A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain-Computer Interfaces

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...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2009-11, Vol.56 (11), p.2730-2733
Main Authors: Thomas, Kavitha P., Guan, Cuntai, Lau, Chiew Tong, Vinod, A. P., Ang, Kai Keng
Format: Article
Language:English
Subjects:
Algorithms
Band pass filters
Brain Mapping - methods
Brain-computer interface
Councils
Discriminant Analysis
electroencephalogram
Electroencephalography
Electroencephalography - methods
Error analysis
Evoked Potentials, Motor - physiology
Feature extraction
Filter bank
Frequency synchronization
Humans
Imagination - physiology
Motor Cortex - physiology
Motor drives
motor imagery
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity
Support vector machine classification
Support vector machines
User-Computer Interface
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Summary: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.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2009.2026181