Literature DB >> 20144921

Experimental analysis of accuracy in the identification of motor unit spike trains from high-density surface EMG.

Ales Holobar1, Marco Alessandro Minetto, Alberto Botter, Francesco Negro, Dario Farina.   

Abstract

The aim of this study was to compare the decomposition results obtained from high-density surface electromyography (EMG) and concurrently recorded intramuscular EMG. Surface EMG signals were recorded with electrode grids from the tibialis anterior, biceps brachii, and abductor digiti minimi muscles of twelve healthy men during isometric contractions ranging between 5% and 20% of the maximal force. Bipolar intramuscular EMG signals were recorded with pairs of wire electrodes. Surface and intramuscular EMG were independently decomposed into motor unit spike trains. When averaged over all the contractions of the same contraction force, the percentage of discharge times of motor units identified by both decompositions varied in the ranges 84%-87% (tibialis anterior), 84%-86% (biceps brachii), and 87%-92% (abductor digiti minimi) across the force levels analyzed. This index of agreement between the two decompositions was linearly correlated with a self-consistency measure of motor unit discharge pattern that was based on coefficient of variation for the interspike interval (R(2) = 0.68 for tibialis anterior, R(2) = 0.56 for biceps brachii, and R(2) = 0.38 for abductor digiti minimi). These results constitute an important contribution to the validation of the noninvasive approach for the investigation of motor unit behavior in isometric low-force tasks.

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Year:  2010        PMID: 20144921     DOI: 10.1109/TNSRE.2010.2041593

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  43 in total

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3.  Distinguishing intrinsic from extrinsic factors underlying firing rate saturation in human motor units.

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Journal:  J Neurophysiol       Date:  2014-12-04       Impact factor: 2.714

4.  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

Review 5.  The potential for understanding the synaptic organization of human motor commands via the firing patterns of motoneurons.

Authors:  Michael D Johnson; Christopher K Thompson; Vicki M Tysseling; Randall K Powers; Charles J Heckman
Journal:  J Neurophysiol       Date:  2017-03-29       Impact factor: 2.714

6.  Motor unit activity, force steadiness, and perceived fatigability are correlated with mobility in older adults.

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Journal:  J Neurophysiol       Date:  2018-07-25       Impact factor: 2.714

7.  A new and fast approach towards sEMG decomposition.

Authors:  Ivan Gligorijević; Johannes P van Dijk; Bogdan Mijović; Sabine Van Huffel; Joleen H Blok; Maarten De Vos
Journal:  Med Biol Eng Comput       Date:  2013-01-18       Impact factor: 2.602

8.  Differences in estimated persistent inward currents between ankle flexors and extensors in humans.

Authors:  Edward H Kim; Jessica M Wilson; Christopher K Thompson; Charles J Heckman
Journal:  J Neurophysiol       Date:  2020-07-15       Impact factor: 2.714

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
Journal:  J Physiol       Date:  2018-06-09       Impact factor: 5.182

10.  Functional mapping of the pelvic floor and sphincter muscles from high-density surface EMG recordings.

Authors:  Yun Peng; Jinbao He; Rose Khavari; Timothy B Boone; Yingchun Zhang
Journal:  Int Urogynecol J       Date:  2016-05-18       Impact factor: 2.894

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