Literature DB >> 2246938

EMG power spectrum as a measure of muscular fatigue at different levels of contraction.

S Nagata1, A B Arsenault, D Gagnon, G Smyth, P A Mathieu.   

Abstract

The shift in the power spectrum resulting from a 5-7 min fatigue-inducing effort followed by a 1-2 min recovery period of two elbow flexors, the biceps brachii (BB) and the brachio-radialis (BR), was assessed using two variables, the mean frequency Fm and the median or central frequency Fmd. These two variables were calculated in pre- and post-fatigue conditions and following a brief recovery, at four levels, namely 20, 40, 60 and 80 per cent of maximum voluntary contraction (MVC). These were taken from a ramped isometric effort that is from 0 to 100 per cent MVC. The EMG activity of the two flexors was recorded with bipolar surface electrodes from a group of ten volunteers. Following muscle fatigue, induced with a maintained 60 per cent MVC isometric contraction, a statistically significant (p less than 0.05) shift towards the lower frequencies was observed for both Fm and Fmd for both muscles. Following a brief recovery, a shift towards the pre-fatigue higher frequencies was statistically significant (p less than 0.05). These two synergists responded to muscle fatigue and recovery similarly, as they both demonstrated parallel shifts in power spectrum. The power spectrum is consequently a reliable measure of muscular fatigue. It is also complementary to the net articular moment results.

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Year:  1990        PMID: 2246938     DOI: 10.1007/bf02446157

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


  21 in total

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Authors:  T Moritani; M Muro
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Authors:  R Merletti; D Biey; M Biey; G Prato; A Orusa
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Authors:  J F Yang; D A Winter
Journal:  Arch Phys Med Rehabil       Date:  1983-09       Impact factor: 3.966

4.  Evaluation of amplitude and frequency components of the surface EMG as an index of muscle fatigue.

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Review 5.  Basis of segmental motor control: motoneuron size or motor unit type?

Authors:  G W Sypert; J B Munson
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6.  Surface EMG power spectral analysis of neuromuscular disorders during isometric and isotonic contractions.

Authors:  M Muro; A Nagata; K Murakami; T Moritani
Journal:  Am J Phys Med       Date:  1982-10

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Authors:  H S Milner-Brown; M Mellenthin; R G Miller
Journal:  Arch Phys Med Rehabil       Date:  1986-08       Impact factor: 3.966

8.  Method for evaluation of muscle fatigue and endurance from electromyographic fatigue curves.

Authors:  H A DeVries
Journal:  Am J Phys Med       Date:  1968-06

Review 9.  Myoelectrical manifestations of localized muscular fatigue in humans.

Authors:  C J De Luca
Journal:  Crit Rev Biomed Eng       Date:  1984

10.  Simultaneous measurement of muscle conduction velocity and EMG power spectrum changes during fatigue.

Authors:  A Eberstein; B Beattie
Journal:  Muscle Nerve       Date:  1985 Nov-Dec       Impact factor: 3.217

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  8 in total

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4.  Amplitude and frequency measures of surface electromyography during dual task elbow torque production.

Authors:  G E Caldwell; J C Jamison; S Lee
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5.  Monitoring respiratory activity in neonates using diaphragmatic electromyograph.

Authors:  P C Pang; M G Pepper; D A Ducker
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

6.  Effect of sex on torque, recovery, EMG, and MMG responses to fatigue.

Authors:  E C Hill; T J Housh; C M Smith; K C Cochrane; N D M Jenkins; J T Cramer; R J Schmidt; G O Johnson
Journal:  J Musculoskelet Neuronal Interact       Date:  2016-12-14       Impact factor: 2.041

Review 7.  Electrode Size and Placement for Surface EMG Bipolar Detection from the Brachioradialis Muscle: A Scoping Review.

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8.  The Effects of Work-to-Rest Ratios on Torque, Electromyographic, and Mechanomyographic Responses to Fatiguing Workbouts.

Authors:  Ethan C Hill; Terry J Housh; Cory M Smith; Kristen C Cochrane; Nathaniel D M Jenkins; Richard J Schmidt; Glen O Johnson
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  8 in total

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