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EEG based automatic left-right hand movement classification

As a research focus in bio-rehabilitation field, Brain-Computer Interface that can efficiently improve or recover self-care ability of disabled people has obtained fast development in recent years. In this paper, the phenomenon of event-related de-synchronization in EEG was pre-processed and features were extracted by using common space pattern filtering algorithm. Higher classification accuracy was then obtained by employing C-SVM for left-right hand movement discrimination. Since the effectiveness and simplicity of the proposed scheme, it can be used as an on-line classification algorithm in BCI system.