Classification of Four-Class Motor Imagery EEG Data Using Spatial Filtering
An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks consisting of four different classes, namely the imagination of right hand, left hand, foot and tongue movements. The best correct classification results for the three subjects are 73.3%, 81.7%, and 76.7%.