Motor imagery electroencephalogram feature enhancement method and system

Abstract

The invention relates to a motor imagery electroencephalogram feature enhancement method and system. The enhancement method comprises the following steps: acquiring a multi-mode neural feedback training motor imagery electroencephalogram feature enhancement paradigm; based on the multi-mode neural feedback training motor imagery electroencephalogram feature enhancement normal form, acquiring multi-channel electroencephalogram signals of a pair of a parietal region motor cortex and an occipital region visual cortex; preprocessing the electroencephalogram signals, and determining the preprocessed electroencephalogram signals; conducting dynamic and coupled multi-level feature extraction on the preprocessed electroencephalogram signals, and determining dynamic features and coupling features of the preprocessed electroencephalogram signals; and according to the dynamic features and the coupling features, displaying feature values of the motor imagery electroencephalogram signals before enhancement and feature values of the motor imagery electroencephalogram signals after enhancement. By adopting the enhancement method and system provided by the invention, the recognition rate of effective scalp electroencephalogram signals can be improved.

Description

technical field [0001] The invention relates to the field of electroencephalogram signal enhancement, in particular to a method and system for enhancing motor imagery electroencephalogram features. Background technique [0002] Electroencephalogram (EEG) is the overall reflection of the electrophysiological activity of brain nerve cells on the surface of the cerebral cortex or scalp. EEG signals contain a large amount of physiological and disease information. In clinical medicine, EEG signal processing can not only provide diagnosis basis for some brain diseases, but also provide effective treatment methods for some brain diseases. In terms of engineering applications, people also try to use EEG signals to realize brain-computer interfaces, and use the differences in EEG signals for different sensations, movements or cognitive activities to achieve a certain level of accuracy through effective extraction and classification of EEG signals control purposes. But because the E...

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Problems solved by technology

[0006] The purpose of the present invention is to provide a motor imagery EEG feature enhancement method and system to solve the problem that the existing EEG signal enhancement method is not intuitive, one-sided, and has low assistance in enhancing spontaneous EEG signals. Not obvious, the problem of low recognition rate of scalp EEG effective signal

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