Literature DB >> 20719606

Muscle fiber action potential changes and surface EMG: A simulation study.

D F Stegeman1, W H Linssen.   

Abstract

The muscle fiber membrane electrophysiology may change under fatiguing circumstances. In a simulation study, the influence of muscle fiber membrane electrophysiological changes on two major characteristics of the surface electromyogram interference pattern (SEMG) is quantified [median frequency (F(med)) and SEMG amplitude (RMS)]. Frequency and amplitude parameters are calculated from a model of the motor unit action potential in which the mean muscle fiber conduction velocity (U) and the intracellular action potential duration (T) characterize the state of the sarcolemma. F(med) appears to be proportionally related to U, while T does not play a significant role in F(med). The simulations further reveal that the RMS amplitude is proportional to T and the square root of U. The simple dependencies of SEMG parameters on U and T can be disturbed by a different sensitivity of thick and thin muscle fibers to factors that decrease the membrane excitability. It is stressed that the results of this study concern bipolarly recorded interference EMGs. It is concluded that volume conductor parameters and interelectrode distances, although important with respect to the absolute values of F(med) and RMS, do not interfere with the influences of T and U when relative SEMG changes are considered.
Copyright © 1992. Published by Elsevier Ltd.

Entities:  

Year:  1992        PMID: 20719606     DOI: 10.1016/1050-6411(92)90010-G

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  6 in total

1.  Relative contributions of central and peripheral factors to fatigue during a maximal sustained effort.

Authors:  Maartje L Schillings; Wouter Hoefsloot; Dick F Stegeman; Machiel J Zwarts
Journal:  Eur J Appl Physiol       Date:  2003-08-05       Impact factor: 3.078

Review 2.  Surface electromyogram signal modelling.

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

3.  Peculiarities of extracellular potentials produced by deep muscles. Part 2: motor unit potentials.

Authors:  T I Arabadzhiev
Journal:  Med Biol Eng Comput       Date:  2013-02-08       Impact factor: 2.602

4.  Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE)-A Novel ICA-Based Algorithm for Removing Myoelectric Artifacts From EEG.

Authors:  Yongcheng Li; Po T Wang; Mukta P Vaidya; Robert D Flint; Charles Y Liu; Marc W Slutzky; An H Do
Journal:  Front Neurosci       Date:  2021-01-15       Impact factor: 4.677

5.  Refinement of High-Gamma EEG Features From TBI Patients With Hemicraniectomy Using an ICA Informed by Simulated Myoelectric Artifacts.

Authors:  Yongcheng Li; Po T Wang; Mukta P Vaidya; Robert D Flint; Charles Y Liu; Marc W Slutzky; An H Do
Journal:  Front Neurosci       Date:  2020-11-24       Impact factor: 4.677

6.  Wearable Sensors Detect Differences between the Sexes in Lower Limb Electromyographic Activity and Pelvis 3D Kinematics during Running.

Authors:  Iván Nacher Moltó; Juan Pardo Albiach; Juan José Amer-Cuenca; Eva Segura-Ortí; Willig Gabriel; Javier Martínez-Gramage
Journal:  Sensors (Basel)       Date:  2020-11-12       Impact factor: 3.576

  6 in total

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