Classification of the myoelectric signal using time-frequency based representations
Abstract
An accurate and computationally efficient means of classifying surface myoelectric signal patterns has been the subject of considerable research effort in recent years. Effective feature extraction is crucial to reliable classification and, in the quest to improve the accuracy of transient myoelectric signal pattern classification, an ensemble of time-frequency based representations are proposed. It is shown that feature sets based upon the...
Paper Details
Title
Classification of the myoelectric signal using time-frequency based representations
Published Date
Jul 1, 1999
Volume
21
Issue
6-7
Pages
431 - 438
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