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

Yuan Yang; Sylvain Chevallier; Joe Wiart; Isabelle Bloch

doi:10.1109/EMBC.2012.6346532

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

Yuan Yang^*, Sylvain Chevallier, Joe Wiart, Isabelle Bloch

^*Corresponding author for this work

Physical Therapy and Human Movement Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages	2744-2747
Number of pages	4
DOIs	https://doi.org/10.1109/EMBC.2012.6346532
State	Published - Dec 14 2012
Event	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States Duration: Aug 28 2012 → Sep 1 2012

Publication series

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

Other

Other	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Country	United States
City	San Diego, CA
Period	8/28/12 → 9/1/12

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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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 (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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title = "Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG",

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.",

author = "Yuan Yang and Sylvain Chevallier and Joe Wiart and Isabelle Bloch",

year = "2012",

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doi = "10.1109/EMBC.2012.6346532",

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note = "34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 ; Conference date: 28-08-2012 Through 01-09-2012",

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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 proceeding › Conference 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