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  Methods Towards Invasive Human Brain Computer Interfaces

Lal, T., Hinterberger T, Widman G, Schröder, M., Hill, J., Rosenstiel W, Elger CE, Schölkopf, B., & Birbaumer, N. (2005). Methods Towards Invasive Human Brain Computer Interfaces. Advances in Neural Information Processing Systems, 737-744.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D529-F Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D52A-D
Genre: Konferenzbeitrag

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 Urheber:
Lal, TN1, Autor           
Hinterberger T, Widman G, Schröder, M2, Autor           
Hill, J1, Autor           
Rosenstiel W, Elger CE, Schölkopf, B1, Autor           
Birbaumer, N, Autor
Saul, Herausgeber
K., L., Herausgeber
Weiss, Y., Herausgeber
Bottou, L., Herausgeber
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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Schlagwörter: -
 Zusammenfassung: During the last ten years there has been growing interest in the development of Brain Computer Interfaces (BCIs). The field has mainly been driven by the needs of completely paralyzed patients to communicate. With a few exceptions, most human BCIs are based on extracranial electroencephalography (EEG). However, reported bit rates are still low. One reason for this is the low signal-to-noise ratio of the EEG. We are currently investigating if BCIs based on electrocorticography (ECoG) are a viable alternative. In this paper we present the method and examples of intracranial EEG recordings of three epilepsy patients with electrode grids placed on the motor cortex. The patients were asked to repeatedly imagine movements of two kinds, e.g., tongue or finger movements. We analyze the classifiability of the data using Support Vector Machines (SVMs) and Recursive Channel Elimination (RCE).

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Sprache(n):
 Datum: 2005-07
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISBN: 0-262-19534-8
URI: http://books.nips.cc/nips17.html
BibTex Citekey: 2795
 Art des Abschluß: -

Veranstaltung

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Titel: Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004)
Veranstaltungsort: Vancouver, BC, Canada
Start-/Enddatum: -

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Titel: Advances in Neural Information Processing Systems
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Cambridge, MA, USA : MIT Press
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 737 - 744 Identifikator: -