Analysis and visualization of movement related EEG activities using local discriminant bases

IEEE Engineering in Medicine and Biology Society;National Science Foundation;Institute of Physics;Office of Naval Research Global2nd International IEEE EMBS Conference on Neural Engineering, 2005 --16 March 2005 through 19 March 2005 -- Arlington, VA --We use local cosine packets to adaptively segment EEG corresponding to left or right hand index finger movements. The segmentation is constructed by maximizing the Euclidean or Kullback-Leibler distance criterion between the left and right finger movement. The proposed method divides the movement EEG from the C3 and C4 electrodes into nonuniform time segments over a dyadic tree. The most discriminative features are selected from the pruned tree. We observed that the selected segmentation and discriminative components are subject specific. We believe this may eliminate the inter and intra-subject variability when constructing Brain Computer Interfaces. We also found striking asymmetry between feature characteristics and their discrimination power on each hemisphere. © 2005 IEEE