Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 56, Issue 11, Pages 2730-2733Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2009.2026181
Keywords
Brain-computer interface; electroencephalogram; motor imagery
Categories
Funding
- Nanyang Technological University
- Science and Engineering Research Council of the Agency for Science, Technology and Research (A*STAR), Singapore
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Event-related desynchronization/synchronization patterns during right/left motor imagery (MI) are effective features for an electroencephalogram-based brain-computer interface (BCI). As MI tasks are subject-specific, selection of subject-specific discriminative frequency components play a vital role in distinguishing these patterns. This paper proposes a new discriminative filter bank (FB) common spatial pattern algorithm to extract subject-specific FB for MI classification. The proposed method enhances the classification accuracy in BCI competition III dataset IVa and competition IV dataset IIb. Compared to the performance offered by the existing FB-based method, the proposed algorithm offers error rate reductions of 17.42% and 8.9% for BCI competition datasets; III and IV, respectively.
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