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  Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis

Gomez Rodriguez, M., Grosse-Wentrup, M., Peters, J., Naros, G., Hill, J., Schölkopf, B., et al. (2010). Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis. In J. Richiardi, D. van de Ville, C. Davatzikos, & J. Mourao-Miranda (Eds.), 1st ICPR Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging (ICPR WBD 2010) (pp. 36-39). Piscataway, NJ, USA: IEEE.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BEB8-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-80E8-7
Genre: Conference Paper

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 Creators:
Gomez Rodriguez, M1, 2, Author              
Grosse-Wentrup, M1, 2, Author              
Peters, J1, 2, Author              
Naros, G, Author
Hill, J1, 2, Author              
Schölkopf, B1, 2, Author              
Gharabaghi, A, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: 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.

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 Dates: 2010-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/WBD.2010.17
BibTex Citekey: 6583
 Degree: -

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Title: 1st ICPR Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging (ICPR WBD 2010)
Place of Event: Istanbul, Turkey
Start-/End Date: 2010-08-22

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Title: 1st ICPR Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging (ICPR WBD 2010)
Source Genre: Proceedings
 Creator(s):
Richiardi, J, Editor
van de Ville, D, Editor
Davatzikos, C, Editor
Mourao-Miranda, J, Editor
Affiliations:
-
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 36 - 39 Identifier: ISBN: 978-0-7695-4133-4