Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG

Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Time and frequency information is essential to feature extraction in a motor imagery BCI, in particular for systems based on a few channels. In this paper, we propose a novel time-frequency selection method based on a criterion called Time-frequency Discrimination Factor (TFDF) to extract discriminative event-related desynchronization (ERD) features for BCI data classification. Compared to existing methods, the proposed approach generates better classification performances (mean kappa coefficient= 0.62) on experimental data from the BCI competition IV dataset IIb, with only two bipolar channels.

Original languageEnglish (US)
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages2744-2747
Number of pages4
DOIs
StatePublished - Dec 14 2012
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: Aug 28 2012Sep 1 2012

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period8/28/129/1/12

Fingerprint

Imagery (Psychotherapy)
Electroencephalography
Feature extraction

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Yang, Y., Chevallier, S., Wiart, J., & Bloch, I. (2012). Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012 (pp. 2744-2747). [6346532] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2012.6346532
Yang, Yuan ; Chevallier, Sylvain ; Wiart, Joe ; Bloch, Isabelle. / Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. 2012. pp. 2744-2747 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).
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Yang, Y, Chevallier, S, Wiart, J & Bloch, I 2012, Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG. in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012., 6346532, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 2744-2747, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA, United States, 8/28/12. https://doi.org/10.1109/EMBC.2012.6346532

Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG. / Yang, Yuan; Chevallier, Sylvain; Wiart, Joe; Bloch, Isabelle.

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. 2012. p. 2744-2747 6346532 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Yang Y, Chevallier S, Wiart J, Bloch I. Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. 2012. p. 2744-2747. 6346532. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2012.6346532