Literature DB >> 21804424

Electromyographic activity and rate of muscle fatigue of the quadriceps femoris during cycling exercise in the severe domain.

Thiago V Camata1, Leandro R Altimari, Henrique Bortolotti, Jose L Dantas, Eduardo B Fontes, Bruno P C Smirmaul, Alexandre H Okano, Mara P T Chacon-Mikahil, Antonio C Moraes.   

Abstract

This study compared the activation pattern and the fatigue rate among the superficial muscles of the quadriceps femoris (QF) during severe cycling exercise. Peak oxygen consumption (VO(2)peak) and maximal accumulated oxygen Deficit (MAOD) were established by 10 well-trained male cyclists (27.5 ± 4.1 years, 71.0 ± 10.3 kg, 173.4 ± 6.6 cm, mean VO(2)peak 56.7 ± 4.4 ml·kg·min(-1), mean MAOD 5.7 ± 1.1 L). Muscle activity (electromyographic [EMG] signals) was obtained during the supramaximal constant workload test (MAOD) and expressed by root mean square (RMS) and median frequency (MF slope). The RMS of the QF, vastus lateralis (VL) and vastus medialis (VM) muscles were significantly higher than at the beginning after 75% of exercise duration, whereas for the rectus femoris (RF), this was observed after 50% of exercise duration (p ≤ 0.05). The slope of the MF was significantly higher in the RF, followed by the VL and VM (-3.13 ± 0.52 vs. -2.61 ± 0.62 vs. -1.81 ±0.56, respectively; p < 0.05). We conclude that RF may play an important role in limiting performance during severe cycling exercise.

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Year:  2011        PMID: 21804424     DOI: 10.1519/JSC.0b013e318202e6a0

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  6 in total

1.  Muscle O2 extraction reserve during intense cycling is site-specific.

Authors:  Matthew D Spencer; Tatsuro Amano; Narihiko Kondo; John M Kowalchuk; Shunsaku Koga
Journal:  J Appl Physiol (1985)       Date:  2014-09-25

2.  Glucocorticoids improve high-intensity exercise performance in humans.

Authors:  Rafael A Casuso; Lars Melskens; Thomas Bruhn; Niels H Secher; Nikolai Baastrup Nordsborg
Journal:  Eur J Appl Physiol       Date:  2013-12-11       Impact factor: 3.078

3.  Neuromuscular fatigue during 200 m breaststroke.

Authors:  Ana Conceição; António J Silva; Tiago Barbosa; István Karsai; Hugo Louro
Journal:  J Sports Sci Med       Date:  2014-01-20       Impact factor: 2.988

4.  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

5.  Feasibility of Muscle Activity Assessment With Surface Electromyography During Bed Cycling Exercise In Intensive Care Unit Patients.

Authors:  Juultje Sommers; Michelle Van Den Boorn; Raoul H H Engelbert; Frans Nollet; Marike Van Der Schaaf; Janneke Horn
Journal:  Muscle Nerve       Date:  2018-10-02       Impact factor: 3.217

6.  Effect of increasing workload on knee extensor and flexor muscular activity during cycling as measured with intramuscular electromyography.

Authors:  Julio Cézar Lima da Silva; Maria M Ekblom; Olga Tarassova; Eva Andersson; Gustaf Rönquist; Helene Grundström; Anton Arndt
Journal:  PLoS One       Date:  2018-08-02       Impact factor: 3.240

  6 in total

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