Noninvasive control of a robotic arm in multiple dimensions using scalp electroencephalogram

Bryan S. Baxter, Andrew Decker, Bin He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Robotic limbs can enable individuals with impaired mobility and motor system output to interact with their physical environment. Many of these individuals do not have the motor control necessary to utilize their hands to control an assistive device. We hypothesize both healthy and post-stroke individuals can modulate sensorimotor rhythms with motor imagery to control of a human-size robotic arm and hand to complete multi-step grasping tasks using noninvasive EEG signals. Two healthy and one post-stroke subject controlled a robotic arm in two-dimensions to move to a target, grab the target block, and move it to a final location using motor imagery recorded through scalp EEG. Subjects demonstrate successful control of a robotic arm in 2D performance of a multi-step task in a time-limited manner.

Original languageEnglish (US)
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages45-47
Number of pages3
DOIs
StatePublished - 2013
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

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