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

The Generalized Likelihood Ratio (GLR) test is proposed for estimating the time instant of muscle contraction onset via electromyographic (EMG) signal processing. In contrast to commonly used threshold-based estimation methods, the proposed algorithm proves to be reasonably accurate even for low lev...

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Veröffentlicht in:	Medical engineering & physics Jg. 20; H. 3; S. 211 - 215
Hauptverfasser:	Micera, Silvestro, Sabatini, Angelo M., Dario, Paolo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.04.1998 Elsevier Science
Schlagworte:	Algorithms Biological and medical sciences Computer Simulation Control of assistive devices Electrodiagnosis. Electric activity recording Electromyography EMG signal Humans Investigative techniques, diagnostic techniques (general aspects) Likelihood Functions Male Medical sciences Miscellaneous. Technology Muscle Contraction - physiology Signal Processing, Computer-Assisted Statistical signal processing EMG signal Statistical signal processing Control of assistive devices Human Electrodiagnosis Onset time Computer simulation Threshold detection Likelihood ratio Signal processing Electromyography Algorithm Muscle contraction Comparative study
ISSN:	1350-4533, 1873-4030
Online-Zugang:	Volltext
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