SPECTRAL COMPONENTS OF SURFACE EMG REFLECT MUSCULAR ACTIVITY
نویسندگان
چکیده
منابع مشابه
Prediction of muscular activation modes via surface EMG
The paper discusses how recognition of individual and combined muscular activation modes (functions) and the prediction of intended such modes can be accomplished by identifying parameters of noninvasive surface EMG signals. It outlines the mathematical analysis of surface EMG signal to facilitate such recognition and related prediction, including recognition of intention (in terms of attempts)...
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Surface electromyogram (EMG) detected by electrode arrays along the muscle fibre direction can be approximated by the sum of propagating and non propagating components. A technique to separate propagating and non propagating components in surface EMG signals is developed. The first step is an adaptive filter, which allows obtaining an estimation of the delay between signals detected at differen...
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This report describes an early version of a technique for decomposing surface electromyographic (sEMG) signals into the constituent motor unit (MU) action potential trains. A surface sensor array is used to collect four channels of differentially amplified EMG signals. The decomposition is achieved by a set of algorithms that uses a specially developed knowledge-based Artificial Intelligence fr...
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Although recent studies have shown enhancement of deglutitive upper esophageal sphincter opening in healthy elderly patients performing an isometric/isotonic head lift exercise (HLE), the muscle groups affected by this process are not known. A shift in the spectral analysis of surface EMG activity seen with muscle fatigue can be used to identify muscles affected by an exercise. The objective of...
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The rate of decline in the median frequency (MF) of the surface EMG power spectrum (MFgrad) has been evaluated for its use in monitoring the fatigability of the erector spinae muscles during the performance of submaximal isometric contractions. MFgrad consistently displayed a highly significant relationship with endurance time for the task (p < 0.05), giving a slightly better correlation for co...
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ژورنال
عنوان ژورنال: Biomechanisms
سال: 1988
ISSN: 1348-7116,1349-497X
DOI: 10.3951/biomechanisms.9.23