Literature DB >> 6650674

Linear and non-linear surface EMG/force relationships in human muscles. An anatomical/functional argument for the existence of both.

J J Woods, B Bigland-Ritchie.   

Abstract

The EMG/force relations of various human muscles were examined over the full isometric force range using uniform experimental methods. The muscles chosen reflected varying fiber composition, fiber distribution and force generating patterns (recruitment/frequency coding). Our results generally suggest linear relations for muscles of near uniform fiber composition. Non-linear relations were obtained from muscles of mixed fiber composition. The non-linearity persisted despite variations in recording configuration, electrode placement and limb position. These were suggested by others to account for the lack of linearity in the basic EMG/force relation. The roles of uneven fiber distribution, motor unit potential amplitudes and possible supratetanic motor unit driving are discussed within the context of muscle force generating mechanisms as possible explanations for non-linear EMG/force relations.

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Year:  1983        PMID: 6650674

Source DB:  PubMed          Journal:  Am J Phys Med        ISSN: 0002-9491


  49 in total

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Authors:  Sophie J De Serres; David J Bennett; Richard B Stein
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4.  Does postural chain mobility influence muscular control in sitting ramp pushes?

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Review 5.  Surface electromyogram signal modelling.

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

6.  Electro and acoustic myography for noninvasive assessment of lumbar paraspinal muscle function.

Authors:  D J Lee; M J Stokes; R J Taylor; R G Cooper
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992

7.  Mechanomyographic and electromyographic time and frequency domain responses during submaximal to maximal isokinetic muscle actions of the biceps brachii.

Authors:  Travis W Beck; Terry J Housh; Glen O Johnson; Joseph P Weir; Joel T Cramer; Jared W Coburn; Moh H Malek
Journal:  Eur J Appl Physiol       Date:  2004-04-23       Impact factor: 3.078

8.  Slope of the EMG/moment relationship as a measure of muscular fatigue: a validation study.

Authors:  G Smyth; A B Arsenault; S Nagata; D Gagnon; P A Mathieu
Journal:  Med Biol Eng Comput       Date:  1990-07       Impact factor: 2.602

9.  Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command.

Authors:  Thomas S Buchanan; David G Lloyd; Kurt Manal; Thor F Besier
Journal:  J Appl Biomech       Date:  2004-11       Impact factor: 1.833

10.  An electromyographic comparison of 4 closed chain exercises.

Authors:  J T Hopkins; C D Ingersoll; M A Sandrey; S D Bleggi
Journal:  J Athl Train       Date:  1999-10       Impact factor: 2.860

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