A new discriminative common spatial pattern method for motor imagery brain-computer interfaces.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 19605314.
- Also identified by DOI 10.1109/TBME.2009.2026181.
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Abstract
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.
Medical subject headings
- Algorithms
- Brain Mapping
- Electroencephalography
- Evoked Potentials, Motor
- Imagination
- Motor Cortex
- Pattern Recognition, Automated
- User-Computer Interface