Composite signal control method, device and equipment for nerve stimulation and storage medium

Abstract

The invention relates to the technical field of signal processing, and provides a composite signal control method and device for nerve stimulation, equipment and a storage medium. The composite signal control method for nerve stimulation comprises the following steps: outputting an initial composite signal to a target neuron; acquiring response signals of the target neurons in real time and extracting key features; and based on the key features, adjusting signal parameters of the initial composite signal to obtain a target composite signal and outputting the target composite signal. Response signals of target neurons are collected in real time, key features are extracted, initial composite signals are adjusted according to the key features, the response signals are continuously collected in the whole process essentially, signal parameters are adjusted, and the purpose of improving the dynamic adjustment capacity and optimization accuracy of the composite frequency modulation signals is achieved. Therefore, the nerve cell excitability is stimulated by using the composite frequency modulation signal.

Description

Technical Field

[0001] The present invention relates to the field of signal processing technology, and in particular to a composite signal control method, device, equipment and storage medium for neural stimulation. Background Art

[0002] Regulation of nerve cell excitability is of great significance for the treatment of nervous system-related diseases. Existing neuromodulation methods mainly include drug therapy and electrical stimulation regulation. However, drug therapy has the disadvantages of large side effects and strong individual differences, while traditional single-frequency or constant-frequency electrical stimulation methods have limitations in the accuracy of regulation and the durability of the effect.

[0003] In recent years, studies have found that compound frequency modulation signals can stimulate nerve cells more effectively. Through signals with specific frequency combinations, the excitability of neural networks can be affected more accurately, while effectively reducing the side effects caused by stimulation. However, the existing compound frequency modulation signal methods lack a dynamic adjustment mechanism, especially in the treatment of chronic pain relief. The parameters of the compound frequency modulation signal (including fundamental frequency, harmonic frequency, amplitude, phase, modulation depth, etc.) are complex to design and involve multi-dimensional optimization, resulting in a long optimization cycle and low accuracy. Therefore, when using compound frequency modulation signals to regulate the excitability of nerve cells, how to improve the dynamic adjustment ability and optimization accuracy of the compound frequency modulation signal is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The embodiments of the present application provide a composite signal control method, apparatus, device and storage medium for neural stimulation, aiming to enhance the dynamic adjustment capability and optimization accuracy of the composite frequency modulation signal so as to utilize the composite frequency modulation signal to stimulate the excitability of nerve cells.

[0005] In a first aspect, an embodiment of the present application provides a composite signal control method for neural stimulation, comprising: outputting an initial composite signal to a target neuron; collecting response signals of the target neuron in real time and extracting key features; based on the key features, adjusting signal parameters of the initial composite signal to obtain and output a target composite signal.

[0006] In a second aspect, an embodiment of the present application provides a composite signal control device for neural stimulation, including: an output module for outputting an initial composite signal to a target neuron; an acquisition module for acquiring response signals of the target neuron in real time and extracting key features; and an adjustment module for adjusting signal parameters of the initial composite signal based on the key features to obtain and output a target composite signal.

[0007] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0008] Memory and processing modules;

[0009] The memory is used to store computer programs;

[0010] The processing module is used to execute the computer program and implement the steps of the composite signal control method for neural stimulation in the first aspect when executing the computer program.

[0011] 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;

[0012] When the computer program is executed by one or more processing modules, the one or more processing modules are caused to perform the steps of the composite signal control method for neural stimulation in the first aspect as described above.

[0013] The embodiments of the present application provide a composite signal control method, device, equipment and storage medium for neural stimulation, wherein the composite signal control method for neural stimulation includes: outputting an initial composite signal to a target neuron; collecting the response signal of the target neuron in real time and extracting key features; adjusting the signal parameters of the initial composite signal based on the key features, obtaining the target composite signal and outputting it. By collecting the response signal of the target neuron in real time and extracting key features, and then adjusting the initial composite signal according to the key features, the entire process essentially continuously collects the response signal and adjusts the signal parameters, aiming to improve the dynamic adjustment capability and optimization accuracy of the composite frequency modulation signal, so as to use the composite frequency modulation signal to stimulate the excitability of nerve cells. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0015] Figure 1 A schematic flow chart of a composite signal control method for neural stimulation provided in an embodiment of the present application;

[0016] Figure 2 A schematic diagram of the structure of a composite signal control device for neural stimulation provided in an embodiment of the present application;

[0017] Figure 3 A schematic block diagram of a composite signal control device for neural stimulation provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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 creative work are within the scope of protection of the present invention.

