Literature DB >> 19771446

Influence of motor unit synchronization on amplitude characteristics of surface and intramuscularly recorded EMG signals.

Todor I Arabadzhiev1, Vladimir G Dimitrov, Nonna A Dimitrova, George V Dimitrov.   

Abstract

The increase in muscle strength without noticeable hypertrophic adaptations is very important in some sports. Motor unit (MU) synchronisation and higher rate of MU activation are proposed as possible mechanisms for such a strength and electromyogram (EMG) increase in the early phase of a training regimen. Root mean square and/or integrated EMG are amplitude measures commonly used to estimate the adaptive changes in efferent neural drive. EMG amplitude characteristics could change also because of alteration in intracellular action potential (IAP) spatial profile. We simulated MUs synchronization under different length of the IAP profile. Different synchronization was simulated by variation of the percent of discharges in a referent MU, to which a variable percent of remaining MUs was synchronized. Population synchrony index estimated the degree of MU synchronization in EMG signals. We demonstrate that the increase in amplitude characteristics due to MU synchronization is stronger in surface than in intramuscularly detected EMG signals. However, the effect of IAP profile lengthening on surface detected EMG signals could be much stronger than that of MU synchronization. Thus, changes in amplitude characteristics of surface detected EMG signals with progressive strength training could hardly be used as an indicator of changes in neural drive without testing possible changes in IAPs.

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Year:  2009        PMID: 19771446     DOI: 10.1007/s00421-009-1206-3

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  67 in total

1.  Low frequency of the "plateau phenomenon" during maximal exercise in elite British athletes.

Authors:  M Doherty; L Nobbs; T D Noakes
Journal:  Eur J Appl Physiol       Date:  2003-05-21       Impact factor: 3.078

Review 2.  Training adaptations in the behavior of human motor units.

Authors:  Jacques Duchateau; John G Semmler; Roger M Enoka
Journal:  J Appl Physiol (1985)       Date:  2006-06-22

3.  Is the VO2 slow component in heavy arm-cranking exercise associated with recruitment of type II muscle fibers as assessed by an increase in surface EMG?

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Journal:  Appl Physiol Nutr Metab       Date:  2006-08       Impact factor: 2.665

4.  Precise and fast calculation of the motor unit potentials detected by a point and rectangular plate electrode.

Authors:  G V Dimitrov; N A Dimitrova
Journal:  Med Eng Phys       Date:  1998-07       Impact factor: 2.242

Review 5.  Interpretation of EMG changes with fatigue: facts, pitfalls, and fallacies.

Authors:  N A Dimitrova; G V Dimitrov
Journal:  J Electromyogr Kinesiol       Date:  2003-02       Impact factor: 2.368

6.  Muscle fatigue during dynamic contractions assessed by new spectral indices.

Authors:  George V Dimitrov; Todor I Arabadzhiev; Katya N Mileva; Joanna L Bowtell; Nicola Crichton; Nonna A Dimitrova
Journal:  Med Sci Sports Exerc       Date:  2006-11       Impact factor: 5.411

7.  Neural factors versus hypertrophy in the time course of muscle strength gain.

Authors:  T Moritani; H A deVries
Journal:  Am J Phys Med       Date:  1979-06

8.  The maximally attainable VO2 during exercise in humans: the peak vs. maximum issue.

Authors:  J R Day; H B Rossiter; E M Coats; A Skasick; B J Whipp
Journal:  J Appl Physiol (1985)       Date:  2003-07-11

9.  Effects of prior heavy exercise on VO(2) kinetics during heavy exercise are related to changes in muscle activity.

Authors:  Mark Burnley; Jonathan H Doust; Derek Ball; Andrew M Jones
Journal:  J Appl Physiol (1985)       Date:  2002-07

10.  Neuromuscular adaptations in human muscle following low intensity resistance training with vascular occlusion.

Authors:  Daniel R Moore; Kirsten A Burgomaster; Lee M Schofield; Martin J Gibala; Digby G Sale; Stuart M Phillips
Journal:  Eur J Appl Physiol       Date:  2004-08       Impact factor: 3.078

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  4 in total

1.  The spectral changes in EMG during a second bout eccentric contraction could be due to adaptation in muscle fibres themselves: a simulation study.

Authors:  V G Dimitrov; T I Arabadzhiev; N A Dimitrova; G V Dimitrov
Journal:  Eur J Appl Physiol       Date:  2011-08-05       Impact factor: 3.078

2.  Evaluation of muscle force classification using shape analysis of the sEMG probability density function: a simulation study.

Authors:  F S Ayachi; S Boudaoud; C Marque
Journal:  Med Biol Eng Comput       Date:  2014-06-25       Impact factor: 2.602

3.  Speedup computation of HD-sEMG signals using a motor unit-specific electrical source model.

Authors:  Vincent Carriou; Sofiane Boudaoud; Jeremy Laforet
Journal:  Med Biol Eng Comput       Date:  2018-01-23       Impact factor: 2.602

Review 4.  Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences.

Authors:  Andrew D Vigotsky; Israel Halperin; Gregory J Lehman; Gabriel S Trajano; Taian M Vieira
Journal:  Front Physiol       Date:  2018-01-04       Impact factor: 4.566

  4 in total

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