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    Maximal contraction methods influence the magnitude and reliability of global electromyographic signal characteristics


    Tomko, Patrick M., Colquhoun, Ryan J., Banks, Nile, Magrini, Mitchel A., Muddle, Tyler W.D. and Jenkins, Nathaniel D.M. (2019) Maximal contraction methods influence the magnitude and reliability of global electromyographic signal characteristics. Journal of Electromyography and Kinesiology, 48. pp. 121-127. ISSN 1050-6411

    Abstract

    Objective The purpose was two-fold: (1) to examine differences in maximal voluntary isometric torque (MVIT) production, and electromyographic signal amplitude (EMGAMP) and mean power frequency (EMGMPF) values obtained during traditional (MVICTRAD), rapid (MVICRAPID), and ramp (MVICRAMP) maximal voluntary isometric contractions, and (2) to determine if there were differences in the reliability of MVIT, EMGAMP and EMGMPF among the three MVIC types. Approach Twenty-two young males and females completed MVICTRAD, MVICRAPID, and MVICRAMP muscle actions on two separate visits separated by 48 h. During all MVICs, MVIT and EMGAMP and EMGMPF of the vastus lateralis (VL) and rectus femoris (RF) were quantified. Main results MVIT was greater during MVICTRAD and MVICRAPID than during MVITRAMP (both p < 0.001). VL and RF EMGAMP were greater during MVICRAMP than during MVICRAPID (p = 0.02 and 0.004). For EMGMPF, there were no significant differences among MVIC types. Although all MVIC types generally resulted in reliable measurements of MVIT and EMGAMP, reliability was stronger for EMGMPF quantified during the MVICRAMP. Significance Investigators may choose MVIC type based on preference or equipment availability. However, investigators should note that MVICRAMP contractions will likely yield the greatest EMGAMP values and more reliable measurements of VL and RF EMGMPF.
    Item Type: Article
    Keywords: Neuromuscular; Knee extensors; Time-domain; Frequency-domain; Intra-class correlation coefficient;
    Academic Unit: Faculty of Science and Engineering > Sports Science and Nutrition
    Item ID: 20776
    Identification Number: 10.1016/j.jelekin.2019.07.002
    Depositing User: Nile Banks
    Date Deposited: 30 Oct 2025 13:43
    Journal or Publication Title: Journal of Electromyography and Kinesiology
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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