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A Feasibility Study of a on-Invasive Brain-Computer Interface for Post-stroke Rehabilitation

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Prasad, G, Herman, P, McDonough, S M and Crosbie, Jacqueline (2009) A Feasibility Study of a on-Invasive Brain-Computer Interface for Post-stroke Rehabilitation. In: Intel European Research and Innovation Conference 8 -10th of September 2009. INTEL. 1 pp. [Conference contribution]

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Abstract

There is now ufficient evidence that using a rehabilitation protocol involving motor imagery (M-') practice (ormental practice ( 1P)) in conjunction with physical pracrice (PP) of goal-directed rehabilitation tasks leads to enhanced functional recovery of paralyzed limb among stroke sufferers. It is however difficult to ensure patient engagement during 1P in the absence of any on-line measure of the MP. Fortunately an EEG-based non-invasive brain-computer interface (BCI) technology is primarily based on the real-time detection of MI induced pattern to sensorimotor rhythmic (SMR) EEG activity while subjects perform MI tasks (e.g. left/right hand movement imagery). The reported work carried out a successful feasibility study of a BCI based rehabilitation paradigm that provides a neurofeedback of Ml tasks during an MP to help ensure patient engagement.

Item Type:Conference contribution (Poster)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Life and Health Sciences
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
ID Code:18537
Deposited By:Professor Girijesh Prasad
Deposited On:19 May 2011 12:47
Last Modified:28 Feb 2012 14:53

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