Distinguishing Between Left and Right Finger Movement from EEG using SVM

A hybrid BSS-SVM method for distinguishing between left and right finger movements from the electroencephalogram (EEG) has been developed. Support vector machines (SVM) is used to effectively classify the extracted features incorporating blind source separation (BSS) and directed transfer functions (DTF). This is the basis for a brain computer interface (BCI). We analyzed 200 trials of 64 electrode EEG data from which we trained the classifier and tested our system. We demonstrated that by classification of such appropriate features we can reliably distinguish between left and right finger movements

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