JOURNAL ARTICLE

Brain-Computer Interface in Stroke Rehabilitation

Kai Keng AngCuntai Guan

Year: 2013 Journal:   Journal of Computing Science and Engineering Vol: 7 (2)Pages: 139-146

Abstract

Recent advances in computer science enabled people with severe motor disabilities to use brain-computer interfaces (BCI) for communication, control, and even to restore their motor disabilities. This paper reviews the most recent works of BCI in stroke rehabilitation with a focus on methodology that reported on data collected from stroke patients and clinical studies that reported on the motor improvements of stroke patients. Both types of studies are important as the former advances the technology of BCI for stroke, and the latter demonstrates the clinical efficacy of BCI in stroke. Finally some challenges are discussed.

Keywords:
Brain–computer interface Rehabilitation Physical medicine and rehabilitation Stroke (engine) Computer science Interface (matter) Motor impairment Medicine Physical therapy Psychology Neuroscience Electroencephalography

Metrics

208
Cited By
7.73
FWCI (Field Weighted Citation Impact)
50
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
Gaze Tracking and Assistive Technology
Physical Sciences →  Computer Science →  Human-Computer Interaction

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