We have proposed an algorithm for optimization of a set of wavelets associated to multi-channel recordings. The method has been applied to the problem of classifying MRCPs in the context of BCIs. The preliminary results show that optimizing the wavelets may substantially improve the classification performance on a test set. These results must be confirmed in future studies on larger subject and signal samples.
机构:
NINCDS,MED NEUROL BRANCH,HUMAN MOTOR CONTROL SECT,BLDG 10,ROOM 5N226,BETHESDA,MD 20892NINCDS,MED NEUROL BRANCH,HUMAN MOTOR CONTROL SECT,BLDG 10,ROOM 5N226,BETHESDA,MD 20892
TARKKA, IM
MASSAQUOI, S
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NINCDS,MED NEUROL BRANCH,HUMAN MOTOR CONTROL SECT,BLDG 10,ROOM 5N226,BETHESDA,MD 20892NINCDS,MED NEUROL BRANCH,HUMAN MOTOR CONTROL SECT,BLDG 10,ROOM 5N226,BETHESDA,MD 20892
MASSAQUOI, S
HALLETT, M
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NINCDS,MED NEUROL BRANCH,HUMAN MOTOR CONTROL SECT,BLDG 10,ROOM 5N226,BETHESDA,MD 20892NINCDS,MED NEUROL BRANCH,HUMAN MOTOR CONTROL SECT,BLDG 10,ROOM 5N226,BETHESDA,MD 20892