Literature DB >> 20444646

Decoding the neural drive to muscles from the surface electromyogram.

Dario Farina1, Ales Holobar, Roberto Merletti, Roger M Enoka.   

Abstract

This brief review discusses the methods used to estimate the neural drive to muscles from the surface electromyogram (EMG). Surface EMG has been classically used to infer the neural activation of muscle by associating its amplitude with the number of action potentials discharged by a population of motor neurons. Although this approach is valuable in some applications, the amplitude of the surface EMG is only a crude indicator of the neural drive to muscle. More advanced methods are now available to estimate the neural drive to muscle from the surface EMG. These approaches identify the discharge times of a few motor units by decomposing the EMG signal to determine the relative changes in neural activation. This approach is reliable in several conditions and muscles for isometric contractions of moderate force, but is limited to the few superficial units that can be identified in the recordings. Copyright 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20444646     DOI: 10.1016/j.clinph.2009.10.040

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  61 in total

1.  Techniques and applications of EMG: measuring motor units from structure to function.

Authors:  Rachel C Thornton; Andrew W Michell
Journal:  J Neurol       Date:  2012-01-25       Impact factor: 4.849

2.  Comparison of maximal unilateral versus bilateral voluntary contraction force.

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Journal:  Eur J Appl Physiol       Date:  2010-12-28       Impact factor: 3.078

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Authors:  Kohei Watanabe; Motoki Kouzaki; Toshio Moritani
Journal:  Eur J Appl Physiol       Date:  2015-08-09       Impact factor: 3.078

4.  Absence of lateral gastrocnemius activity and differential motor unit behavior in soleus and medial gastrocnemius during standing balance.

Authors:  Martin E Héroux; Christopher J Dakin; Billy L Luu; John Timothy Inglis; Jean-Sébastien Blouin
Journal:  J Appl Physiol (1985)       Date:  2013-12-05

5.  Accurate and representative decoding of the neural drive to muscles in humans with multi-channel intramuscular thin-film electrodes.

Authors:  Silvia Muceli; Wigand Poppendieck; Francesco Negro; Ken Yoshida; Klaus P Hoffmann; Jane E Butler; Simon C Gandevia; Dario Farina
Journal:  J Physiol       Date:  2015-09-01       Impact factor: 5.182

6.  Contribution of intrinsic motoneuron properties to discharge hysteresis and its estimation based on paired motor unit recordings: a simulation study.

Authors:  Randall K Powers; C J Heckman
Journal:  J Neurophysiol       Date:  2015-04-22       Impact factor: 2.714

7.  Modulation of motor unit activity in biceps brachii by neuromuscular electrical stimulation applied to the contralateral arm.

Authors:  Ioannis G Amiridis; Diba Mani; Awad Almuklass; Boris Matkowski; Jeffrey R Gould; Roger M Enoka
Journal:  J Appl Physiol (1985)       Date:  2015-04-30

8.  Estimating reflex responses in large populations of motor units by decomposition of the high-density surface electromyogram.

Authors:  Utku Ş Yavuz; Francesco Negro; Oğuz Sebik; Aleŝ Holobar; Cornelius Frömmel; Kemal S Türker; Dario Farina
Journal:  J Physiol       Date:  2015-08-02       Impact factor: 5.182

9.  Predicting electromyographic signals under realistic conditions using a multiscale chemo-electro-mechanical finite element model.

Authors:  Mylena Mordhorst; Thomas Heidlauf; Oliver Röhrle
Journal:  Interface Focus       Date:  2015-04-06       Impact factor: 3.906

10.  Corticospinal and transcallosal modulation of unilateral and bilateral contractions of lower limbs.

Authors:  Jakob Škarabot; Ruben Perellón Alfonso; Neil Cronin; Jure Bon; Vojko Strojnik; Janne Avela
Journal:  Eur J Appl Physiol       Date:  2016-09-14       Impact factor: 3.078

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