Literature DB >> 32305018

The reliability of surface EMG derived motor unit variables.

Thomas Hoshizaki1, Edward A Clancy2, David A Gabriel1, Lara A Green3.   

Abstract

Motor unit (MU) recordings obtained from surface electromyography (sEMG) decomposition are used to investigate the neural control of muscle in response to interventions, but our understanding of the longer-term reliability of MU variables is limited. This study examined the reliability of MU variables in the flexor carpi radialis (FCR) and tibialis anterior (TA) over a three-month period. Forty college-aged participants completed isometric wrist flexion (n = 20) and dorsiflexion (n = 20). There were 3 maximal isometric voluntary contractions (MVC) and 3 ramp contractions to 60% of MVC on four separate sessions separated by a total of 13 weeks. Intraclass correlation coefficients (ICC) were calculated from a fully nested ANOVA model. Maximal force was highly reliable (ICC = 0.94-0.99). The ICC values ranged from 0.49 to 0.92 for the FCR MU variables and from 0.58 to 0.96 for the TA MU variables. All MU variables exhibited a high degree of stability of means across test session and consistency within subjects, with the exception of the number of MUs detected in the TA. Poor ICC values did not reflect poor reliability but rather, convergence towards a narrow range of physiologically normal values. Surface EMG decomposition of a large population of MUs showed no differences in common drive between FCR (0.273) and for the TA (0.267) across test sessions. Forty percent of the sampled MUs in both muscles had a common drive of 0.30 or greater, which provides indirect support for the validity of the decompositions. MU variables may be used to monitor adaptations to a longer-term intervention study.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Intraclass correlation coefficient; Motor unit; Motor unit discharge rates; Reliability; Surface electromyography

Year:  2020        PMID: 32305018     DOI: 10.1016/j.jelekin.2020.102419

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


  2 in total

1.  Neuromotor control associates with muscle weakness observed with McArdle sign of multiple sclerosis.

Authors:  Nathan D Schilaty; Filippo Savoldi; Zahra Nasr; Brian G Weinshenker
Journal:  Ann Clin Transl Neurol       Date:  2022-03-15       Impact factor: 4.511

2.  How to Work with Electromyography Decomposition in Practical Classes of Exercise Physiology and Biomechanics.

Authors:  Jose I Priego-Quesada; Márcio F Goethel; Klaus Magno Becker; Ricardo J Fernandes; João Paulo Vilas-Boas
Journal:  Life (Basel)       Date:  2022-03-26
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.