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  Combining Real-Time Brain-Computer Interfacing and Robot Control for Stroke Rehabilitation

Gomez Rodriguez, M., Peters, J., Hill, J., Gharabaghi, a., Schölkopf, B., & Grosse-Wentrup, M. (2010). Combining Real-Time Brain-Computer Interfacing and Robot Control for Stroke Rehabilitation. In Brain-Computer Interface Workshop at SIMPAR 2010 (pp. 59-63).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BD6A-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-7EAA-2
Genre: Conference Paper

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SIMPAR-2010-Gomez.pdf (Any fulltext), 117KB
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 Creators:
Gomez Rodriguez, M1, 2, Author              
Peters, J1, 2, Author              
Hill, J1, 2, Author              
Gharabaghi, a, Author
Schölkopf, B1, 2, Author              
Grosse-Wentrup, M1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Brain-Computer Interfaces based on electrocorticography (ECoG) or electroencephalography (EEG), in combination with robot-assisted active physical therapy, may support traditional rehabilitation procedures for patients with severe motor impairment due to cerebrovascular brain damage caused by stroke. In this short report, we briefly review the state-of-the art in this exciting new field, give an overview of the work carried out at the Max Planck Institute for Biological Cybernetics and the University of Tübingen, and discuss challenges that need to be addressed in order to move from basic research to clinical studies.

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 Dates: 2010-11
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: 6889
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Title: Brain-Computer Interface Workshop at SIMPAR 2010: 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots
Place of Event: Darmstadt, Germany
Start-/End Date: 2010-11-15

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Title: Brain-Computer Interface Workshop at SIMPAR 2010
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 59 - 63 Identifier: ISBN: 978-3-00-032863-3