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Electroencephalogram recognition method and system based on graph convolution and gating circulation unit

A technology of cyclic unit and identification method, which is applied in medical science, diagnosis, diagnostic recording/measurement, etc., and can solve the problem of low recognition rate of EEG signals

Active Publication Date: 2021-06-04
重庆兆琨智医科技有限公司
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Problems solved by technology

[0007] In view of the above existing problems in the prior art, the present invention proposes an EEG recognition method and system based on graph convolution and gated recurrent units, which mainly solves the problem of low recognition rate of EEG signals in the prior art

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  • Electroencephalogram recognition method and system based on graph convolution and gating circulation unit
  • Electroencephalogram recognition method and system based on graph convolution and gating circulation unit
  • Electroencephalogram recognition method and system based on graph convolution and gating circulation unit

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Embodiment Construction

[0041] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0042] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides an electroencephalogram recognition method and system based on graph convolution and a gating circulation unit. The method comprises the steps of: obtaining electroencephalogram data, and performing the preprocessing of the electroencephalogram data, wherein the preprocessing includes filtering, benchmark correction, mean value removal, electrooculogram artifact elimination and normalization; and inputting the preprocessed electroencephalogram data into a plurality of graph convolutional networks for relatively independent feature extraction, stacking features extracted by the graph convolutional networks into a feature matrix, inputting the feature matrix into a gating circulation unit for classification and recognition, and outputting a recognition result. According to the invention, the recognition rate of the electroencephalogram signals can be effectively increased.

Description

technical field [0001] The invention relates to the field of intelligent biological medicine, in particular to an EEG recognition method and system based on graph convolution and gated cyclic units. Background technique [0002] Brain-computer interface technology (BCI) is a human-computer interaction technology that can directly communicate with computers or other electronic devices through the human brain. BCI has important research significance and great development potential in the fields of neurorehabilitation, biomedicine, and intelligent robotics. BCI can restore normal brain function by inducing activity-dependent brain plasticity, enabling the diagnosis of epilepsy, direct brain control of robots, artificial prosthetics, etc. It provides the possibility for the disabled to restore normal activities and functions. [0003] The core of BCI is the recognition of electroencephalogram (EEG). EEG can be generally divided into: visual evoked potential (VEP), event-relat...

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Application Information

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IPC IPC(8): A61B5/369
CPCA61B5/7203A61B5/7225A61B5/7264A61B5/726
Inventor 彭德光朱楚洪孙健唐贤伦高崚
Owner 重庆兆琨智医科技有限公司
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