Literature DB >> 1447061

Interpretation of EMG spectral alterations and alteration indexes at sustained contraction.

G M Hägg1.   

Abstract

Alterations of the electromyographic power spectrum have been studied extensively to assess fatigue development in the neuromuscular system. Usually, a data reduction has been applied to create an index based on the mean power frequency or the median frequency. The physiological origin of the spectrum alterations has been (and to some extent still is) incompletely known. However, during the 1980s, substantial progress has been made in this field. The factors affecting the electromyographic power spectrum discussed in this review are action potential velocity decrease, firing statistics alterations, action potential modification, muscle temperature, additional recruitment at fatigue, and force level. Their impact on three commonly used fatigue indexes, mean power frequency, median frequency, and zero crossing rate, is also reviewed.

Mesh:

Year:  1992        PMID: 1447061     DOI: 10.1152/jappl.1992.73.4.1211

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  33 in total

1.  Estimation of surface electromyogram spectral alteration using reduced-order autoregressive model.

Authors:  S Karlsson; J Yu
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

2.  Skeletal muscle endurance and muscle metabolism in patients with chronic heart failure.

Authors:  Patrice Brassard; Francois Maltais; Martin Noel; Jean-François Doyon; Pierre LeBlanc; Joakim Allaire; Clermont Simard; Marie-Hélène Leblanc; Paul Poirier; Jean Jobin
Journal:  Can J Cardiol       Date:  2006-04       Impact factor: 5.223

3.  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
Journal:  Eur J Appl Physiol       Date:  2003-12-18       Impact factor: 3.078

4.  The effect of an active warm-up on surface EMG and muscle performance in healthy humans.

Authors:  David Stewart; Andrea Macaluso; Giuseppe De Vito
Journal:  Eur J Appl Physiol       Date:  2003-02-28       Impact factor: 3.078

Review 5.  Surface electromyogram signal modelling.

Authors:  K C McGill
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

6.  Variation of force amplitude and its effects on local fatigue.

Authors:  Marcus Yung; Svend Erik Mathiassen; Richard P Wells
Journal:  Eur J Appl Physiol       Date:  2012-03-10       Impact factor: 3.078

7.  Comparison of the electromyographic activity in the upper trapezius and biceps brachii muscle in subjects with muscular disorders: a pilot study.

Authors:  E Schulte; L A C Kallenberg; H Christensen; C Disselhorst-Klug; H J Hermens; G Rau; K Søgaard
Journal:  Eur J Appl Physiol       Date:  2005-02-04       Impact factor: 3.078

8.  The adaptive ARMA analysis of EMG signals.

Authors:  Necaattin Barişçi
Journal:  J Med Syst       Date:  2008-02       Impact factor: 4.460

9.  Rectification of EMG in low force contractions improves detection of motor unit coherence in the beta-frequency band.

Authors:  Nicholas J Ward; Simon F Farmer; Luc Berthouze; David M Halliday
Journal:  J Neurophysiol       Date:  2013-07-31       Impact factor: 2.714

10.  Improvement of thoracic aortic vasoreactivity by continuous and intermittent exercise in high-fat diet-induced obese rats.

Authors:  Hongpeng Liu; Zhen Yang; Jian Hu; Yan Luo; Lingqin Zhu; Huifang Yang; Guanghua Li
Journal:  Biomed Rep       Date:  2015-04-16
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