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

2010

Conference Paper

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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 T{\"u}bingen, and discuss challenges that need to be addressed in order to move from basic research to clinical studies.

Author(s): Gomez Rodriguez, M. and Peters, J. and Hill, J. and Gharabaghi, A. and Schölkopf, B. and Grosse-Wentrup, M.
Book Title: Proceedings of SIMPAR 2010 Workshops
Pages: 59-63
Year: 2010
Month: November
Day: 0

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

Event Name: Brain-Computer Interface Workshop at SIMPAR 2010: 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots
Event Place: Darmstadt, Germany
ISBN: 978-3-00-032863-3
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF
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BibTex

@inproceedings{6889,
  title = {Combining Real-Time Brain-Computer Interfacing and Robot Control for Stroke Rehabilitation},
  author = {Gomez Rodriguez, M. and Peters, J. and Hill, J. and Gharabaghi, A. and Sch{\"o}lkopf, B. and Grosse-Wentrup, M.},
  booktitle = {Proceedings of SIMPAR 2010 Workshops},
  pages = {59-63},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = nov,
  year = {2010},
  month_numeric = {11}
}