Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing
Modified local discriminant bases to extract information from motor imagery data. We use common spatial patterns as transform function instead of orthogonal methods. Our method obtains better classification performance than classical approaches. We obtain useful insights on discriminative spatio-temporal information.
local discriminant bases common spatial patterns brain computer interface motor imagery