Electroencephalogram signal processing method and system for cognitive rehabilitation training

Abstract

The embodiment of the invention relates to an electroencephalogram signal processing method and system for cognitive rehabilitation training. The method comprises the steps that a plurality of electroencephalogram signals of a trained person subjected to one-time testing under panoramic videos of multiple scenes are acquired, wherein the electroencephalogram signals contain scene type marks respectively; preprocessing and feature extraction are conducted on the electroencephalogram signals respectively to obtain electroencephalogram features; the change trend of the electroencephalogram features is analyzed to obtain a trend distribution diagram of the sensitivity degree of the trained person to the scenes; and at least one scene is determined according to the trend distribution diagram toserve as a training scene for cognitive rehabilitation training. According to the electroencephalogram signal processing method and system for cognitive rehabilitation training, the electroencephalogram features obtained after preprocessing and feature extraction are analyzed, then at least one scene is determined from the scenes to serve as the training scene for cognitive rehabilitation training, more effective stimulation is conducted on the trained person, and personalized rehabilitation training can be provided for different trained persons.

Description

technical field [0001] The invention relates to the technical field of EEG signal processing, in particular to an EEG signal processing method and system for cognitive rehabilitation training. Background technique [0002] Alzheimer's disease (AD) is a progressive neurodegenerative disease, and its main clinical manifestations are cognitive decline, memory impairment, visual-spatial skill impairment and executive dysfunction. The current situation of Alzheimer's disease urgently needs effective treatment methods. In terms of drug treatment, more than 99% of AD drug trials have ended in failure, and the success rate of the trials is only 1 / 30. [0003] In the traditional physical cognitive training, there is a lack of refined and immersive specific cognitive function training content, and it is impossible to achieve spatial cognition, scene cognition and other training, and it takes up a lot of space, requires a lot of manpower, and lacks understanding of the patient's condit...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the above-mentioned problems in the prior art, the present invention provides an EEG signal processing method and system for cognitive rehabilitation training, which solves the problem that personalized rehabilitation training cannot be provided in the prior art

Images