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To develop a single trial motor imagery (MI) classification strategy for the brain–computer interface (BCI) applications by using time–frequency synthesis approach to accommodate the individual difference, and using the spatial patterns derived from electroencephalogram (EEG) rhythmic components as the feature description.The EEGs are decomposed into a series of frequency bands, and the instantaneous...
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