An Improved CSP Algorithm and Application in Motor Imagery Recognition

An improved common special pattern (CSP) algorithm was proposed to improve classification accuracy of motor imagery electroencephalograph (EEG) in a brain-computer interface (BCI) system. Three channels EEGs were filtered through the time window and band-pass filter to obtain the most obvious features of event-related desynchronization and event-related synchronization. Improved CSP algorithm combined with support vector machine (SVM) as adopted for the classification of motor imagery EEGs. The experiment results show that the improved CSP algorithm can avoid the repetitive eigenvector selection and discriminate the left hand and right hand mental task more accurately than the traditional CSP.