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 | |
| 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 |
Fingerprint
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics
Cite this
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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
TY - GEN
T1 - Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG
AU - Yang, Yuan
AU - Chevallier, Sylvain
AU - Wiart, Joe
AU - Bloch, Isabelle
PY - 2012/12/14
Y1 - 2012/12/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84870835638&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870835638&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2012.6346532
DO - 10.1109/EMBC.2012.6346532
M3 - Conference contribution
SN - 9781424441198
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 2744
EP - 2747
BT - 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
ER -