Literature DB >> 1817214

Comparison of different estimators of electromyographic spectral shifts during work when applied on short test contractions.

G M Hägg1.   

Abstract

EMG was recorded during short test contractions performed during occupational work. Mean power frequency (MPF) and median frequency (MF), calculated from EMG spectra, and zero crossing rate (ZC) of the EMG signal were compared as estimators of local muscular fatigue. The results show that there is a systematic difference between the three estimates. The difference can be explained by dividing the effect of muscle fatigue on EMG spectra into a motor unit action potential velocity effect and a firing statistics effect. Furthermore, it is shown that the phenomenon of increasing estimators of EMG spectrum shift is unlikely to be caused by motor unit action potential velocity increase. Successive recruitment of new motor units is suggested as a feasible explanation.

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Year:  1991        PMID: 1817214     DOI: 10.1007/BF02442323

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  27 in total

1.  The relation between force and integrated electrical activity in fatigued muscle.

Authors:  R G EDWARDS; O C LIPPOLD
Journal:  J Physiol       Date:  1956-06-28       Impact factor: 5.182

2.  Synchronous activity in normal and atrophic muscle.

Authors:  F BUCHTHAL; A MADSEN
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1950-11

3.  A worksite method for shoulder muscle fatigue measurements using EMG, test contractions and zero crossing technique.

Authors:  G M Hägg; J Suurküla; M Liew
Journal:  Ergonomics       Date:  1987-11       Impact factor: 2.778

4.  Influence of motor unit firing statistics on the median frequency of the EMG power spectrum.

Authors:  A van Boxtel; L R Schomaker
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1984

5.  Factors determining the frequency content of the electromyogram.

Authors:  H Kranz; A M Williams; J Cassell; D J Caddy; R B Silberstein
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1983-08

6.  Conduction velocity and EMG power spectrum changes in fatigue of sustained maximal efforts.

Authors:  B Bigland-Ritchie; E F Donovan; C S Roussos
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1981-11

7.  Electromyographic fatigue analysis based on the number of zero crossings.

Authors:  G Hägg
Journal:  Pflugers Arch       Date:  1981-07       Impact factor: 3.657

8.  An analysis of synchronization and double discharge effects on low frequency electromyographic power spectra.

Authors:  A Blinowska; J Verroust; G Cannet
Journal:  Electromyogr Clin Neurophysiol       Date:  1980 Oct-Dec

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.  Relationship between average muscle fibre conduction velocity and EMG power spectra during isometric contraction, recovery and applied ischemia.

Authors:  M J Zwarts; T W Van Weerden; H T Haenen
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1987
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  16 in total

1.  EMG power spectra of cervical muscles in lateral flexion and comparison with sagittal and oblique plane activities.

Authors:  Shrawan Kumar; Yogesh Narayan; Tyler Amell
Journal:  Eur J Appl Physiol       Date:  2003-03-25       Impact factor: 3.078

2.  Estimation of elbow flexion force during isometric muscle contraction from mechanomyography and electromyography.

Authors:  Wonkeun Youn; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2010-06-04       Impact factor: 2.602

3.  Zero crossing rate of electromyograms during occupational work and endurance tests as predictors for work related myalgia in the shoulder/neck region.

Authors:  G M Hägg; J Suurküla
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1991

4.  Description and validation of a technique for the removal of ECG contamination from diaphragmatic EMG signal.

Authors:  A Bartolo; R R Dzwonczyk; C Roberts; E Goldman
Journal:  Med Biol Eng Comput       Date:  1996-01       Impact factor: 2.602

5.  Changes in the electromyographic spectrum power distribution caused by a progressive increase in the force level.

Authors:  M Bilodeau; M Cincera; S Gervais; A B Arsenault; D Gravel; Y Lepage; P McKinley
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1995

6.  Myo-electric fatigue and force failure from submaximal static elbow flexion sustained to exhaustion.

Authors:  C Krogh-Lund
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1993

7.  Myo-electric fatigue manifestations revisited: power spectrum, conduction velocity, and amplitude of human elbow flexor muscles during isolated and repetitive endurance contractions at 30% maximal voluntary contraction.

Authors:  C Krogh-Lund; K Jørgensen
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1993

8.  The effect of over-commitment and reward on trapezius muscle activity and shoulder, head, neck, and torso postures during computer use in the field.

Authors:  Jennifer L Bruno Garza; Belinda H W Eijckelhof; Maaike A Huysmans; Paul J Catalano; Jeffrey N Katz; Peter W Johnson; Jaap H van Dieen; Allard J van der Beek; Jack T Dennerlein
Journal:  Am J Ind Med       Date:  2013-07-01       Impact factor: 2.214

9.  One-handed load carrying--cardiovascular, muscular and subjective indices of endurance and fatigue.

Authors:  A Kilbom; G M Hägg; C Käll
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992

10.  Comparison of the EMG power spectrum of the human soleus and gastrocnemius muscles.

Authors:  M Bilodeau; C Goulet; S Nadeau; A B Arsenault; D Gravel
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1994
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