CN-121337375-B - Signal processing method, implantable closed-loop nerve stimulation system and storage medium

CN121337375BCN 121337375 BCN121337375 BCN 121337375BCN-121337375-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 monitoring an electroencephalogram signal, and generating a first control instruction when the electroencephalogram signal conforming to a target signal mode is identified, wherein the first control instruction is used for indicating to output a first electric stimulation signal according to a first group of stimulation parameters; the method comprises the steps of acquiring an electroencephalogram response signal in a first time window after outputting a first electric stimulation signal, calculating characteristic change indexes of at least two dimensions according to the electroencephalogram response signal, and generating a second control instruction according to the combination of the characteristic change indexes of at least two dimensions and the third decision signal, 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.

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 (8)

1. An implantable closed-loop nerve stimulation system, the implantable closed-loop nerve stimulation system comprising: The monitoring module is used for monitoring the electroencephalogram signals and generating a first control instruction when the electroencephalogram signals conforming to a target signal mode are identified, wherein the first control instruction is used for indicating to output a first electric stimulation signal according to a first group of stimulation parameters; the acquisition module is used for acquiring an electroencephalogram response signal in a first time window after the first electric stimulation signal is output; The processing module is used for receiving the electroencephalogram response signals acquired by the acquisition module and calculating characteristic change indexes of at least two dimensions according to the electroencephalogram response signals, wherein the characteristic change indexes comprise a first characteristic index based on signal frequency domain energy change under a target frequency band, a second characteristic index based on signal complexity change and a third decision signal based on pattern recognition of the electroencephalogram response signals; The processing module is further configured to generate a second control instruction according to a combination of the characteristic variation indexes of at least two dimensions and the third decision signal, where the second control instruction is configured to instruct to output a second electrical stimulation signal according to a dynamically adjusted second set of stimulation parameters; And 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, and outputting a second electric stimulation signal according to the second group of stimulation parameters until the second electric stimulation signal meets the target condition.
2. The implantable closed-loop nerve stimulation system of claim 1, wherein the first characteristic index comprises a power variation of the high-frequency oscillating HFOs signal compared to a target electroencephalogram signal, the second characteristic index comprises a variation of sample entropy of the electroencephalogram signal compared to the target electroencephalogram signal, the target electroencephalogram signal is the electroencephalogram signal conforming to the target signal pattern, and the third decision signal comprises a first signal representing continuation of output of the electric stimulation signal and a second signal representing stop of output of the electric stimulation signal; The processing 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; Generating the second control instruction if the evaluation score is less than a first threshold and the third decision signal is the first signal; And generating a third control instruction under the condition that the evaluation score is larger than a second threshold value and the third decision signal is the second signal, wherein the second threshold value is larger than or equal to the first threshold value, and the third control instruction is used for indicating stopping outputting the electric stimulation signal.
3. The implantable closed loop neurostimulation system of claim 2, wherein the evaluation score is updated during each adjustment of a stimulation parameter, the amount of adjustment of the stimulation parameter being inversely related to the evaluation score.
4. The implantable closed loop nerve stimulation system according to claim 2, 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 length of outputting the first electric stimulation signal reaches a time length threshold value; The first characteristic index reaches a descending threshold value; the second characteristic index reaches a rising threshold.
5. The implantable closed loop nerve stimulation system according to claim 1, wherein there is an artifact removal time window between the output end time of the first electrical stimulation signal and the first time window.
6. The implantable closed-loop nerve stimulation system according to claim 5, 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 configured to select a time window corresponding to a target stimulation parameter interval as the artifact removal time window, where the target stimulation parameter interval includes the first set of stimulation parameters.
7. The implantable closed-loop neurostimulation system of claim 1, further comprising a detection module for: Detecting the monitored brain electrical signals through a first detection algorithm to obtain a first detection result; Detecting the monitored brain electrical signal again through a second detection algorithm under the condition that the first detection result shows that the first detection result accords with a target signal mode 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 determining that the electroencephalogram signal conforming to the target signal mode is identified under the condition that the second detection result indicates conforming to the target signal mode.
8. A signal processing system comprising an implantable closed loop neurostimulation system of any one of claims 1 to 7.

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: monitoring an electroencephalogram signal, and generating a first control instruction when the electroencephalogram signal conforming to a target signal mode is identified, wherein the first control instruction is used for indicating to output a first electric stimulation signal according to a first group of stimulation parameters; collecting an electroencephalogram response signal in a first time window after the first electric stimulation signal is output; Calculating characteristic change indexes of at least two dimensions according to the electroencephalogram response signals, wherein the characteristic change indexes comprise a first characteristic index based on signal frequency domain energy change under a target frequency band, a second characteristic index based on signal complexity change and a third decision signal based on pattern recognition of the electroencephalogram response signals; And generating a second control instruction according to the combination of the characteristic change indexes of at least two dimensions and the third decision signal, 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. The embodiment of the application also discloses an implantable closed-loop nerve stimulation system, which comprises: the monitoring module is used for monitoring the electroencephalogram signals and generating a first control instruction when the electroencephalogram signals conforming to a target signal mode are identified, wherein the first control instruction is used for indicating to output a first electric stimulation signal according to a first group of stimulation parameters; the acquisition module is used for acquiring an electroencephalogram response signal in a first time window after the first electric stimulation signal is output; The processing module is used for receiving the electroencephalogram response signals acquired by the acquisition module and calculating characteristic change indexes of at least two dimensions according to the electroencephalogram response signals, wherein the characteristic change indexes comprise a first characteristic index based on signal frequency domain energy change under a target frequency band, a second characteristic index based on signal complexity change and a third decision signal based on pattern recognition of the electroencephalogram response signals; The processing module is further configured to generate a second control instruction according to a combination of the characteristic variation index of at least two dimensions and the third decision signal, where the second control instruction is configured to instruct outputting a second electrical stimulation signal according to a dynamically adjusted second set of stimulation parameters. The embodiment of the application also discloses a signal processing system which comprises the implantable closed-loop nerve stimulation system. Embodiments of the present application also disclose a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs a method as described in one or more of the embodiments of the present application. Embodiments of the application also disclose a computer program product comprising a computer program which, when executed by a processor, implements a method as described in one or more of the embodiments of the application. The technical scheme provided by the embodiment of the