[0019] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0020] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0021] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0022] The technical solution provided by this application will be described in detail below with reference to the accompanying drawings.

[0023] See also Figure 1 , Figure 1 The present invention provides a flow chart of a composite signal control method for neural stimulation provided in an embodiment of the present invention. The composite signal control method for neural stimulation provided in an embodiment of the present invention is implemented by a composite signal control device for neural stimulation. The present invention does not impose any limitation on the composite signal control device for neural stimulation. Specifically, Figure 1 As shown, the composite signal control method for nerve stimulation includes steps S101 to S104. The details are as follows:

[0024] S101: Output an initial composite signal to the target neuron.

[0025] In the rehabilitation treatment of nerve stimulation, the initial composite signal can be a combination of pulses sent to neurons by an electrical stimulation device, directly acting on the target neurons to produce a specific response. Specifically, the initial composite signal is generated by combining multiple pulse components of frequency and amplitude to meet the basic stimulation requirements of a specific neuron. Exemplarily, the initial signal can be expressed as: Among them, A iis the amplitude of the ith pulse component, f i is the frequency of the i-th pulse component, φ i is the phase of the i-th pulse component.

[0026] S102: Collect the response signals of the target neurons in real time and extract key features.

[0027] Use electrodes or sensors to collect the response signals of target neurons after being stimulated by the initial composite signal in real time, filter the collected response signals to remove noise, use Fourier transform to analyze the frequency characteristics of the response signals, and extract key features. Specifically, the key features include: frequency, amplitude, and firing rate of the response signal. Among them, the frequency of the response signal is used to simulate the main frequency of the neural signal, the amplitude is used to simulate the amplitude of the neural signal, and the firing rate is used to indicate the number of discharges of the neuron per second, which can be specifically the number of corresponding response signal spikes in a given time window. Among them, the response signal spike refers to the amplitude corresponding to the amplitude in the response signal when it exceeds the preset threshold.

[0028] S103: Based on the key features, adjust the signal parameters of the initial composite signal to obtain and output the target composite signal.

[0029] Based on the key features, the parameters of the initial composite signal are adjusted to obtain the target composite signal, including: calculating the current response level of the response signal according to the frequency, amplitude and emission rate of the response signal; based on the current response level, adjusting the parameters of the initial composite signal to obtain the target composite signal.

[0030] The current response level of the response signal includes: frequency response level, amplitude response level and firing rate response level; the current response level of the response signal is calculated according to the frequency, amplitude and firing rate of the response signal, including: calculating the frequency response level of the response signal according to the frequency of the response signal and the target frequency; calculating the amplitude response level of the response signal according to the amplitude of the response signal and the target amplitude; calculating the firing rate response level of the response signal according to the response firing rate of the response signal and the target firing rate.

[0031] Based on the current response level, the parameters of the initial composite signal are adjusted, including: if the frequency response level is greater than a preset first difference, the fundamental frequency and harmonic frequencies of the initial composite signal are adjusted based on the frequency response level; if the amplitude response level is greater than a preset second difference, the amplitude of the initial composite signal is adjusted based on the amplitude response level; if the firing rate response level is greater than a preset third difference, the modulation depth of the initial composite signal is adjusted based on the firing rate response level.

[0032] If the frequency response level is greater than the preset first difference, adjusting the fundamental frequency and harmonic frequencies of the initial composite signal based on the frequency response level includes:

[0033] f base =f base +α f ·(f target -f currert )

[0034] f harmonic =f harmonic +α h ·(f target -f currert )

[0035] Among them, f base is the fundamental frequency of the initial composite signal, f harmonic is the harmonic frequency of the initial composite signal, f currert is the frequency of the response signal, f target is the target frequency, α f is the fundamental frequency adjustment coefficient, α h is the harmonic frequency adjustment coefficient.

