Brain-machine interface method based on sequence composite limb imaginary movement

The invention discloses a brain-machine interface method based on sequence composite limb imaginary movement. The method comprises the following steps: acquiring an electroencephalogram signal by virtue of a 64 lead electroencephalogram acquisition system, and extracting characteristics from the electroencephalogram signal; screening the characteristics by virtue of recursion supporting a vector machine; respectively adopting the characteristics of lead 1, lead 2,..., lead N according to a sequential index as the input of a classifier, obtaining a recognition rate result under the combination of corresponding leads, wherein the lead combination with the highest recognition rate is the optimum combination. By adopting the method, the command set of the traditional brain-machine interface system based on the simple limb imaginary movement can be enlarged, the multi-command output can be satisfied, compared with the application of total lead characteristics, after the characteristics are screened, the highest accuracy can be acquired by utilizing least lead, and the characteristic dimensions can be effectively reduced.