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  Critical issues in state-of-the-art brain–computer interface signal processing

Krusienski, D., Grosse-Wentrup, M., Galan, F., Coyle, D., Miller, K., Forney, E., et al. (2011). Critical issues in state-of-the-art brain–computer interface signal processing. Journal of Neural Engineering, 8(2): 025002, pp. 1-8. doi:10.1088/1741-2560/8/2/025002.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BC24-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-B857-E
Genre: Journal Article

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 Creators:
Krusienski, DJ, Author
Grosse-Wentrup, M1, 2, Author              
Galan, F, Author
Coyle, D, Author
Miller, KJ, Author
Forney, E, Author
Anderson, CW, 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: This paper reviews several critical issues facing signal processing for brain–computer interfaces (BCIs) and suggests several recent approaches that should be further examined. The topics were selected based on discussions held during the 4th International BCI Meeting at a workshop organized to review and evaluate the current state of, and issues relevant to, feature extraction and translation of field potentials for BCIs. The topics presented in this paper include the relationship between electroencephalography and electrocorticography, novel features for performance prediction, time-embedded signal representations, phase information, signal non-stationarity, and unsupervised adaptation.

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 Dates: 2011-04
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1088/1741-2560/8/2/025002
BibTex Citekey: 6851
 Degree: -

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Title: Journal of Neural Engineering
Source Genre: Journal
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Publ. Info: Bristol : Institute of Physics Publishing
Pages: - Volume / Issue: 8 (2) Sequence Number: 025002 Start / End Page: 1 - 8 Identifier: ISSN: 1741-2552
CoNE: https://pure.mpg.de/cone/journals/resource/17412552