Literature DB >> 18539484

The vastus lateralis neuromuscular activity during all-out cycling exercise.

Stephane Bercier1, Renaud Halin, Philippe Ravier, Jean-Francois Kahn, Jean-Claude Jouanin, Anne-Marie Lecoq, Olivier Buttelli.   

Abstract

OBJECTIVE: The objective of this work was to study modifications in motor control through surface electromyographic (sEMG) activity during a very short all-out cycling exercise.
METHODS: Twelve male cyclists (age 23+/-4 years) participated in this study. After a warm-up period, each subject performed three all-out cycling exercises of 6s separated by 2 min of complete rest. This protocol was repeated three times with a minimum of 2 days between each session. The braking torque imposed on cycling motion was 19 Nm. The sEMG of the vastus lateralis was recorded during the first seven contractions of the sprint. Time-frequency analysis of sEMG was performed using continuous wavelet transform. The mean power frequency (MPF, qualitative modifications in the recruitment of motor units) and signal energy (a quantitative indicator of modifications in the motor units recruitment) were computed for the frequency range 10-500 Hz.
RESULTS: sEMG energy increased (P0.05) between contraction number 1 and 2, decreased (P < or =0.05) between contraction number 2 and 3 then stabilized between contraction number 3 and 7 during the all-out test. MPF increased (P < or =0.05) during the all-out test. This increase was more marked during the first two contractions.
CONCLUSIONS: The decrease in energy and the increase in the sEMG MPF suggest a large spatial recruitment of motor units (MUs) at the beginning of the sprint followed by a preferential recruitment of faster MUs at the end of the sprint, respectively.

Mesh:

Year:  2008        PMID: 18539484     DOI: 10.1016/j.jelekin.2008.03.012

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


  5 in total

1.  Predicting Blood Lactate Concentration and Oxygen Uptake from sEMG Data during Fatiguing Cycling Exercise.

Authors:  Petras Ražanskas; Antanas Verikas; Charlotte Olsson; Per-Arne Viberg
Journal:  Sensors (Basel)       Date:  2015-08-19       Impact factor: 3.576

2.  A Comparative Study of EMG Indices in Muscle Fatigue Evaluation Based on Grey Relational Analysis during All-Out Cycling Exercise.

Authors:  Lejun Wang; Yuting Wang; Aidi Ma; Guoqiang Ma; Yu Ye; Ruijie Li; Tianfeng Lu
Journal:  Biomed Res Int       Date:  2018-04-16       Impact factor: 3.411

3.  Neuromuscular Fatigue Responses of Endurance- and Strength-Trained Athletes during Incremental Cycling Exercise.

Authors:  Maciej Jurasz; Michał Boraczyński; Zbigniew Wójcik; Piotr Gronek
Journal:  Int J Environ Res Public Health       Date:  2022-07-21       Impact factor: 4.614

4.  Influence of Affective Stimuli on Leg Power Output and Associated Neuromuscular Parameters during Repeated High Intensity Cycling Exercises.

Authors:  Hamdi Jaafar; Majdi Rouis; Laure Coudrat; Thierry Gélat; Timothy David Noakes; Tarak Driss
Journal:  PLoS One       Date:  2015-08-25       Impact factor: 3.240

5.  The Refined Composite Downsampling Permutation Entropy Is a Relevant Tool in the Muscle Fatigue Study Using sEMG Signals.

Authors:  Philippe Ravier; Antonio Dávalos; Meryem Jabloun; Olivier Buttelli
Journal:  Entropy (Basel)       Date:  2021-12-09       Impact factor: 2.524

  5 in total

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