Reliability of quantitative EMG analysis of the extensor carpi radialis muscle.

J Neurosci Methods

Motor Performance Laboratory, School of Rehabilitation Therapy, Louise D. Acton Building, 31 George Street, Queen's University, Kingston, Ontario, Canada.

Published: March 2008

AI Article Synopsis

  • The study examined the reliability of quantitative electromyographic (EMG) analysis, specifically using decomposition-based quantitative electromyography (DQEMG), to evaluate motor units during low-level muscle contractions.
  • It involved two experienced operators assessing EMG data over multiple sessions, measuring differences in motor unit potentials (MUPs) and their morphological characteristics using statistical methods like ANOVA and intraclass correlation coefficients (ICCs).
  • Results indicated significant variability in MUP durations and other parameters between operators, but overall, DQEMG demonstrated high reliability for both intra- and inter-operator assessments, suggesting it can be effectively used for muscle analysis.

Article Abstract

This study investigated the within-subject, intra- and inter-operator reliability of quantitative electromyographic (EMG) analysis using decomposition-based quantitative electromyography (DQEMG). Needle and surface-detected EMG signals were collected during low-level isometric contractions of the extensor carpi radialis (ECR) muscle. DQEMG was used to extract needle-detected motor unit potential (MUP) trains and surface-detected MUPs (SMUPs) associated with each train. Two independent experienced operators re-decomposed and processed the MUP data on two separate occasions. One-way analyses of variance (ANOVA) were performed to identify within-subject differences (test-retest, n=6), and operator and trial differences (intra- and inter-operator, n=20) for the MUP morphological variables. The within-subject reliability, as well as the intra- and inter-operator reliability were estimated using intraclass correlation coefficients (ICCs). The 95% limits of agreement were calculated to measure within-subject and between operator agreements. MUP durations were found to be significantly different between days (p<0.05). For intra- and inter-operator reliability, a significant difference was found within and between the operators for MUP duration, and between the operators for MUP number of turns (p<0.05). SMUP morphological parameters yielded higher ICC values for both intra (0.96-0.99) and inter (0.96-0.99) operator scores when compared to MUP morphological parameters (intra-operator: 0.81-0.99; and inter-operator: 0.67-0.98). Mean motor unit (MU) firing rate was found to be a highly reliable measure for both intra- and inter-operators (0.99-0.97, respectively). The between-operator agreement was above 95% for all morphological parameters. These results concerning within-subject, intra- and inter-operator reliability and levels of agreement for quantitative motor unit analysis suggest that DQEMG provides sufficiently consistent results to allow it to be effectively used for QEMG analysis. Needle-detected MUP morphology although clinically useful in the diagnosis and monitoring of neuropathies, was not as reliable as surface MUP QEMG measures.

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http://dx.doi.org/10.1016/j.jneumeth.2007.10.008DOI Listing

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