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Method and device for removing stimulation artifacts of neural signals in real time and medium

A neural signal and artifact technology, used in implanted stimulators, medical science, physical therapy, etc., can solve the problems of inaccurate reconstruction signals, unclean artifact removal, low noise robustness, etc. The effect of accuracy, low distortion and accurate recording results

Active Publication Date: 2021-11-26
FUDAN UNIV
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Problems solved by technology

The core factor of the template subtraction algorithm is the correct estimation of the artifact template. The deviation of the template estimation will lead to unclean artifact removal or even introduce new noise.
Therefore, although template subtraction (template subtraction) methods have the potential to be used in real-time processing, they are less robust to noise due to the inaccuracy of the reconstructed signal

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  • Method and device for removing stimulation artifacts of neural signals in real time and medium
  • Method and device for removing stimulation artifacts of neural signals in real time and medium
  • Method and device for removing stimulation artifacts of neural signals in real time and medium

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Embodiment Construction

[0039] In order to make the above purpose, features and advantages of the present application more obvious and understandable, the specific implementation manners of the present application will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only some structures related to the present application are shown in the drawings but not all structures. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0040]The terms "comprising" and "having" and any variations thereof in this application are intended to cover a non-exclusive inclusion. For example, a process, method, sy...

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Abstract

The invention discloses a method and device for removing stimulation artifacts of neural signals in real time and a medium. The method comprises the following steps: S1, obtaining neural digital signals; S2, obtaining the duration of the stimulation artifacts; S3, detecting a peak value of the neural digital signal to obtain a first artifact interval where the current peak value is located, and predicting a second artifact interval where the next peak value is located and a non-artifact interval located between the first artifact interval and the second artifact interval; and S4, judging whether the current sampling time is in the non-artifact interval or not; and if not, acquiring the neural digital signal value of an irregular sampling point after the current artifact interval, and calculating the neural digital signal value of the current sampling point according to the neural digital signal value of the sampling point before the current artifact interval and the neural digital signal value of the irregular sampling point. According to the method for removing the stimulation artifacts of the neural signals in real time in the invention, the stimulation artifacts can be removed in real time; and the more accurate neural signals are obtained.

Description

technical field [0001] The invention relates to the technical field of electrical stimulation, in particular to a method for removing stimulation artifacts from nerve signals in real time, a device for removing stimulation artifacts from nerve signals in real time, and a computer-readable storage medium. Background technique [0002] Deep Brain Stimulation (DBS), also known as deep brain stimulation, has been clinically applied to the surgical treatment of various diseases, and has shown its effectiveness in long-term follow-up records. During deep brain stimulation, the neural signals recorded by various sensors provide important research data for the study of the mechanism of the disease. The neural signal can be, for example, a field potential signal, an EEG signal, a single neuron signal, or a dopamine concentration signal. Since the stimulating signal has a large amplitude, stimulation artifacts are likely to occur in the neural signal recorded by the sensor. [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/24A61B5/369A61N1/36A61B5/00
CPCA61B5/24A61B5/369A61B5/7203A61N1/3605
Inventor 郭轩君王守岩聂英男李霄
Owner FUDAN UNIV
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