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Effective feature extraction is vital to reliable classification. To improve the accuracy of transient myoelectric signal (MES) pattern classification, a group of filter based time-series representation is proposed. Twenty-five filters with the same bandwidth but different center frequency divide the signal frequency spectrum into 25 sub-bands. It is shown that the myoelectric signal during four contractions...
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