title: An EEG-based brain computer interface for rehabilitation and restoration of hand control following stroke using ipsilateral cortical physiology.
abstract: The loss of motor control severely impedes activities of daily life. Brain computer interfaces (BCIs) offer new possibilities to treat nervous system injuries, but conventional BCIs use signals from primary motor cortex, the same sites most likely damaged in a stroke causing paralysis. Recent studies found distinct cortical physiology associated with contralesional limb movements in regions distinct from primary motor cortex. To capitalize on these findings, we designed and implemented a BCI that localizes and acquires these brain signals to drive a powered, hand orthotic which opens and closes a patient's hand.
authors.affiliation: Biomedical Engineering and Electrical Engineering Department, Washington University in St Louis, MO 63130, USA. sbfok@wustl.eu
authors.forename: Sam
authors.initials: S
authors.lastname: Fok
authors.forename: Raphael
authors.initials: R
authors.lastname: Schwartz
authors.forename: Mark
authors.initials: M
authors.lastname: Wronkiewicz
authors.forename: Charles
authors.initials: C
authors.lastname: Holmes
authors.forename: Jessica
authors.initials: J
authors.lastname: Zhang
authors.forename: Thane
authors.initials: T
authors.lastname: Somers
authors.forename: David
authors.initials: D
authors.lastname: Bundy
authors.forename: Eric
authors.initials: E
authors.lastname: Leuthardt
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology*; D002138:Calibration; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods*; D004867:Equipment Design; D006225:Hand / Q000502:physiology; D006801:Humans; D015233:Models, Statistical; D009422:Nervous System Diseases / Q000473:pathology; D015203:Reproducibility of Results; D012656:Self-Help Devices; D012815:Signal Processing, Computer-Assisted; D020521:Stroke / Q000473:pathology; D000071939:Stroke Rehabilitation; D013997:Time Factors; D014584:User-Computer Interface