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Combining Real-Time Brain-Computer Interfacing and Robot Control for Stroke Rehabilitation
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.
@inproceedings{6889, title = {Combining Real-Time Brain-Computer Interfacing and Robot Control for Stroke Rehabilitation}, booktitle = {Proceedings of SIMPAR 2010 Workshops}, 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 T{\"u}bingen, and discuss challenges that need to be addressed in order to move from basic research to clinical studies.}, pages = {59-63}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, month = nov, year = {2010}, slug = {6889}, author = {Gomez Rodriguez, M. and Peters, J. and Hill, J. and Gharabaghi, A. and Sch{\"o}lkopf, B. and Grosse-Wentrup, M.}, month_numeric = {11} }