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



ID: 548318.0, MPI für biologische Kybernetik / Biologische Kybernetik
Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis
Authors:Gomez Rodriguez, M.; Grosse-Wentrup, M.; Peters, J.; Naros, G.; Hill, J.; Schölkopf, B.; Gharabaghi, A.
Editors:Richiardi, J.; Ville, D. Van De; Davatzikos, C.; Mourao-Miranda, J.
Date of Publication (YYYY-MM-DD):2010-08
Title of Proceedings:Proceedings of the 1st ICPR Workshop on Brain DecodingBrain Decoding: Pattern Recognition Challenges in Neuroimaging (ICPR WBD 2010)
Start Page:36
End Page:39
Physical Description:4
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:Brain-Computer Interfaces (BCI) that rely upon epidural electrocorticographic signals may become a promising tool for neurorehabilitation of patients with severe hemiparatic syndromes due to cerebrovascular, traumatic or tumor-related brain damage. Here, we show in a patient-based feasibility study that online classification of arm movement intention is possible. The intention to move or to rest can be identified with high accuracy (~90 %), which is sufficient for BCI-guided neurorehabilitation. The observed spatial distribution of relevant features on the motor cortex indicates that cortical reorganization has been induced by the brain lesion. Low- and high-frequency components of the electrocorticographic power spectrum provide complementary information towards classification of arm movement intention.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:6583
URL:http://miplab.epfl.ch/icpr2010/
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