[0036] If the amplitude response level is greater than the preset second difference, adjusting the amplitude of the initial composite signal based on the amplitude response level, including:

[0037] A=A·(1+β a ·(A target -A current ))

[0038] Where A is the amplitude of the initial composite signal, β a is the amplitude adjustment coefficient, A target is the target amplitude, A current is the amplitude of the response signal.

[0039] If the firing rate response level is greater than a preset third difference, adjusting the modulation depth of the initial composite signal based on the firing rate response level, including:

[0040] D=D·(1+β d ·(R target -R current ))

[0041] Where D is the modulation depth of the initial composite signal, β d is the modulation depth adjustment factor, R target is the target release rate, R current is the response emission rate of the response signal.

[0042] It should be noted that modulation depth refers to the intensity of the modulation amplitude or frequency change in signal modulation, which affects the fundamental frequency adjustment coefficient, harmonic frequency adjustment coefficient, and amplitude adjustment coefficient. It is usually greater than or equal to 0 and less than or equal to 1. When the modulation depth is 0, it means no modulation, and when the modulation depth is 1, it means full modulation.

[0043] The modulation depth affects the discharge behavior of neurons by changing the amplitude or frequency of the composite signal, thereby affecting the discharge rate. If the response discharge rate is much lower than the target discharge rate, and the corresponding response level is greater than the preset third difference, it means that the modulation depth D needs to be increased to enhance the stimulation intensity and induce the neurons to produce a higher discharge frequency. In other cases, the current modulation depth can be maintained to avoid frequent changes in the stimulation signal, resulting in poor experience.

[0044] According to the signal parameters of the adjusted composite signal, a target composite signal is generated and outputted.

[0045] Through the above analysis, it can be known that the composite signal control method for neural stimulation provided by the embodiment of the present application includes: outputting an initial composite signal to the target neuron; collecting the response signal of the target neuron in real time and extracting key features; adjusting the signal parameters of the initial composite signal based on the key features, obtaining the target composite signal and outputting it. By collecting the response signal of the target neuron in real time and extracting key features, and then adjusting the initial composite signal according to the key features, the entire process essentially continuously collects the response signal and adjusts the signal parameters, aiming to improve the dynamic adjustment capability and optimization accuracy of the composite frequency modulation signal, so as to use the composite frequency modulation signal to stimulate the excitability of nerve cells.

[0046] See also Figure 2 As shown, Figure 2 This is a schematic diagram of the structure of a composite signal control device for neural stimulation provided in an embodiment of the present application. Figure 2 It can be seen that the composite signal control device 20 for nerve stimulation provided in the embodiment of the present application includes:

[0047] The output module 201 is used to output the initial composite signal to the target neuron.

[0048] The acquisition module 202 is used to acquire the response signal of the target neuron in real time and extract key features.

[0049] The adjustment module 203 is used to adjust the signal parameters of the initial composite signal based on the key features to obtain and output the target composite signal.

[0050] In one embodiment, the key features include: frequency, amplitude, and firing rate of the response signal.

[0051] The adjustment module 203 includes:

[0052] A first calculation unit, used for calculating a current response level of the response signal according to the frequency, amplitude and emission rate of the response signal;

[0053] The adjustment unit is used to adjust the parameters of the initial composite signal based on the current response level to obtain the target composite signal.

[0054] In one embodiment, the current response level of the response signal includes a frequency response level, an amplitude response level, and a firing rate response level;

[0055] The first computing unit comprises:

[0056] A first calculation subunit, configured to calculate a frequency response level of the response signal according to the frequency of the response signal and the target frequency;

[0057] A second calculation subunit, used for calculating an amplitude response level of the response signal according to the amplitude of the response signal and the target amplitude;

[0058] The third calculation subunit is used to calculate the firing rate response level of the response signal according to the response firing rate and the target firing rate of the response signal.

[0059] In one embodiment, the adjustment unit includes:

[0060] A first adjustment subunit, configured to adjust the fundamental frequency and harmonic frequencies of the initial composite signal based on the frequency response level if the frequency response level is greater than a preset first difference;

[0061] a second adjustment subunit, configured to adjust the amplitude of the initial composite signal based on the amplitude response level if the amplitude response level is greater than a preset second difference;

[0062] The third adjustment subunit is configured to adjust the modulation depth of the initial composite signal based on the firing rate response level if the firing rate response level is greater than a preset third difference value.

