Literature DB >> 8332138

Variability and interrelationships of surface EMG parameters during local muscle fatigue.

W H Linssen1, D F Stegeman, E M Joosten, M A van't Hof, R A Binkhorst, S L Notermans.   

Abstract

The inter- and intraindividual variability of the frequency power density spectral and surface EMG amplitude parameters and of the muscle fiber conduction velocity (MFCV) is studied in 26 healthy volunteers during fatiguing isometric ischemic intermittent exercise of the m. biceps brachii at 80% of the maximal voluntary contraction level, with a contraction rate of 30/min. No significant age effects were found. Males were significantly stronger compared with females. The higher initial SEMG amplitude and the stronger shift of the frequency power density spectrum (PDS) to lower frequencies appear to be significantly correlated with males. Fatigue induces an almost proportional compression of the SEMG frequency content. The muscle fiber conduction velocity has the highest intraindividual reproducibility (r = 0.81). Despite the definite and strong influence of the MFCV on the PDS, the shift of the PDS can not be explained by a change of MFCV alone.

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Year:  1993        PMID: 8332138     DOI: 10.1002/mus.880160808

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  21 in total

1.  The influence of muscle pain and fatigue on the activity of synergistic muscles of the leg.

Authors:  Andrei Ciubotariu; Lars Arendt-Nielsen; Thomas Graven-Nielsen
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2.  Relative contributions of central and peripheral factors to fatigue during a maximal sustained effort.

Authors:  Maartje L Schillings; Wouter Hoefsloot; Dick F Stegeman; Machiel J Zwarts
Journal:  Eur J Appl Physiol       Date:  2003-08-05       Impact factor: 3.078

Review 3.  Methods for estimating muscle fibre conduction velocity from surface electromyographic signals.

Authors:  D Farina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

4.  Reproducibility of kinetics of electromyogram spectrum parameters during dynamic exercise.

Authors:  D Gamet; J Duchêne; F Goubel
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1996

5.  Activation characteristics of shoulder muscles during maximal and submaximal efforts.

Authors:  Christoph Anders; Susanne Bretschneider; Annette Bernsdorf; Wolfgang Schneider
Journal:  Eur J Appl Physiol       Date:  2004-12-14       Impact factor: 3.078

6.  The effect of single-pulse transcranial magnetic stimulation and peripheral nerve stimulation on complexity of EMG signal: fractal analysis.

Authors:  M Cukic; J Oommen; D Mutavdzic; N Jorgovanovic; M Ljubisavljevic
Journal:  Exp Brain Res       Date:  2013-05-08       Impact factor: 1.972

7.  Electromyogram features during linear torque decrement and their changes with fatigue.

Authors:  Renata Andrzejewska; Artur Jaskólski; Anna Jaskólska; Massimiliano Gobbo; Claudio Orizio
Journal:  Eur J Appl Physiol       Date:  2014-06-24       Impact factor: 3.078

8.  Advances in processing of surface myoelectric signals: Part 1.

Authors:  R Merletti; L R Lo Conte
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

9.  Muscle fatigue detection in EMG using time-frequency methods, ICA and neural networks.

Authors:  Abdulhamit Subasi; M Kemal Kiymik
Journal:  J Med Syst       Date:  2009-04-28       Impact factor: 4.460

10.  Chronic hypobaric hypoxia does not affect electro-mechanical muscle activities during sustained maximal isometric contractions.

Authors:  Fabio Esposito; Claudio Orizio; Giovanni Parrinello; Arsenio Veicsteinas
Journal:  Eur J Appl Physiol       Date:  2003-08-22       Impact factor: 3.078

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