Literature DB >> 18618135

Mechanomyographic responses in quadriceps muscles during fatigue by continuous cycle exercise.

Tetsuya Kimura1, Mami Fujibayashi, Seitaro Tanaka, Toshio Moritani.   

Abstract

The present study examined whether the mechanomyogram (MMG) could assess the fatigue-related changes in muscle mechanical properties during cycle exercise. In eight male subjects, the MMG signals were measured in vastus lateralis and rectus femoris by electret condenser microphones. It was found that the integrated MMG (iMMG) showed non linear increase against workload during continuous, incremental cycle exercise and the onset of abrupt changes in iMMG coincided with the ventilatory threshold (VT). Specifically, iMMG in vastus lateralis showed a significant decrement in the rate of increase against workload above VT, reflecting the fatigue-induced impairment of contractile properties of the fibers of active motor units. These results suggest that the MMG measured by electret condenser microphone could be practically used to retrieve the fatigue-related changes in muscle mechanical properties during cycle exercise.

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Year:  2008        PMID: 18618135     DOI: 10.1007/s00421-008-0816-5

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  25 in total

1.  Electromyographic and mechanomyographic responses.

Authors:  A J Bull; T J Housh; G O Johnson; S R Perry
Journal:  Can J Appl Physiol       Date:  2000-08

2.  Assessment of lower-back muscle fatigue using electromyography, mechanomyography, and near-infrared spectroscopy.

Authors:  Y Yoshitake; H Ue; M Miyazaki; T Moritani
Journal:  Eur J Appl Physiol       Date:  2001-03       Impact factor: 3.078

3.  Relationship between electrical and vibratory output of muscle during voluntary contraction and fatigue.

Authors:  M J Zwarts; M Keidel
Journal:  Muscle Nerve       Date:  1991-08       Impact factor: 3.217

4.  Mechanomyography and oxygen consumption during incremental cycle ergometry.

Authors:  J R Stout; T J Housh; G O Johnson; T K Evetovich; D B Smith
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1997

Review 5.  Muscle sound: bases for the introduction of a mechanomyographic signal in muscle studies.

Authors:  C Orizio
Journal:  Crit Rev Biomed Eng       Date:  1993

6.  Acoustic myography during isometric fatigue in postpolio and control subjects.

Authors:  A A Rodriguez; J C Agre; T M Franke; E R Swiggum; J T Curt
Journal:  Muscle Nerve       Date:  1996-03       Impact factor: 3.217

7.  Muscular activity during ergometer cycling.

Authors:  M O Ericson; R Nisell; U P Arborelius; J Ekholm
Journal:  Scand J Rehabil Med       Date:  1985

8.  The muscle sound properties of different muscle fiber types during voluntary and electrically induced contractions.

Authors:  Y Yoshitake; T Moritani
Journal:  J Electromyogr Kinesiol       Date:  1999-06       Impact factor: 2.368

9.  Changes in contractile properties and neuromuscular propagation evaluated by simultaneous mechanomyogram and electromyogram during experimentally induced hypothermia.

Authors:  Tetsuya Kimura; Taku Hamada; Linda Massako Ueno; Toshio Moritani
Journal:  J Electromyogr Kinesiol       Date:  2003-10       Impact factor: 2.368

10.  Mechanical behaviour of condenser microphone in mechanomyography.

Authors:  M Watakabe; K Mita; K Akataki; Y Itoh
Journal:  Med Biol Eng Comput       Date:  2001-03       Impact factor: 3.079

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  6 in total

1.  Determination of Fatigue Following Maximal Loaded Treadmill Exercise by Using Wavelet Packet Transform Analysis and MLPNN from MMG-EMG Data Combinations.

Authors:  Gürkan Bilgin; I Ethem Hindistan; Y Gül Özkaya; Etem Köklükaya; Övünç Polat; Ömer H Çolak
Journal:  J Med Syst       Date:  2015-08-15       Impact factor: 4.460

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

Review 3.  A review of non-invasive techniques to detect and predict localised muscle fatigue.

Authors:  Mohamed R Al-Mulla; Francisco Sepulveda; Martin Colley
Journal:  Sensors (Basel)       Date:  2011-03-24       Impact factor: 3.576

4.  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

5.  Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor.

Authors:  G Ramos; J R Vaz; G V Mendonça; P Pezarat-Correia; J Rodrigues; M Alfaras; H Gamboa
Journal:  J Healthc Eng       Date:  2020-01-07       Impact factor: 2.682

6.  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

  6 in total

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