IPSIHAND BRAVO: An improved EEG-based brain-computer interface for hand motor control rehabilitation

Author

Holmes, C.D. ; Wronkiewicz, M. ; Somers, T. ; Liu, Jiangchuan ; Russell, E. ; Kim, Dongkyu ; Rhoades, C. ; Dunkley, J. ; Bundy, D. ; Galboa, E. ; Leuthardt, E.

Author_Institution

Electr. & Syst. Eng. Dept., Washington Univ. in St. Louis, St. Louis, MO, USA

fYear

2012

fDate

Aug. 28 2012-Sept. 1 2012

Firstpage

1749

Lastpage

1752

Abstract

Stroke and other nervous system injuries can damage or destroy hand motor control and greatly upset daily activities. Brain computer interfaces (BCIs) represent an emerging technology that can bypass damaged nerves to restore basic motor function and provide more effective rehabilitation. A wireless BCI system was implemented to realize these goals using electroencephalographic brain signals, machine learning techniques, and a custom designed orthosis. The IpsiHand Bravo BCI system is designed to reach a large demographic by using non-traditional brain signals and improving on past BCI system pitfalls.

Keywords

brain-computer interfaces; electroencephalography; injuries; learning (artificial intelligence); medical disorders; medical signal processing; motion control; neurophysiology; orthotics; patient rehabilitation; EEG-based brain-computer interface; IpsiHand Bravo BCI system; basic motor function restoration; custom designed orthosis; damaged nerve bypass; demography; electroencephalographic brain signals; hand motor control rehabilitation; machine learning techniques; nervous system injuries; nontraditional brain signals; stroke; Accuracy; Educational institutions; Machine learning; Medical treatment; Software; Thumb; Artificial Intelligence; Brain-Computer Interfaces; Electrodes; Electroencephalography; Hand; Humans; Psychomotor Performance; Rehabilitation; Software;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE

Conference_Location

San Diego, CA

ISSN

1557-170X

Print_ISBN

978-1-4244-4119-8

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/EMBC.2012.6346287

Filename

6346287