We develop a brain-machine interface for the hand-motor rehabilitation of stroke patients. The interface provides both visual and proprioceptive feedback to the user based upon the successful generation of cortical motor commands. We discuss the details of the proposed system and provide a summary of the preliminary experiment. The experiment investigates the importance of simultaneous visual and proprioceptive feedback to the delivery of motor commands from the affected motor cortex of the patients. We also discuss a case study involving a chronic stroke patient who trained with the system for 14 days to recover functional movement in the hand. The results obtained by this study suggest that the developed system is effective at accelerating the recovery of motor function in stroke patients with hand paralysis.
Published in: Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016 Asia-Pacific
Date of Conference: 13-16 Dec. 2016
Date Added to IEEE Xplore: 19 January 2017
Electronic ISBN: 978-9-8814-7682-1
Print on Demand(PoD) ISBN: 978-1-5090-2401-8