Disclosed is a motor imagery based electrocephalogram recognition method, system, equipment and a medium. The method includes the following steps: obtaining original electrocephalogram of multiple channels from an electrocephalogram sensor; filtering the original electrocephalogram and filtering out unrelated signals to obtain electrocephalogram filtering signals; decomposing the electrocephalogram filtering signals in each channel into a preset number of signal components according to a preset decomposition method; calculating the signal component in each channel according to reference leadsto obtain a component screening value, screening the signal components according to the component screening value, and adding the screened signal components of all channels to obtain recombination signals of all channel; extracting feature information in the recombination signals according to a common spatial pattern; and classifying signal samples of the feature information by using a linear support vector machine, and recognizing category information of the recombination signals of all channels according to the categories of the signal samples and sending the information. The method screensthe signals related to a task in the electrocephalogram of different individuals, removes the signals unrelated to the task, and improves the recognition accuracy of the electrocephalogram in a braincomputer interface.
Motor imagery based electrocephalogram recognition method, system, equipment and medium