Literature DB >> 1761011

The electro-mechanical delay of the erector spinae muscle: influence of rate of force development, fatigue and electrode location.

J H van Dieën1, C E Thissen, A J van de Ven, H M Toussaint.   

Abstract

Electro-mechanical delay (EMD) values of the erector spinae muscle were obtained using a technique based on the cross-correlation between the force and the electromyogram (EMG). Seven subjects performed a series of 20 submaximal dynamic isometric contractions in a seated position at two frequencies (0.5 Hz and 1 Hz) to study the influence of the rate of force development on EMD. Mean EMD values of 125.7 (SD 28.1) ms (1 Hz) and 136.8 (SD 28.6) ms (0.5 Hz) were shown to differ significantly (P = 0.02). This finding supports the hypothesis that EMD is inversely related to the rate of force development and implies that the time to stretch the series elastic component is an important factor determining EMD. After performing a series of fatiguing contractions EMD did not differ significantly from the control value. Multiple regression analysis showed that maximal voluntary contraction force (MVC) and endurance time of the fatiguing exercise correlated significantly with EMD. The site from which the EMG signal was recorded had no significant influence on EMD. However, the coefficient of correlation between force and the EMG-signal differed significantly between electrode positions. The magnitude of the EMD values found emphasized the need to account for this delay when interpreting temporal patterns of activation of the muscles in, for example, lifting tasks.

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Year:  1991        PMID: 1761011     DOI: 10.1007/bf00233851

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  34 in total

1.  The morphology of the human lumbar multifidus.

Authors:  J E Macintosh; F Valencia; N Bogduk; R R Munro
Journal:  Clin Biomech (Bristol, Avon)       Date:  1986-11       Impact factor: 2.063

2.  Effects of fatiguing isometric and isotonic exercise on resisted and unresisted reaction time components.

Authors:  A F Morris
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1977-06-15

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Authors:  J Nilsson; P Tesch; A Thorstensson
Journal:  Acta Physiol Scand       Date:  1977-10

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Authors:  M E Houston; R W Norman; E A Froese
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1988

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Authors:  T Corser
Journal:  Ergonomics       Date:  1974-05       Impact factor: 2.778

6.  The functions of individual muscles in the lumbar part of the spinae muscle.

Authors:  B Jonsson
Journal:  Electromyography       Date:  1970 Jan-Apr

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Authors:  M D Grabiner
Journal:  Med Sci Sports Exerc       Date:  1986-02       Impact factor: 5.411

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Authors:  J T Viitasalo; P V Komi
Journal:  Acta Physiol Scand       Date:  1981-01

9.  The effect of age and activity level on simple and choice fractionated response time.

Authors:  P M Clarkson
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1978-12-15

Review 10.  Myoelectrical manifestations of localized muscular fatigue in humans.

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

Review 1.  Effects of stretching on performances involving stretch-shortening cycles.

Authors:  Heidi Kallerud; Nigel Gleeson
Journal:  Sports Med       Date:  2013-08       Impact factor: 11.136

2.  An investigation into the relevance of the pattern of temporal activation with respect to erector spinae muscle endurance.

Authors:  J H van Dieën; H H Oude Vrielink; H M Toussaint
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1993

3.  Training can modify back muscle response to sudden trunk loading.

Authors:  Mogens Theisen Pedersen; Morten Essendrop; Jørgen H Skotte; Kurt Jørgensen; Nils Fallentin
Journal:  Eur Spine J       Date:  2004-02-25       Impact factor: 3.134

4.  Startle auditory stimuli enhance the performance of fast dynamic contractions.

Authors:  Miguel Fernandez-Del-Olmo; Dan Río-Rodríguez; Eliseo Iglesias-Soler; Rafael M Acero
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

5.  Low-back electromyography (EMG) data-driven load classification for dynamic lifting tasks.

Authors:  Deema Totah; Lauro Ojeda; Daniel D Johnson; Deanna Gates; Emily Mower Provost; Kira Barton
Journal:  PLoS One       Date:  2018-02-15       Impact factor: 3.240

  5 in total

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