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2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)
Electrocorticogram (ECoG)-based brain computer interfaces (BCI) can potentially control upper extremity prostheses to restore independent function to paralyzed individuals. However, current research is mostly restricted to the offline decoding of finger or 2D arm movement trajectories, and these results are modest. This study seeks to improve the fundamental understanding of the ECoG signal features underlying upper extremity movements to guide better BCI design. Subjects undergoing ECoGdoi:10.1109/ner.2013.6696212 fatcat:o4l22czufneqppimct43fc377u