Intelligent rehabilitation wheelchair based on brain-computer interface and control method thereof

Abstract

The application relates to the technical field of brain-computer interfaces, and discloses an intelligent rehabilitation wheelchair based on a brain-computer interface and a control method thereof, wherein the method comprises the following steps: S1: collecting a first electroencephalogram signal of a user's motor cortex, pre-processing the first electroencephalogram signal, and obtaining a second electroencephalogram signal; S2: classifying the second electroencephalogram signal, decoding a wheelchair motion instruction, and calculating a cognitive load level according to the second electroencephalogram signal; and S3: generating a wheelchair speed parameter and a wheelchair turning radius according to the cognitive load level, and driving a wheelchair motor to perform a corresponding motion action based on the wheelchair motion instruction, the wheelchair speed parameter and the wheelchair turning radius. The method improves the motion intention decoding accuracy and reduces the decoding delay, and solves the problem of insufficient decoding performance caused by signal redundancy of a traditional model.

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