiment, determining the cutoff frequency of the RC network based on the first response characteristic includes:

[0179] Determining the frequency range of the target bioelectrical signal based on the first response characteristic;

[0180] The cutoff frequency of the RC network is determined based on the frequency range of the target bioelectric signal.

[0181] In one embodiment, adjusting RC network parameters based on equivalent impedance and cutoff frequency to obtain a target bioelectrical signal includes:

[0182] Adjusting the resistance value of the variable resistor in the RC network based on the equivalent impedance to match the impedance of the RC network with the equivalent impedance;

[0183] According to the cut-off frequency, the capacitance value of the variable capacitor in the RC network is adjusted to match the second response characteristic of the RC network with the first response characteristic.

[0184] The computer-readable storage medium may be an internal storage unit of the RC-based multi-frequency bioelectric signal modulation device in the aforementioned embodiment, such as a hard disk or memory of the RC-based multi-frequency bioelectric signal modulation device. The computer-readable storage medium may also be an external storage device of the RC-based multi-frequency bioelectric signal modulation device, such as a plug-in hard disk equipped on the RC-based multi-frequency bioelectric signal modulation device, a smart memory card (SMC), a secure digital (SD) card, a flash card, etc.

[0185] 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.

[0186] 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.

[0187] 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-frequency bioelectric signal modulation method based on RC, characterized in that: include: Acquiring a bioelectric-like signal, and digitally processing the bioelectric-like signal; Inputting the digitally processed bioelectrical signal into a pre-built RC network; Based on the monitored bioelectric characteristics of the target tissue, the RC network parameters are adjusted to obtain the target bioelectric signal.

2. The RC-based multi-frequency bioelectric signal modulation method according to claim 1, characterized in that: Before inputting the digitally processed bioelectric-like signal into the pre-built RC network, the method further includes: An adjustable RC network is constructed, wherein the adjustable RC network includes at least one variable resistor and at least one variable capacitor.

3. The RC-based multi-frequency bioelectric signal modulation method according to claim 2, characterized in that: The bioelectric characteristics include impedance amplitude, impedance phase angle and first response characteristics; Adjusting the RC network parameters based on the monitored bioelectric characteristics of the target tissue to obtain a target bioelectric signal includes: Based on the monitored impedance amplitude and impedance phase angle of the target tissue, the equivalent resistance and equivalent reactance of the target tissue are calculated respectively; Calculating an equivalent impedance of the RC network based on the equivalent resistance and the equivalent reactance; determining a cutoff frequency of the RC network based on the first response characteristic; Based on the equivalent impedance and the cutoff frequency, the RC network parameters are adjusted to obtain the target bioelectric signal.

4. The RC-based multi-frequency bioelectric signal modulation method according to claim 3, characterized in that: The calculating the equivalent resistance and equivalent reactance of the target tissue based on the monitored impedance amplitude and impedance phase angle of the target tissue includes: R=|Z|·cos(θ) X=|Z|·sin(θ) Where R is the equivalent resistance of the target tissue, |Z| is the impedance amplitude of the target tissue, cos(θ) is the cosine of the phase angle of the target tissue, and sin(θ) is the sine of the phase angle of the target tissue.

5. The RC-based multi-frequency bioelectric signal modulation method according to claim 4, characterized in that: The calculating the equivalent impedance of the RC network based on the equivalent resistance and the equivalent reactance includes: Z RC =R+jX Among them, Z RC is the equivalent impedance of the RC network, which is a complex number, and j is the unit of the imaginary part.

6. The RC-based multi-frequency bioelectric signal modulation method according to claim 4, characterized in that: The determining the cutoff frequency of the RC network based on the first response characteristic includes: determining a frequency range of a target bioelectrical signal based on the first response characteristic; The cutoff frequency of the RC network is determined based on the frequency range of the target bioelectric signal.

7. The RC-based multi-frequency bioelectric signal modulation method according to claim 4, characterized in that: The step of adjusting the RC network parameters based on the equivalent impedance and the cutoff frequency to obtain the target bioelectric signal includes: adjusting the resistance value of the variable resistor in the RC network based on the equivalent impedance to match the impedance of the RC network with the equivalent impedance; According to the cutoff frequency, the capacitance value of the variable capacitor in the RC network is adjusted to match the second response characteristic of the RC network with the first response characteristic.

8. A multi-frequency bioelectric signal modulation device based on RC, characterized in that: include: An acquisition module, configured to acquire a bioelectric-like signal and digitally process the bioelectric-like signal; An input module, used to input the digitally processed bioelectrical signal into a pre-built RC network; The obtaining module is used to adjust the RC network parameters based on the monitored bioelectric characteristics of the target tissue to obtain the target bioelectric 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 RC-based multi-frequency bioelectric signal modulation 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 RC-based multi-frequency bioelectric signal modulation method according to any one of claims 1 to 7.

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