Fuzzy system with tabu search learning for classification of motor imagery data.
Biomedical Signal Processing and Control(2015)
摘要
•Combine wavelet transform and Wilcoxon statistics for EEG signal feature extraction.•Introduce fuzzy standard additive model with tabu search learning for classification.•Proposed tabu-FSAM method considerably dominates competitive classifiers.•Tabu-FSAM outperforms the best performance reported in the BCI competition II.•Proposed method can be implemented into a real-time EEG signal analysis system.
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关键词
Wavelet transform,Wilcoxon test,EEG signal classification,Motor imagery data,BCI competition II
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