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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: 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots (pp. 59-63).

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 Creators:
Gomez Rodriguez, M1, Author           
Peters, J1, 2, Author           
Hill, J1, Author           
Gharabaghi A, Schölkopf, B1, Author           
Grosse-Wentrup, M1, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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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: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: ISBN: 978-3-00-032863-3
URI: http://www.simpar.org/index.php/program/ws.html
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
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Title: Brain-Computer Interface Workshop at SIMPAR 2010: 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 59 - 63 Identifier: -