Literature DB >> 28171785

Dynamic versus isometric electromechanical delay in non-fatigued and fatigued muscle: A combined electromyographic, mechanomyographic, and force approach.

Cory M Smith1, Terry J Housh2, Ethan C Hill2, Glen O Johnson2, Richard J Schmidt2.   

Abstract

This study used a combined electromyographic, mechanomyographic, and force approach to identify electromechanical delay (EMD) from the onsets of the electromyographic to force signals (EMDE-F), onsets of the electromyographic to mechanomyogrpahic signals (EMDE-M), and onsets of mechanomyographic to force signals (EMDM-F). The purposes of the current study were to examine: (1) the differences in EMDE-F, EMDE-M, and EMDM-F from the vastus lateralis during maximal, voluntary dynamic (1 repetition maximum [1-RM]) and isometric (maximal voluntary isometric contraction [MVIC]) muscle actions; and (2) the effects of fatigue on EMDE-F, EMDM-F, and EMDE-M. Ten men performed pretest and posttest 1-RM and MVIC leg extension muscle actions. The fatiguing workbout consisted of 70% 1-RM dynamic constant external resistance leg extension muscle actions to failure. The results indicated that there were no significant differences between 1-RM and MVIC EMDE-F, EMDE-M, or EMDM-F. There were, however, significant fatigue-induced increases in EMDE-F (94% and 63%), EMDE-M (107%), and EMDM-F (63%) for both the 1-RM and MVIC measurements. Therefore, these findings demonstrated the effects of fatigue on EMD measures and supported comparisons among studies which examined dynamic or isometric EMD measures from the vastus lateralis using a combined electromyographic, mechanomyographic, and force approach.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  1-RM; EMD; EMG; MMG; MVIC

Mesh:

Year:  2017        PMID: 28171785     DOI: 10.1016/j.jelekin.2017.01.008

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


  3 in total

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Authors:  Emiliano Cè; Stefano Longo; Eloisa Limonta; Giuseppe Coratella; Susanna Rampichini; Fabio Esposito
Journal:  Eur J Appl Physiol       Date:  2019-11-19       Impact factor: 3.078

2.  A biosignal analysis for reducing prosthetic control durations: a proposed method using electromyographic and mechanomyographic control theory.

Authors:  Cory M Smith; Terry J Housh; Ethan C Hill; Joshua L Keller; Glen O Johnson; Richard J Schmidt
Journal:  J Musculoskelet Neuronal Interact       Date:  2019-06-01       Impact factor: 2.041

3.  How Does Lower Limb Respond to Unexpected Balance Perturbations? New Insights from Synchronized Human Kinetics, Kinematics, Muscle Electromyography (EMG) and Mechanomyography (MMG) Data.

Authors:  Ringo Tang-Long Zhu; Pei-Zhao Lyu; Shuai Li; Cheuk Ying Tong; Yan To Ling; Christina Zong-Hao Ma
Journal:  Biosensors (Basel)       Date:  2022-06-18
  3 in total

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