CN-121337374-B - Signal processing method, implantable closed-loop nerve stimulation system and storage medium

CN121337374BCN 121337374 BCN121337374 BCN 121337374BCN-121337374-B

Abstract

The embodiment of the application relates to the technical field of medical equipment and discloses a signal processing method, an implanted closed-loop nerve stimulation system and a storage medium, wherein the method comprises the steps of calculating characteristic change indexes of at least two dimensions according to target brain electrical signals; the method comprises the steps of determining a current processing strategy according to characteristic change indexes of at least two dimensions, generating a first control instruction under the condition that the current processing strategy is the first strategy, wherein the first control instruction is used for indicating to output a first electric stimulation signal according to a fixed first group of stimulation parameters, generating a second control instruction under the condition that the current processing strategy is the second strategy, wherein the second control instruction is used for indicating to output a second electric stimulation signal according to a dynamically adjusted second group of stimulation parameters, and each stimulation parameter in the dynamically adjusted second group of stimulation parameters is calculated according to the modulation condition of the target electroencephalogram signal by the previous stimulation parameter.

Inventors

ZHAO GUOGUANG
CAO PENG
SHAN YONGZHI

Assignees

首都医科大学宣武医院
杭州诺为医疗技术有限公司

Dates

Publication Date: 20260505
Application Date: 20251215

Claims (9)

1. An implantable closed-loop nerve stimulation system, the implantable closed-loop nerve stimulation system comprising: the characteristic index module is used for calculating characteristic change indexes of at least two dimensions according to a target electroencephalogram signal, wherein the target electroencephalogram signal is an electroencephalogram signal conforming to a target signal mode, and the characteristic change indexes comprise a plurality of first characteristic indexes based on signal frequency domain energy change under a target frequency band, second characteristic indexes based on signal complexity change, third characteristic indexes based on signal amplitude change, fourth characteristic indexes based on target electroencephalogram signal propagation speed change, fifth characteristic indexes based on target electroencephalogram signal propagation range change, sixth characteristic indexes based on signal dominant frequency change and seventh characteristic indexes based on signal spectrum centroid change; The processing strategy module is used for determining a current processing strategy according to the characteristic change indexes of the at least two dimensions, wherein the processing strategy comprises a first strategy and a second strategy; The first processing module is used for generating a first control instruction under the condition that the current processing strategy is the first strategy, wherein the first control instruction is used for indicating to output a first electric stimulation signal according to a fixed first group of stimulation parameters; The system comprises a first processing module, a second processing module and a control module, wherein the first processing module is used for generating a first control instruction under the condition that the current processing strategy is the first strategy, and the first control instruction is used for indicating a target electroencephalogram signal to be modulated according to a first group of dynamically-adjusted stimulation parameters; The response module is used for responding to the second control instruction, circularly adjusting the stimulation parameters to generate a second group of stimulation parameters which dynamically change, outputting a second electric stimulation signal according to the second group of stimulation parameters until the second electric stimulation signal meets the target condition, and stopping outputting the second electric stimulation signal, wherein the following steps are executed in each cycle process: Collecting an electroencephalogram response signal after the last electric stimulation signal is output; calculating characteristic change indexes of the at least two dimensions according to the electroencephalogram response signals; determining the adjustment quantity of the stimulation parameters according to the characteristic change indexes of the at least two dimensions; and adjusting the stimulation parameters according to the stimulation parameter adjustment amount, and outputting a second electric stimulation signal based on the adjusted stimulation parameters.
2. The implantable closed-loop neurostimulation system of claim 1, further comprising a detection module for: detecting an electroencephalogram signal to be detected through a first detection algorithm to obtain a first detection result; Detecting the electroencephalogram signal to be detected again through a second detection algorithm under the condition that the first detection result shows that the target signal mode is met, so as to obtain a second detection result, wherein the sensitivity of the first detection algorithm is higher than that of the second detection algorithm, and the accuracy of the second detection algorithm is higher than that of the first detection algorithm; And under the condition that the second detection result represents a target signal mode, determining that the electroencephalogram signal to be detected is the target electroencephalogram signal.
3. The implantable closed-loop nerve stimulation system according to claim 1, wherein the implantable closed-loop nerve stimulation system further comprises: And the third processing module is used for generating a third control instruction when the current processing strategy is the second strategy and the fourth characteristic index is larger than the target speed threshold, wherein the third control instruction is used for indicating to output a third electric stimulation signal in a mode of increasing the stimulation frequency.
4. The implantable closed-loop nerve stimulation system according to claim 1, wherein the implantable closed-loop nerve stimulation system further comprises: And the fourth processing module is used for generating a fourth control instruction when the current processing strategy is the second strategy and the fifth characteristic index is larger than a target range threshold value, wherein the fourth control instruction is used for indicating to switch to a multi-point stimulation mode covering the origin point of the target electroencephalogram signal.
5. The implantable closed-loop nerve stimulation system of claim 1, wherein the first characteristic index comprises a power variation of the high-frequency oscillation HFOs signal compared with a baseline electroencephalogram signal, and the second characteristic index comprises a variation of sample entropy of the electroencephalogram signal compared with the baseline electroencephalogram signal, wherein the baseline electroencephalogram signal is an electroencephalogram signal before the last electrical stimulation output; the response module is specifically configured to: Carrying out weighted summation on the normalized value of the first characteristic index and the normalized value of the second characteristic index to obtain an evaluation score; and determining a stimulation parameter adjustment amount according to the evaluation score, wherein the stimulation parameter adjustment amount is inversely related to the evaluation score.
6. The implantable closed loop nerve stimulation system according to claim 1, wherein during each cycle, the first time window in which the electroencephalogram response signal is acquired is preceded by an artifact removal time window.
7. The implantable closed-loop nerve stimulation system according to claim 6, further comprising: the system comprises a mapping relation module, a time window and a stimulation parameter interval, wherein the mapping relation module is used for determining the mapping relation between the stimulation parameter interval and the time window, and the average value of the stimulation parameter interval is positively correlated with the duration of the time window; The mapping selection module is used for selecting a time window corresponding to a target stimulation parameter interval as the artifact eliminating time window, wherein the target stimulation parameter interval comprises the adjusted stimulation parameters.
8. The implantable closed loop nerve stimulation system according to claim 1, wherein the target conditions include at least one of: The number of times of outputting the electric stimulation signals in the first duration reaches a time threshold; the total amount of charge injected during the second period reaches a charge threshold; the time period from the first output of the electrical stimulation signal reaches a time period threshold.
9. A signal processing system comprising an implantable closed loop neurostimulation system of any one of claims 1 to 8.