[0063] In one embodiment, the first adjustment subunit is specifically configured to:

[0064] f base =f base +α f ·(f target -f currert )

[0065] f harmonic =f harmonic +α h ·(f target -f currert )

[0066] Among them, f base is the fundamental frequency of the initial composite signal, fharmonic is the harmonic frequency of the initial composite signal, f currert is the frequency of the response signal, f target is the target frequency, α f is the fundamental frequency adjustment coefficient, α h is the harmonic frequency adjustment coefficient.

[0067] In one embodiment, the second adjustment subunit is specifically configured to:

[0068] A=A·(1+β a ·(A target -A current ))

[0069] Where A is the amplitude of the initial composite signal, β a is the amplitude adjustment coefficient, A target is the target amplitude, A current is the amplitude of the response signal.

[0070] In one embodiment, the third adjustment subunit is specifically configured to:

[0071] D=D·(1+β d ·(R target -R current ))

[0072] Where D is the modulation depth of the initial composite signal, β d is the modulation depth adjustment factor, R target is the target release rate, R current is the response emission rate of the response signal.

[0073] 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.

[0074] See also Figure 3 As shown, Figure 3 A schematic block diagram of a composite signal control device for neural stimulation provided in an embodiment of the present application.

[0075] Exemplarily, the composite signal control device 30 for neural stimulation includes a processing module 301 and a memory 302 .

[0076] Exemplarily, the processing module 301 and the memory 302 are connected via a bus 303 , and the bus 303 is, for example, an I2C (Inter-integrated Circuit) bus.

[0077] Specifically, the processing module 301 may be a micro-controller unit (MCU), a central processing unit (CPU) or a digital signal processing module (DSP).

[0078] 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.

[0079] The processing module 301 is used to run the computer program stored in the memory 302, and implement the steps of the composite signal control method for neural stimulation when executing the computer program.

[0080] Exemplarily, the processing module 301 is used to run the computer program stored in the memory 302, and implement the following steps when executing the computer program:

[0081] Output an initial composite signal to the target neuron;

[0082] Collect the response signals of target neurons in real time and extract key features;

[0083] Based on the key features, the signal parameters of the initial composite signal are adjusted to obtain the target composite signal and output it.

[0084] In one embodiment, the key features include: frequency, amplitude, and firing rate of the response signal.

[0085] Based on the key features, the parameters of the initial composite signal are adjusted to obtain the target composite signal, including: calculating the current response level of the response signal according to the frequency, amplitude and emission rate of the response signal; based on the current response level, adjusting the parameters of the initial composite signal to obtain the target composite signal.

[0086] In one embodiment, the current response level of the response signal includes a frequency response level, an amplitude response level and a firing rate response level; the current response level of the response signal is calculated based on the frequency, amplitude and firing rate of the response signal, including: calculating the frequency response level of the response signal based on the frequency of the response signal and the target frequency; calculating the amplitude response level of the response signal based on the amplitude of the response signal response and the target amplitude; calculating the firing rate response level of the response signal based on the response firing rate of the response signal and the target firing rate.

[0087] In one embodiment, the parameters of the initial composite signal are adjusted based on the current response level, including: if the frequency response level is greater than a preset first difference, adjusting the fundamental frequency and harmonic frequencies of the initial composite signal based on the frequency response level; if the amplitude response level is greater than a preset second difference, adjusting the amplitude of the initial composite signal based on the amplitude response level; if the firing rate response level is greater than a preset third difference, adjusting the modulation depth of the initial composite signal based on the firing rate response level.

[0088] In one embodiment, if the frequency response level is greater than a preset first difference, adjusting the fundamental frequency and harmonic frequencies of the initial composite signal based on the frequency response level includes:

[0089] f base =f base +α f ·(f target -f currert )

[0090] f harmonic =f harmonic +α h ·(f target -f currert )

[0091] Among them, f base is the fundamental frequency of the initial composite signal, f harmonic is the harmonic frequency of the initial composite signal, f currert is the frequency of the response signal, f target is the target frequency, α f is the fundamental frequency adjustment coefficient, α h is the harmonic frequency adjustment coefficient.

