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  EEG Source Localization for Brain-Computer-Interfaces

Grosse-Wentrup, M., Gramann, K., Wascher, E., & Buss, M. (2005). EEG Source Localization for Brain-Computer-Interfaces. In 2nd International IEEE EMBS Conference on Neural Engineering, 2005 (pp. 128-131). Piscataway, NJ, USA: IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D5F7-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-38D6-B
Genre: Conference Paper

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1419570 (Publisher version)
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 Creators:
Grosse-Wentrup, M1, Author           
Gramann, K, Author
Wascher, E, Author
Buss, M, Author
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1External Organizations, ou_persistent22              

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 Abstract: While most EEG based brain-computer-interfaces (BCIs) employ machine learning algorithms for classification, we propose to utilize source localization procedures for this purpose. Although the computational demand is considerably higher, this approach could allow the simultaneous classification of a multitude of conditions. We present an extension of independent component analysis (ICA) - based source localization that is fully automatic, and apply this method to the classification of EEG data generated by imaginary movements of the right and left index finger. The results demonstrate that source localization provides a viable alternative to machine learning algorithms for BCIs.

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 Dates: 2005-04
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/CNE.2005.1419570
BibTex Citekey: 4978
 Degree: -

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Title: 2nd International IEEE EMBS Conference on Neural Engineering
Place of Event: Arlington, VA, USA
Start-/End Date: 2005-03-16 - 2005-03-19

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Title: 2nd International IEEE EMBS Conference on Neural Engineering, 2005
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 128 - 131 Identifier: ISBN: 0-7803-8710-4