Description

Signal processing method, implantable closed-loop nerve stimulation system and storage medium Technical Field The application relates to the technical field of medical instruments, in particular to a signal processing method, an implantable closed-loop nerve stimulation system and a storage medium. Background The implanted closed-loop nerve stimulation system has great development prospect as an advanced medical instrument at present. Currently, the operation of an implantable closed-loop neural stimulation system is usually to output electrical stimulation according to preset stimulation parameters when a target condition is monitored. However, the above-mentioned operation mode of the implanted closed-loop nerve stimulation system has the disadvantages of simple logic and strong safety, that is, the operation mode of the implanted closed-loop nerve stimulation system is not flexible enough. Disclosure of Invention The embodiment of the application provides a signal processing method, an implanted closed-loop nerve stimulation system and a storage medium, which are used for solving the problem of poor working mode flexibility of the implanted closed-loop nerve stimulation system in the prior art. In order to solve the above problems, an embodiment of the present application discloses a signal processing method, which is applied to a signal processing system, and the signal processing method includes: Calculating characteristic change indexes of at least two dimensions according to a target electroencephalogram signal, wherein the target electroencephalogram signal is an electroencephalogram signal conforming to a target signal mode, and the characteristic change indexes comprise a plurality of first characteristic indexes based on signal frequency domain energy change under a target frequency band, second characteristic indexes based on signal complexity change, third characteristic indexes based on signal amplitude change, fourth characteristic indexes based on target electroencephalogram signal propagation speed change, fifth characteristic indexes based on target electroencephalogram signal propagation range change, sixth characteristic indexes based on signal dominant frequency change and seventh characteristic indexes based on signal spectrum centroid change; determining a current processing strategy according to the characteristic change indexes of the at least two dimensions, wherein the processing strategy comprises a first strategy and a second strategy; Generating a first control instruction under the condition that the current processing strategy is the first strategy, wherein the first control instruction is used for indicating to output a first electric stimulation signal according to a fixed first group of stimulation parameters; and generating a second control instruction under the condition that the current processing strategy is the second strategy, wherein the second control instruction is used for indicating to output a second electric stimulation signal according to a second group of dynamically adjusted stimulation parameters, and each stimulation parameter in the second group of dynamically adjusted stimulation parameters is calculated according to the modulation condition of the previous stimulation parameter on the target electroencephalogram signal. The embodiment of the application also discloses an implantable closed-loop nerve stimulation system, which comprises: the characteristic index module is used for calculating characteristic change indexes of at least two dimensions according to a target electroencephalogram signal, wherein the target electroencephalogram signal is an electroencephalogram signal conforming to a target signal mode, and the characteristic change indexes comprise a plurality of first characteristic indexes based on signal frequency domain energy change under a target frequency band, second characteristic indexes based on signal complexity change, third characteristic indexes based on signal amplitude change, fourth characteristic indexes based on target electroencephalogram signal propagation speed change, fifth characteristic indexes based on target electroencephalogram signal propagation range change, sixth characteristic indexes based on signal dominant frequency change and seventh characteristic indexes based on signal spectrum centroid change; The processing strategy module is used for determining a current processing strategy according to the characteristic change indexes of the at least two dimensions, wherein the processing strategy comprises a first strategy and a second strategy; The first processing module is used for generating a first control instruction under the condition that the current processing strategy is the first strategy, wherein the first control instruction is used for indicating to output a first electric stimulation signal according to a fixed first group of stimulation parameters; The system comprises a first processing module,