Literature DB >> 17070700

Time and frequency domain responses of the mechanomyogram and electromyogram during isometric ramp contractions: a comparison of the short-time Fourier and continuous wavelet transforms.

Eric D Ryan1, Joel T Cramer, Alison D Egan, Michael J Hartman, Trent J Herda.   

Abstract

The purposes of this study were to examine the mechanomyographic (MMG) and electromyographic (EMG) time and frequency domain responses of the vastus lateralis (VL) and rectus femoris (RF) muscles during isometric ramp contractions and compare the time-frequency of the MMG and EMG signals generated by the short-time Fourier transform (STFT) and continuous wavelet transform (CWT). Nineteen healthy subjects (mean+/-SD age=24+/-4 years) performed two isometric maximal voluntary contractions (MVCs) before and after completing 2-3, 6-s isometric ramp contractions from 5% to 100% MVC with the right leg extensors. MMG and surface EMG signals were recorded from the VL and RF muscles. Time domains were represented as root mean squared amplitude values, and time-frequency representations were generated using the STFT and CWT. Polynomial regression analyses indicated cubic increases in MMG amplitude, MMG frequency, and EMG frequency, whereas EMG amplitude increased quadratically. From 5% to 24-28% MVC, MMG amplitude remained stable while MMG frequency increased. From 24-28% to 76-78% MVC, MMG amplitude increased rapidly while MMG frequency plateaued. From 76-78% to 100% MVC, MMG amplitude plateaued (VL) or decreased (RF) while MMG frequency increased. EMG amplitude increased while EMG frequency changed only marginally across the force spectrum with no clear deflection points. Overall, these findings suggested that MMG may offer more unique information regarding the interactions between motor unit recruitment and firing rate that control muscle force production during ramp contractions than traditional surface EMG. In addition, although the STFT frequency patterns were more pronounced than the CWT, both algorithms produced similar time-frequency representations for tracking changes in MMG or EMG frequency.

Mesh:

Year:  2006        PMID: 17070700     DOI: 10.1016/j.jelekin.2006.09.003

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


  10 in total

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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.  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.  Sonomyographic responses during voluntary isometric ramp contraction of the human rectus femoris muscle.

Authors:  Xin Chen; Yong-Ping Zheng; Jing-Yi Guo; Zhenyu Zhu; Shing-Chow Chan; Zhiguo Zhang
Journal:  Eur J Appl Physiol       Date:  2011-11-13       Impact factor: 3.078

4.  The application of Hilbert-Huang transform in the analysis of muscle fatigue during cyclic dynamic contractions.

Authors:  Vedran Srhoj-Egekher; Mario Cifrek; Vladimir Medved
Journal:  Med Biol Eng Comput       Date:  2010-12-09       Impact factor: 2.602

5.  Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury.

Authors:  Jannatul Naeem; Nur Azah Hamzaid; Md Anamul Islam; Amelia Wong Azman; Manfred Bijak
Journal:  Med Biol Eng Comput       Date:  2019-01-28       Impact factor: 2.602

6.  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

7.  Age-specific differences in the time-frequency representation of surface electromyographic data recorded during a submaximal cyclic back extension exercise: a promising biomarker to detect early signs of sarcopenia.

Authors:  R Habenicht; G Ebenbichler; P Bonato; J Kollmitzer; S Ziegelbecker; L Unterlerchner; P Mair; T Kienbacher
Journal:  J Neuroeng Rehabil       Date:  2020-01-28       Impact factor: 4.262

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Authors:  Bruno Alessandro Rivieccio; Alessandra Micheletti; Manuel Maffeo; Matteo Zignani; Alessandro Comunian; Federica Nicolussi; Silvia Salini; Giancarlo Manzi; Francesco Auxilia; Mauro Giudici; Giovanni Naldi; Sabrina Gaito; Silvana Castaldi; Elia Biganzoli
Journal:  PLoS One       Date:  2021-02-25       Impact factor: 3.240

9.  Novel pseudo-wavelet function for MMG signal extraction during dynamic fatiguing contractions.

Authors:  Mohammed Rashid Al-Mulla; Francisco Sepulveda
Journal:  Sensors (Basel)       Date:  2014-05-28       Impact factor: 3.576

10.  Estimation of Electrically-Evoked Knee Torque from Mechanomyography Using Support Vector Regression.

Authors:  Morufu Olusola Ibitoye; Nur Azah Hamzaid; Ahmad Khairi Abdul Wahab; Nazirah Hasnan; Sunday Olusanya Olatunji; Glen M Davis
Journal:  Sensors (Basel)       Date:  2016-07-19       Impact factor: 3.576

  10 in total

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