[0092] In one embodiment, if the amplitude response level is greater than the preset second difference, adjusting the amplitude of the initial composite signal based on the amplitude response level includes:

[0093] A=A·(1+β a ·(A target -A current ))

[0094] Where A is the amplitude of the initial composite signal, β a is the amplitude adjustment coefficient, A target is the target amplitude, A current is the amplitude of the response signal.

[0095] In one embodiment, if the firing rate response level is greater than a predetermined third difference, adjusting the modulation depth of the initial composite signal based on the firing rate response level includes:

[0096] D=D·(1+β d ·(Rtarget -R current ))

[0097] Where D is the modulation depth of the initial composite signal, β d is the modulation depth adjustment factor, R target is the target release rate, R current is the response emission rate of the response signal.

[0098] The specific principles and implementation methods of the composite signal control device for neural stimulation provided in the embodiments of the present application are similar to those of the composite signal control method for neural stimulation in the aforementioned embodiments, and will not be repeated here.

[0099] The embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by the processing module, the processing module implements the following steps:

[0100] Output an initial composite signal to the target neuron;

[0101] Collect the response signals of target neurons in real time and extract key features;

[0102] Based on the key features, the signal parameters of the initial composite signal are adjusted to obtain the target composite signal and output it.

[0103] In one embodiment, the key features include: frequency, amplitude, and firing rate of the response signal.

[0104] Based on the key features, the parameters of the initial composite signal are adjusted to obtain the target composite signal, including: calculating the current response level of the response signal according to the frequency, amplitude and emission rate of the response signal; based on the current response level, adjusting the parameters of the initial composite signal to obtain the target composite signal.

[0105] In one embodiment, the current response level of the response signal includes a frequency response level, an amplitude response level and a firing rate response level; the current response level of the response signal is calculated based on the frequency, amplitude and firing rate of the response signal, including: calculating the frequency response level of the response signal based on the frequency of the response signal and the target frequency; calculating the amplitude response level of the response signal based on the amplitude of the response signal response and the target amplitude; calculating the firing rate response level of the response signal based on the response firing rate of the response signal and the target firing rate.

[0106] In one embodiment, the parameters of the initial composite signal are adjusted based on the current response level, including: if the frequency response level is greater than a preset first difference, adjusting the fundamental frequency and harmonic frequencies of the initial composite signal based on the frequency response level; if the amplitude response level is greater than a preset second difference, adjusting the amplitude of the initial composite signal based on the amplitude response level; if the firing rate response level is greater than a preset third difference, adjusting the modulation depth of the initial composite signal based on the firing rate response level.

[0107] In one embodiment, if the frequency response level is greater than a preset first difference, adjusting the fundamental frequency and harmonic frequencies of the initial composite signal based on the frequency response level includes:

[0108] f base =f base +α f ·(f target -f currert )

[0109] f harmonic =f harmonic +α h ·(f target -f currert )

[0110] Among them, f base is the fundamental frequency of the initial composite signal, f harmonic is the harmonic frequency of the initial composite signal, f currert is the frequency of the response signal, f target is the target frequency, α f is the fundamental frequency adjustment coefficient, α h is the harmonic frequency adjustment coefficient.

[0111] In one embodiment, if the amplitude response level is greater than the preset second difference, adjusting the amplitude of the initial composite signal based on the amplitude response level includes:

[0112] A=A·(1+β a ·(A target -A current ))

[0113] Where A is the amplitude of the initial composite signal, β a is the amplitude adjustment coefficient, A target is the target amplitude, A current is the amplitude of the response signal.

[0114] In one embodiment, if the firing rate response level is greater than a predetermined third difference, adjusting the modulation depth of the initial composite signal based on the firing rate response level includes:

[0115] D=D·(1+β d ·(Rtarget -R current ))

[0116] Where D is the modulation depth of the initial composite signal, β d is the modulation depth adjustment factor, R target is the target release rate, R current is the response emission rate of the response signal.

