Literature DB >> 20172740

A noninvasive, log-transform method for fiber type discrimination using mechanomyography.

Trent J Herda1, Terry J Housh, Andrew C Fry, Joseph P Weir, Brian K Schilling, Eric D Ryan, Joel T Cramer.   

Abstract

This study examined the log-transformed mechanomyographic (MMG(RMS)) and electromyographic (EMG(RMS)) amplitude vs. force relationships for aerobically-trained (AT), resistance-trained (RT), and sedentary (SED) individuals. Subjects performed isometric ramp contractions from 5% to 90% maximal voluntary contraction. Muscle biopsies were collected and thigh skinfolds, MMG and EMG were recorded from the vastus lateralis muscle. Linear regression models were fit to the log-transformed EMG(RMS) and MMG(RMS) vs. force relationships. The slope (b coefficient) and the antilog of the y-intercept (a coefficient) were calculated. The AT group had the highest percentage of type I fiber area, the RT group had the highest percentage of type IIa fiber area, and the SED group had the highest percentage of type IIx fiber area. The a coefficients were higher for the AT group than the RT and SED groups in both the MMG(RMS) and EMG(RMS) vs. force relationships, whereas the b coefficients were lower for the AT group than the RT and SED groups only in the MMG(RMS) vs. force relationship. The group differences among the a coefficients may have reflected subcutaneous fat acting as a filter thereby reducing EMG(RMS) and MMG(RMS). The lower b coefficients for the AT group in the MMG(RMS) patterns may have reflected fiber area-related differences in motor unit activation strategies. Published by Elsevier Ltd.

Mesh:

Year:  2010        PMID: 20172740     DOI: 10.1016/j.jelekin.2010.01.004

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


  11 in total

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Authors:  Nathaniel D M Jenkins; Terry J Housh; Haley C Bergstrom; Kristen C Cochrane; Ethan C Hill; Cory M Smith; Glen O Johnson; Richard J Schmidt; Joel T Cramer
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2.  Muscle-related differences in mechanomyography frequency-force relationships are model dependent.

Authors:  Trent J Herda; Michael A Cooper
Journal:  Med Biol Eng Comput       Date:  2015-03-25       Impact factor: 2.602

3.  Endurance training alters motor unit activation strategies for the vastus lateralis, yet sex-related differences and relationships with muscle size remain.

Authors:  Stephanie A Sontag; Michael A Trevino; Trent J Herda; Adam J Sterczala; Jonathan D Miller; Mandy E Parra; Hannah L Dimmick; Jake Deckert
Journal:  Eur J Appl Physiol       Date:  2021-02-18       Impact factor: 3.078

4.  A Coupled Piezoelectric Sensor for MMG-Based Human-Machine Interfaces.

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Journal:  Sensors (Basel)       Date:  2021-12-15       Impact factor: 3.576

5.  The influence of chronic training status on the mechanical behavior of the vastus lateralis during repetitive trapezoidal contractions.

Authors:  Alex A Olmos; Trent J Herda; Stephanie A Sontag; Michael A Trevino
Journal:  J Musculoskelet Neuronal Interact       Date:  2022-06-01       Impact factor: 1.864

6.  Influence of the contractile properties of muscle on motor unit firing rates during a moderate-intensity contraction in vivo.

Authors:  Michael A Trevino; Trent J Herda; Andrew C Fry; Philip M Gallagher; John P Vardiman; Eric M Mosier; Jonathan D Miller
Journal:  J Neurophysiol       Date:  2016-05-04       Impact factor: 2.714

7.  Non-invasive assessment of equine muscular function: A case study.

Authors:  K H Riis; A P Harrison; K Riis-Olesen
Journal:  Open Vet J       Date:  2013-07-12

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

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Journal:  Sensors (Basel)       Date:  2014-12-03       Impact factor: 3.576

Review 9.  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

10.  Portable acoustic myography - a realistic noninvasive method for assessment of muscle activity and coordination in human subjects in most home and sports settings.

Authors:  Adrian P Harrison; Bente Danneskiold-Samsøe; Else M Bartels
Journal:  Physiol Rep       Date:  2013-07-10
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