 |
Conference papers
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.
Cited literature [18 references]
https://hal.archives-ouvertes.fr/hal-00737280
Contributor : Yuan Yang <>
Submitted on : Monday, October 1, 2012 - 2:35:28 PM
Last modification on : Monday, October 12, 2020 - 6:43:39 PM
Long-term archiving on: : Wednesday, January 2, 2013 - 6:45:10 AM
Contributor : Yuan Yang <>
Submitted on : Monday, October 1, 2012 - 2:35:28 PM
Last modification on : Monday, October 12, 2020 - 6:43:39 PM
Long-term archiving on: : Wednesday, January 2, 2013 - 6:45:10 AM
File
EMBC12_0320_FI.pdf
Files produced by the author(s)