Technical Note An algorithm for detecting the onset of muscle contraction by EMG signal processing

msra

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摘要
The Generalized Likelihood Ratio (GLR) test is proposed for estimating the time instant of muscle contraction onset via electro- myographic (EMG) signal processing. In contrast to commonly used threshold-based estimation methods, the proposed algorithm proves to be reasonably accurate even for low levels of EMG activity; the improved behaviour of the GLR test comes with just a modest increase in the computational complexity. A set of computer simulation experiments are presented, where the proposed algorithm and two different threshold-based estimators are studied; also, we discuss the results of analysing the EMG recordings of selected proximal muscles of the upper limb in a hemiparetic subject. © 1998 IPEM. Published by Elsevier Science Ltd
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关键词
statistical signal processing,emg signal,control of assistive devices
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