The Berlin Brain-Computer Interface – Single trial classifications of phantom finger movements of arm amputees

Introduction: The Berlin Brain-Computer interface (BBCI) is based on single-trial classifications of multichannel EEG signals, such as lateralized readiness potentials (LRP), discriminating right vs. left limb movements with accuracies up to 95% in healthy subjects. The current study used 128-channel EEG recordings in patients with traumatic amputations of one arm or hand to compare EEG correlates of real vs. phantom finger/hand movements. Objective: We studied LRPs and event-related desynchronizations (ERDs) associated with phantom movements of amputees over the contralateral primary motor cortex, and analyzed…