Literature DB >> 15377649

Influence of amplitude cancellation on the simulated surface electromyogram.

Kevin G Keenan1, Dario Farina, Katrina S Maluf, Roberto Merletti, Roger M Enoka.   

Abstract

The purpose of the study was to quantify the influence of selected motor unit properties and patterns of activity on amplitude cancellation in the simulated surface electromyogram (EMG). The study involved computer simulations of a motor unit population with physiologically defined recruitment and rate coding characteristics that activated muscle fibers whose potentials were recorded on the skin over the muscle. Amplitude cancellation was quantified as the percent difference in signal amplitude when motor unit potentials were summed before and after rectification. The simulations involved varying the level of activation for the motor unit population, the recording configuration, the upper limit of motor unit recruitment, peak discharge rates, the amount of motor unit synchronization, muscle fiber length, the thickness of the subcutaneous tissue, and the motor unit properties that change with advancing age. The results confirmed a previous experimental report (Day SJ and Hulliger M, J Neurophysiol 86: 2144-2158, 2001) that amplitude cancellation in the surface EMG can reach 62% at maximal activation. A decrease in the range of amplitudes of the motor unit potentials, as can occur during fatiguing contractions, increased amplitude cancellation up to approximately 85%. Differences in the amount of amplitude cancellation were observed across all simulated conditions, and resulted in substantial changes in the absolute magnitude of the EMG signal. The most profound factors influencing amplitude cancellation were the number of active motor units and the duration of the action potentials. The effects of amplitude cancellation were minimal (<5%) when the EMG amplitude was normalized to maximal values, with the exception of variations in peak discharge rate and recruitment range, which resulted in differences up to 17% in the normalized EMG signal across conditions. These results indicate the amount of amplitude cancellation that can occur in various experimental conditions and its influence on absolute and relative measures of EMG amplitude.

Mesh:

Year:  2004        PMID: 15377649     DOI: 10.1152/japplphysiol.00894.2004

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  92 in total

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4.  Motor unit discharge rates of the anconeus muscle during high-velocity elbow extensions.

Authors:  B Harwood; A W Davidson; C L Rice
Journal:  Exp Brain Res       Date:  2010-11-24       Impact factor: 1.972

5.  Spatial variability in cortex-muscle coherence investigated with magnetoencephalography and high-density surface electromyography.

Authors:  Harri Piitulainen; Alberto Botter; Mathieu Bourguignon; Veikko Jousmäki; Riitta Hari
Journal:  J Neurophysiol       Date:  2015-09-09       Impact factor: 2.714

6.  Pacing strategies during repeated maximal voluntary contractions.

Authors:  I Halperin; S J Aboodarda; F A Basset; J M Byrne; D G Behm
Journal:  Eur J Appl Physiol       Date:  2014-03-23       Impact factor: 3.078

7.  The influence of contraction amplitude and firing history on spike-triggered averaged trapezius motor unit potentials.

Authors:  C Westad; R H Westgaard
Journal:  J Physiol       Date:  2004-12-02       Impact factor: 5.182

8.  Influence of motor unit properties on the size of the simulated evoked surface EMG potential.

Authors:  Kevin G Keenan; Dario Farina; Roberto Merletti; Roger M Enoka
Journal:  Exp Brain Res       Date:  2005-11-05       Impact factor: 1.972

9.  Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output.

Authors:  Christopher K Thompson; Francesco Negro; Michael D Johnson; Matthew R Holmes; Laura Miller McPherson; Randall K Powers; Dario Farina; Charles J Heckman
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Review 10.  Corticospinal responses to sustained locomotor exercises: moving beyond single-joint studies of central fatigue.

Authors:  Simranjit K Sidhu; Andrew G Cresswell; Timothy J Carroll
Journal:  Sports Med       Date:  2013-06       Impact factor: 11.136

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