1 results about "Common spatial pattern" patented technology

The method comprises: acquiring an electroencephalogram signal to be classified; performing feature extraction on the electroencephalogram signal to be classified in parallel through a one-to-many filter bank common spatial pattern network and a residual convolutional neural network, and outputting first feature information and second feature information of the electroencephalogram signal to be classified; performing feature relearning on the first feature information and the second feature information in parallel through a dynamic graph convolutional neural network and a gated recurrent neural network, and outputting third feature information and fourth feature information of the electroencephalogram signal to be classified; performing feature fusion on the third feature information and the fourth feature information simultaneously through an attention network to obtain target feature information of the electroencephalogram signal to be classified; and obtaining a target classification result of the electroencephalogram signal to be classified according to the target feature information through a prediction network.