[0117] The computer-readable storage medium may be an internal storage unit of the composite signal control device for neural stimulation in the aforementioned embodiment, such as a hard disk or memory of the composite signal control device for neural stimulation. The computer-readable storage medium may also be an external storage device of the composite signal control device for neural stimulation, 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 (Flash Card), etc., equipped on the composite signal control device for neural stimulation.

[0118] It should be understood that the terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0119] It will also be understood that the term "and / or" 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.

[0120] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A composite signal control method for neural stimulation, characterized in that: include: Output an initial composite signal to the target neuron; Collecting the response signal of the target neuron in real time and extracting key features; Based on the key features, the signal parameters of the initial composite signal are adjusted to obtain and output a target composite signal.

2. The composite signal control for neural stimulation according to claim 1, characterized in that: The key features include: frequency, amplitude and firing rate of the response signal; The adjusting the parameters of the initial composite signal based on the key feature to obtain the target composite signal includes: Calculating a current response level of the response signal according to the frequency, the amplitude and the firing rate of the response signal; Based on the current response level, the parameters of the initial composite signal are adjusted to obtain the target composite signal.

3. The composite signal control method for neural stimulation according to claim 2, characterized in that: The current response level of the response signal includes a frequency response level, an amplitude response level, and a firing rate response level; and calculating the current response level of the response signal according to the frequency, the amplitude, and the firing rate of the response signal includes: Calculating a frequency response level of the response signal according to the frequency of the response signal and a target frequency; Calculating the amplitude response level of the response signal according to the amplitude of the response signal and the target amplitude; The firing rate response level of the response signal is calculated according to the response firing rate and the target firing rate of the response signal.

4. The composite signal control method for neural stimulation according to claim 3, characterized in that: The adjusting the parameters of the initial composite signal based on the current response level comprises: If the frequency response level is greater than a preset first difference, adjusting the fundamental frequency and harmonic frequencies of the initial composite signal based on the frequency response level; If the amplitude response level is greater than a preset second difference, adjusting the amplitude of the initial composite signal based on the amplitude response level; If the firing rate response level is greater than a predetermined third difference, the modulation depth of the initial composite signal is adjusted based on the firing rate response level.

5. The composite signal control method for neural stimulation according to claim 4, characterized in that: If the frequency response level is greater than a preset first difference, adjusting the fundamental frequency and harmonic frequency of the initial composite signal based on the frequency response level includes: f base =f base +α f ·(f target -f currert ) f harmonic =f harmonic +α h ·(f target -f currert ) Among them, f base is the fundamental frequency of the initial composite signal, f harmonic is the harmonic frequency of the initial composite signal, f currert is the frequency of the response signal, f target is the target frequency, α f is the fundamental frequency adjustment coefficient, α h is the harmonic frequency adjustment coefficient.

6. The composite signal control method for neural stimulation according to claim 4, characterized in that: If the amplitude response level is greater than a preset second difference, adjusting the amplitude of the initial composite signal based on the amplitude response level comprises: A=A·(1+β a ·(A target -A current )) Where A is the amplitude of the initial composite signal, β a is the amplitude adjustment coefficient, A target is the target amplitude, A current is the amplitude of the response signal.

7. The composite signal control method for neural stimulation according to claim 4, characterized in that: If the firing rate response level is greater than a preset third difference, adjusting the modulation depth of the initial composite signal based on the firing rate response level comprises: D=D·(1+β d ·(R target -R current )) Where D is the modulation depth of the initial composite signal, β d is the modulation depth adjustment factor, R target is the target release rate, R current is the response emission rate of the response signal.

8. A composite signal control device for nerve stimulation, characterized in that: include: An output module, used to output an initial composite signal to a target neuron; An acquisition module, used for acquiring the response signal of the target neuron in real time and extracting key features; The adjustment module is used to adjust the signal parameters of the initial composite signal based on the key feature to obtain and output a target composite 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 composite signal control method for neural stimulation as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program; When the computer program is executed by one or more processing modules, the one or more processing modules are caused to perform the steps of the composite signal control method for neural stimulation as claimed in any one of claims 1 to 7.

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