Literature DB >> 17931886

Fatigue analysis of interference EMG signals obtained from biceps brachii during isometric voluntary contraction at various force levels.

N A Dimitrova1, T I Arabadzhiev, J-Y Hogrel, G V Dimitrov.   

Abstract

The aim of the present study was to test the applicability of indices of muscle fatigue to interference EMG signals detected at various distances from the end-plate region during isometric voluntary contractions at different force levels. Bar electrode with 12 leading off surfaces and 5mm inter-pole distance was used to detect EMG from human m. biceps brachii. The sensitivity of the new spectral indices to detect muscle fatigue was higher than that of mean or median frequencies. Considerable variations in the characteristic frequencies and values of spectral indices that could reflect recruitment and/or rotation of MUs were found under submaximal efforts. The increase of the indices was considered as a sign of peripheral muscle fatigue while their decreasing could be a sign of de-recruitment of fatigued or/and recruitment of new MUs reflecting central fatigue. The sensitivity of the indices to fatigue depended on the electrode arrangement and its longitudinal position in respect of the end-plate region and ends of the muscle fibres. It was larger for the electrodes placed in the middle of the semi-fibre. To overcome the problem with inappropriate position of the electrode, one could use an electrode whose longitudinal dimension would cover the entire semi-length of the analyzed fibres.

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Year:  2007        PMID: 17931886     DOI: 10.1016/j.jelekin.2007.08.007

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  8 in total

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Authors:  Todor Arabadzhiev; Moshe Solomonow; Bing He Zhou; Nonna Dimitrova; George Dimitrov
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2.  Influence of motor unit synchronization on amplitude characteristics of surface and intramuscularly recorded EMG signals.

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Journal:  Eur J Appl Physiol       Date:  2009-09-22       Impact factor: 3.078

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Review 4.  Endurance time is joint-specific: a modelling and meta-analysis investigation.

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Review 7.  Complexity Analysis of Surface Electromyography for Assessing the Myoelectric Manifestation of Muscle Fatigue: A Review.

Authors:  Susanna Rampichini; Taian Martins Vieira; Paolo Castiglioni; Giampiero Merati
Journal:  Entropy (Basel)       Date:  2020-05-07       Impact factor: 2.524

8.  Computation and evaluation of features of surface electromyogram to identify the force of muscle contraction and muscle fatigue.

Authors:  Sridhar P Arjunan; Dinesh K Kumar; Ganesh Naik
Journal:  Biomed Res Int       Date:  2014-06-04       Impact factor: 3.411

  8 in total

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