Literature DB >> 20637234

Comparing electromyographic and mechanomyographic frequency-based fatigue thresholds to critical torque during isometric forearm flexion.

C Russell Hendrix1, Terry J Housh, Clayton L Camic, Jorge M Zuniga, Glen O Johnson, Richard J Schmidt.   

Abstract

UNLABELLED: Theoretically, the critical torque (CT), electromyographic mean power frequency fatigue threshold (EMG MPF(FT)), and mechanomyographic mean power frequency fatigue threshold (MMG MPF(FT)) describe the maximal non-fatiguing isometric torque level.
PURPOSE: The purposes of this study were threefold: (1) to determine if the mathematical model for estimating the EMG MPF(FT) during isometric muscle actions of the leg extensors was applicable to isometric muscle actions of the forearm flexors; (2) to determine if the mathematical model for estimating the EMG MPF(FT) from the frequency of the EMG signal was applicable to the frequency domain of the MMG signal to estimate a new fatigue threshold called the mechanomyographic mean power frequency fatigue threshold (MMG MPF(FT)); and (3) to compare the mean torque levels derived from the CT, EMG MPF(FT), and MMG MPF(FT) tests during isometric forearm flexion muscle actions.
METHODS: Ten adults (4 men and 6 women, mean ± SD; age = 22.0 ± 2.1 years) performed three or four continuous, fatiguing, isometric muscle actions of the forearm flexors at 30, 45, 60, and 75% of maximum voluntary isometric contraction (MVIC) to determine the time to exhaustion (T(lim)) values. The slope coefficient of the linear relationship between total isometric "work" (W(lim) in Nms=torque × T(lim)) and T(lim) was defined as the CT. Surface EMG and MMG signals were recorded from the biceps brachii muscle during each fatiguing isometric muscle action. The EMG and MMG MPF(FT) were defined as the y-intercepts of the isometric torque versus slope coefficient (EMG and MMG MPF versus time) plots.
RESULTS: There were no significant differences between fatigue thresholds (CT=26.3 ± 0.8, EMG MPF(FT)=31.4 ± 4.2, and MMG MPF(FT)=29.5 ± 7.0%MVIC), and the mean torque values (Nm) from the three fatigue thresholds were significantly intercorrelated at r = 0.94-0.96.
CONCLUSION: The EMG MPF(FT) test may provide a non-invasive method to examine the effects of interventions on the conduction velocity and shape of the action potential waveform. In addition, the effects of interventions on the global motor unit firing rate of the unfused, activated motor units may be examined by the non-invasive methods of the MMG MPF(FT) test.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20637234     DOI: 10.1016/j.jneumeth.2010.07.006

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  8 in total

1.  A new layered sensor for simultaneous measurement of EMG, MMG and oxygen consumption at the same position.

Authors:  Akira Kimoto; Yuji Yamada
Journal:  Med Biol Eng Comput       Date:  2014-10-10       Impact factor: 2.602

Review 2.  Peripheral fatigue: new mechanistic insights from recent technologies.

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

3.  Mechanomyographic parameter extraction methods: an appraisal for clinical applications.

Authors:  Morufu Olusola Ibitoye; Nur Azah Hamzaid; Jorge M Zuniga; Nazirah Hasnan; Ahmad Khairi Abdul Wahab
Journal:  Sensors (Basel)       Date:  2014-12-03       Impact factor: 3.576

4.  Ultrasound Measurement of Skeletal Muscle Contractile Parameters Using Flexible and Wearable Single-Element Ultrasonic Sensor.

Authors:  Ibrahim AlMohimeed; Yuu Ono
Journal:  Sensors (Basel)       Date:  2020-06-27       Impact factor: 3.576

5.  A systematic review of muscle activity assessment of the biceps brachii muscle using mechanomyography.

Authors:  Irsa Talib; Kenneth Sundaraj; Chee Kiang Lam; Sebastian Sundaraj
Journal:  J Musculoskelet Neuronal Interact       Date:  2018-12-01       Impact factor: 2.041

6.  A model-based estimation of critical torques reduces the experimental effort compared to conventional testing.

Authors:  Johannes L Herold; Andreas Sommer
Journal:  Eur J Appl Physiol       Date:  2020-04-10       Impact factor: 3.078

7.  Fatigue effect on cross-talk in mechanomyography signals of extensor and flexor forearm muscles during maximal voluntary isometric contractions.

Authors:  Mohamad Razif Mohamad Ismail; Chee Kiang Lam; Kenneth Sundaraj; Mohd Hafiz Fazalul Rahiman
Journal:  J Musculoskelet Neuronal Interact       Date:  2021-12-01       Impact factor: 2.041

Review 8.  Mechanomyogram for muscle function assessment: a review.

Authors:  Md Anamul Islam; Kenneth Sundaraj; R Badlishah Ahmad; Nizam Uddin Ahamed
Journal:  PLoS One       Date:  2013-03-11       Impact factor: 3.240

  8 in total

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