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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 548509.0, MPI für biologische Kybernetik / Biologische Kybernetik
Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery
Authors:Gomez Rodriguez, M.; Peters, J.; Hill, J.; Schölkopf, B.; Gharabaghi, A.; Grosse-Wentrup, M.
Date of Publication (YYYY-MM-DD):2010-10
Title of Proceedings:Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC 2010)
Start Page:121
End Page:126
Physical Description:6
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:Brain-Computer Interfaces (BCIs) in combination with robot-assisted physical therapy may become a valuable tool for neurorehabilitation of patients with
severe hemiparetic syndromes due to cerebrovascular brain damage (stroke) and other neurological conditions. A key aspect of this approach is reestablishing
the disrupted sensorimotor feedback loop, i.e., determining the intended movement using a BCI and helping a human with impaired motor function to move
the arm using a robot. It has not been studied yet, however, how artificially closing the sensorimotor feedback loop affects the BCI decoding performance.
In this article, we investigate this issue in six healthy subjects, and present evidence that haptic feedback facilitates the decoding of arm movement
intention. The results provide evidence of the feasibility of future rehabilitative efforts combining robot-assisted physical therapy with BCIs.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:6591
URL:http://www.ieeesmc.org/
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