Literature DB >> 15611880

Single motor unit and spectral surface EMG analysis during low-force, sustained contractions of the upper trapezius muscle.

Dario Farina1, Daniel Zennaro, Marco Pozzo, Roberto Merletti, Thomas Läubli.   

Abstract

Intramuscular and surface electromyographic (EMG) activities were recorded from the left and right upper trapezius muscle of eight healthy male subjects during 5-min long static contractions at 2% and 5% of the maximal voluntary contraction (MVC) force. Intramuscular signals were detected by wire electrodes while surface EMG signals were recorded with linear adhesive electrode arrays. The surface EMG signals were averaged using the potentials extracted from the intramuscular EMG decomposition as triggers. The conduction velocity of single motor units (MUs) was estimated over time from the averaged surface potentials while average rectified value and mean power spectral frequency were computed over time from 0.5 s epochs of surface EMG signal. It was found that (1) MUs were progressively recruited after the beginning of sustained contractions of the upper trapezius muscle at 2% and 5% MVC, (2) the conduction velocity of the MUs active since the beginning of the contraction significantly decreased over time, and (3) although the CV of single MUs significantly decreased, the mean power spectral frequency of the surface EMG did not show a consistent trend over time. It was concluded that spectral surface EMG analysis, being affected by many physiological mechanisms, may show limitations for the objective assessment of localized muscle fatigue during low force, sustained contractions. On the contrary, single motor unit conduction velocity may provide an early indication of changes in muscle fiber membrane properties with sustained activity.

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Year:  2004        PMID: 15611880     DOI: 10.1007/s00421-004-1261-8

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  35 in total

1.  A software package for the decomposition of long-term multichannel EMG signals using wavelet coefficients.

Authors:  Daniel Zennaro; Peter Wellig; Volker M Koch; George S Moschytz; Thomas Läubli
Journal:  IEEE Trans Biomed Eng       Date:  2003-01       Impact factor: 4.538

2.  Intramuscular pressure and EMG relate during static contractions but dissociate with movement and fatigue.

Authors:  Gisela Sjøgaard; Bente R Jensen; Alan R Hargens; Karen Søgaard
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3.  Sixty-four channel wearable acquisition system for long-term surface electromyogram recording with electrode arrays.

Authors:  M Pozzo; A Bottin; R Ferrabone; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

4.  Fundamentals of power spectra of extracellular potentials produced by a skeletal muscle fibre of finite length. Part I: Effect of fibre anatomy.

Authors:  G V Dimitrov; N A Dimitrova
Journal:  Med Eng Phys       Date:  1998-11       Impact factor: 2.242

Review 5.  Interpretation of EMG changes with fatigue: facts, pitfalls, and fallacies.

Authors:  N A Dimitrova; G V Dimitrov
Journal:  J Electromyogr Kinesiol       Date:  2003-02       Impact factor: 2.368

6.  Muscle fibre conduction velocity, mean power frequency, mean EMG voltage and force during submaximal fatiguing contractions of human quadriceps.

Authors:  L Arendt-Nielsen; K R Mills
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1988

7.  Motor unit recruitment during prolonged isometric contractions.

Authors:  N Fallentin; K Jørgensen; E B Simonsen
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1993

8.  Behavior of motor units in human biceps brachii during a submaximal fatiguing contraction.

Authors:  S J Garland; R M Enoka; L P Serrano; G A Robinson
Journal:  J Appl Physiol (1985)       Date:  1994-06

9.  Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions.

Authors:  R Merletti; M Knaflitz; C J De Luca
Journal:  J Appl Physiol (1985)       Date:  1990-11

10.  Estimation of single motor unit conduction velocity from surface electromyogram signals detected with linear electrode arrays.

Authors:  D Farina; W Muhammad; E Fortunato; O Meste; R Merletti; H Rix
Journal:  Med Biol Eng Comput       Date:  2001-03       Impact factor: 3.079

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  6 in total

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Authors:  Thomas Läubli; Hermie Hermens; Gisela Sjøgaard
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2.  Neuromuscular assessment in elderly workers with and without work related shoulder/neck trouble: the NEW-study design and physiological findings.

Authors:  G Sjøgaard; K Søgaard; H J Hermens; L Sandsjö; T Läubli; S Thorn; M M R Vollenbroek-Hutten; L Sell; H Christensen; A Klipstein; R Kadefors; R Merletti
Journal:  Eur J Appl Physiol       Date:  2005-09-29       Impact factor: 3.078

3.  The spectral changes in EMG during a second bout eccentric contraction could be due to adaptation in muscle fibres themselves: a simulation study.

Authors:  V G Dimitrov; T I Arabadzhiev; N A Dimitrova; G V Dimitrov
Journal:  Eur J Appl Physiol       Date:  2011-08-05       Impact factor: 3.078

4.  Relationship between perceived exertion and mean power frequency of the EMG signal from the upper trapezius muscle during isometric shoulder elevation.

Authors:  A Hummel; T Läubli; M Pozzo; P Schenk; S Spillmann; A Klipstein
Journal:  Eur J Appl Physiol       Date:  2005-10-27       Impact factor: 3.078

5.  Twitch interpolation: superimposed twitches decline progressively during a tetanic contraction of human adductor pollicis.

Authors:  S C Gandevia; C J McNeil; T J Carroll; J L Taylor
Journal:  J Physiol       Date:  2013-01-02       Impact factor: 5.182

6.  Trapezius muscle activity and body movement at the beginning and the end of a workday and during the lunch period in female office employees.

Authors:  Corinne Nicoletti; Thomas Läubli
Journal:  Ind Health       Date:  2017-01-13       Impact factor: 2.179

  6 in total

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