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dc.contributor.authorJannipa Saetangen_US
dc.contributor.authorYunyong Punsawaden_US
dc.contributor.authorYodchanan Wongsawaten_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-10-19T04:50:17Z-
dc.date.available2018-10-19T04:50:17Z-
dc.date.issued2013-12-01en_US
dc.identifier.citationi-CREATe 2013 - International Convention on Rehabilitation Engineering and Assistive Technology, in Conjunction with SENDEX 2013. (2013)en_US
dc.identifier.other2-s2.0-84894562332en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894562332&origin=inwarden_US
dc.identifier.urihttp://repository.li.mahidol.ac.th/dspace/handle/123456789/31579-
dc.description.abstractBrain-computer interface (BCI) system is currently utilized to provide the neuro-rehabilitation especially for the stroke, brain injury, and cerebral palsy patients. In this work, we develop the prototype of the hybrid BCI system that simultaneously employs both motor imagery (MI) potential and steady-state somatosensory evoked potential (SSSEP) for motor and sensation of upper limbs rehabilitation. The MI potential can be observed from the event-related desynchonization (ERD) pattern when the user imagines the right or left hand movement. For the SSSEPbased BCI system, we attach the tactile stimulator at specific frequency of 23 Hz on the palm. The classification accuracy of our SSSEP-based and MI-based neuro-rehabilitation systems are approximately 82.5% and 75.27%, respectively. By systematically employ both systems simultaneously in one device; the rehabilitation process can be enhanced.en_US
dc.rightsMahidol Universityen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894562332&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleReal-time hybrid SSSEP-MI based brain computer interface system for upper limb rehabilitationen_US
dc.typeConference Paperen_US
dc.rights.holderSCOPUSen_US
Appears in Collections:Scopus 2011-2015

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