Literature DB >> 26684024

Muscle fiber conduction velocity and fractal dimension of EMG during fatiguing contraction of young and elderly active men.

Gennaro Boccia1, Davide Dardanello, Matteo Beretta-Piccoli, Corrado Cescon, Giuseppe Coratella, Nicoletta Rinaldo, Marco Barbero, Massimo Lanza, Federico Schena, Alberto Rainoldi.   

Abstract

Over the past decade, linear and nonlinear surface electromyography (EMG) variables highlighting different components of fatigue have been developed. In this study, we tested fractal dimension (FD) and conduction velocity (CV) rate of changes as descriptors, respectively, of motor unit synchronization and peripheral manifestations of fatigue. Sixteen elderly (69  ±  4 years) and seventeen young (23  ±  2 years) physically active men (almost 3-5 h of physical activity per week) executed one knee extensor contraction at 70% of a maximal voluntary contraction for 30 s. Muscle fiber CV and FD were calculated from the multichannel surface EMG signal recorded from the vastus lateralis and medialis muscles. The main findings were that the two groups showed a similar rate of change of CV, whereas FD rate of change was higher in the young than in the elderly group. The trends were the same for both muscles. CV findings highlighted a non-different extent of peripheral manifestations of fatigue between groups. Nevertheless, FD rate of change was found to be steeper in the elderly than in the young, suggesting a greater increase in motor unit synchronization with ageing. These findings suggest that FD analysis could be used as a complementary variable providing further information on central mechanisms with respect to CV in fatiguing contractions.

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Year:  2015        PMID: 26684024     DOI: 10.1088/0967-3334/37/1/162

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  7 in total

1.  Increased resistance towards fatigability in patients with facioscapulohumeral muscular dystrophy.

Authors:  Matteo Beretta-Piccoli; Luca Calanni; Massimo Negro; Giulia Ricci; Cinzia Bettio; Marco Barbero; Angela Berardinelli; Gabriele Siciliano; Rossella Tupler; Emiliano Soldini; Corrado Cescon; Giuseppe D'Antona
Journal:  Eur J Appl Physiol       Date:  2021-03-01       Impact factor: 3.078

2.  Inter-Gender sEMG Evaluation of Central and Peripheral Fatigue in Biceps Brachii of Young Healthy Subjects.

Authors:  Federico Meduri; Matteo Beretta-Piccoli; Luca Calanni; Valentina Segreto; Giuseppe Giovanetti; Marco Barbero; Corrado Cescon; Giuseppe D'Antona
Journal:  PLoS One       Date:  2016-12-21       Impact factor: 3.240

3.  Antagonist Muscle Prefatigue Increases the Intracortical Communication between Contralateral Motor Cortices during Elbow Extension Contraction.

Authors:  Lejun Wang; Aidi Ma; Yuting Wang; Songhui You; Aiyun Lu
Journal:  J Healthc Eng       Date:  2017-07-31       Impact factor: 2.682

4.  Relationship between Isometric Muscle Force and Fractal Dimension of Surface Electromyogram.

Authors:  Matteo Beretta-Piccoli; Gennaro Boccia; Tessa Ponti; Ron Clijsen; Marco Barbero; Corrado Cescon
Journal:  Biomed Res Int       Date:  2018-03-15       Impact factor: 3.411

5.  Parameters of Surface Electromyogram Suggest That Dry Immersion Relieves Motor Symptoms in Patients With Parkinsonism.

Authors:  German G Miroshnichenko; Alexander Yu Meigal; Irina V Saenko; Liudmila I Gerasimova-Meigal; Liudmila A Chernikova; Natalia S Subbotina; Saara M Rissanen; Pasi A Karjalainen
Journal:  Front Neurosci       Date:  2018-09-26       Impact factor: 4.677

Review 6.  Complexity Analysis of Surface Electromyography for Assessing the Myoelectric Manifestation of Muscle Fatigue: A Review.

Authors:  Susanna Rampichini; Taian Martins Vieira; Paolo Castiglioni; Giampiero Merati
Journal:  Entropy (Basel)       Date:  2020-05-07       Impact factor: 2.524

7.  Muscle Performance Investigated With a Novel Smart Compression Garment Based on Pressure Sensor Force Myography and Its Validation Against EMG.

Authors:  Aaron Belbasis; Franz Konstantin Fuss
Journal:  Front Physiol       Date:  2018-04-19       Impact factor: 4.566

  7 in total

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