Literature DB >> 9349645

Mechanomyography of the human quadriceps muscle during incremental cycle ergometry.

M Shinohara1, M Kouzaki, T Yoshihisa, T Fukunaga.   

Abstract

The mechanical activity of the human quadriceps muscle during maximal incremental cycle ergometry was investigated by mechanomyography (MMG). MMG and surface electromyography (EMG) recordings of vastus lateralis muscle activity were obtained from nine males. Cycle ergometry was performed at 60 rev/ min and work load was incremented step wise by 20 W (3.2 Nm) every minute until volitional fatigue. The mean amplitudes of MMG (mMMG) and EMG (mEMG) during the contraction phase were calculated from the last six contractions in each load. The duration, load and work rate of exercise at exhaustion were 13.3 (1.6) min, 44.1 (5.5) Nm, 276.7 (34.7) W, respectively. A linear relationship between mMMG and load was evident in each subject (r = 0.868-0.995), while mEMG seemed to dissociate as the load became greater. In the grouped mean data, mMMG was linearly related to load whether aligned to the absolute (r = 0.995) or maximal (r = 0.995) load. Involvement of the noise component was further investigated by studying passive cycling by four subjects. Pedals were rotated passively for the first half of each stage (PAS) and the subject then pushed the pedals for the second half (ACT). In the lighter load region, the mMMG of ACT was as small as that of PAS. However, the change in the mMMG of PAS was very small compared with that of ACT. In conclusion, this study demonstrates a linear relationship between the mMMG of the quadriceps muscle and work load during maximal incremental cycle ergometry. The effect of movement noise was thought to be small and stable.

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Year:  1997        PMID: 9349645     DOI: 10.1007/s004210050254

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  9 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

2.  Comparison of displacement and acceleration transducers for the characterization of mechanics of muscle and subcutaneous tissues by system identification of a mechanomyogram.

Authors:  Takanori Uchiyama; Keita Shinohara
Journal:  Med Biol Eng Comput       Date:  2012-11-03       Impact factor: 2.602

3.  Inter-individual variability in the patterns of responses for electromyography and mechanomyography during cycle ergometry using an RPE-clamp model.

Authors:  Kristen C Cochrane-Snyman; Terry J Housh; Cory M Smith; Ethan C Hill; Nathaniel D M Jenkins; Richard J Schmidt; Glen O Johnson
Journal:  Eur J Appl Physiol       Date:  2016-06-20       Impact factor: 3.078

Review 4.  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

5.  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

Review 6.  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

Review 7.  Mechanomyographic amplitude and frequency responses during dynamic muscle actions: a comprehensive review.

Authors:  Travis W Beck; Terry J Housh; Joel T Cramer; Joseph P Weir; Glen O Johnson; Jared W Coburn; Moh H Malek; Michelle Mielke
Journal:  Biomed Eng Online       Date:  2005-12-19       Impact factor: 2.819

8.  Regional muscle oxygenation differences in vastus lateralis during different modes of incremental exercise.

Authors:  Michael D Kennedy; Mark J Haykowsky; Carol A Boliek; Ben T A Esch; Jessica M Scott; Darren E R Warburton
Journal:  Dyn Med       Date:  2006-07-03

9.  Indices reflecting muscle contraction performance during exercise based on a combined electromyography and mechanomyography approach.

Authors:  Takaki Kawashima; Hisao Oka; Shinichi Fukuhara
Journal:  Sci Rep       Date:  2021-10-27       Impact factor: 4.379

  9 in total

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