Literature DB >> 18629533

Interindividual variability of electromyographic patterns and pedal force profiles in trained cyclists.

François Hug1, Jean Marc Drouet, Yvan Champoux, Antoine Couturier, Sylvain Dorel.   

Abstract

The aim of this study was to determine whether high inter-individual variability of the electromyographic (EMG) patterns during pedaling is accompanied by variability in the pedal force application patterns. Eleven male experienced cyclists were tested at two submaximal power outputs (150 and 250 W). Pedal force components (effective and total forces) and index of mechanical effectiveness were measured continuously using instrumented pedals and were synchronized with surface electromyography signals measured in ten lower limb muscles. The intersubject variability of EMG and mechanical patterns was assessed using standard deviation, mean deviation, variance ratio and coefficient of cross-correlation (_R(0), with lag time = 0). The results demonstrated a high intersubject variability of EMG patterns at both exercise intensities for biarticular muscles as a whole (and especially for Gastrocnemius lateralis and Rectus femoris) and for one monoarticular muscle (Tibialis anterior). However, this heterogeneity of EMG patterns is not accompanied by a so high intersubject variability in pedal force application patterns. A very low variability in the three mechanical profiles (effective force, total force and index of mechanical effectiveness) was obtained in the propulsive downstroke phase, although a greater variability in these mechanical patterns was found during upstroke and around the top dead center, and at 250 W when compared to 150 W. Overall, these results provide additional evidence for redundancy in the neuromuscular system.

Mesh:

Year:  2008        PMID: 18629533     DOI: 10.1007/s00421-008-0810-y

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  31 in total

1.  A comparison of models explaining muscle activation patterns for isometric contractions.

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Journal:  Biol Cybern       Date:  1999-09       Impact factor: 2.086

2.  The effect of prolonged cycling on pedal forces.

Authors:  David J Sanderson; Alec Black
Journal:  J Sports Sci       Date:  2003-03       Impact factor: 3.337

3.  Heterogeneity of muscle recruitment pattern during pedaling in professional road cyclists: a magnetic resonance imaging and electromyography study.

Authors:  François Hug; David Bendahan; Yann Le Fur; Patrick J Cozzone; Laurent Grélot
Journal:  Eur J Appl Physiol       Date:  2004-04-20       Impact factor: 3.078

4.  The constrained control of force and position in multi-joint movements.

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Journal:  Neuroscience       Date:  1992       Impact factor: 3.590

5.  The quantification of EMG normalization error.

Authors:  G A Mirka
Journal:  Ergonomics       Date:  1991-03       Impact factor: 2.778

6.  The influence of cadence and power output on the biomechanics of force application during steady-rate cycling in competitive and recreational cyclists.

Authors:  D J Sanderson
Journal:  J Sports Sci       Date:  1991       Impact factor: 3.337

7.  Cross-correlation as a method for comparing dynamic electromyography signals during gait.

Authors:  Tishya A L Wren; K Patrick Do; Susan A Rethlefsen; Bitte Healy
Journal:  J Biomech       Date:  2005-10-10       Impact factor: 2.712

8.  Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis.

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Journal:  Arch Phys Med Rehabil       Date:  1984-09       Impact factor: 3.966

9.  Measurement of pedal loading in bicycling: I. Instrumentation.

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Journal:  J Biomech       Date:  1981       Impact factor: 2.712

10.  Neuropathic gait shows only trends towards increased variability of sagittal plane kinematics during treadmill locomotion.

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Journal:  Gait Posture       Date:  1999-09       Impact factor: 2.840

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  13 in total

1.  Change of muscle activation patterns in uphill cycling of varying slope.

Authors:  Nejc Sarabon; Borut Fonda; Goran Markovic
Journal:  Eur J Appl Physiol       Date:  2011-11-13       Impact factor: 3.078

2.  Muscle coordination limits efficiency and power output of human limb movement under a wide range of mechanical demands.

Authors:  Ollie M Blake; James M Wakeling
Journal:  J Neurophysiol       Date:  2015-10-07       Impact factor: 2.714

3.  Electromyographic analysis of hip adductor muscles during incremental fatiguing pedaling exercise.

Authors:  Kohei Watanabe; Keisho Katayama; Koji Ishida; Hiroshi Akima
Journal:  Eur J Appl Physiol       Date:  2009-05-24       Impact factor: 3.078

4.  Can the electromyographic fatigue threshold be determined from superficial elbow flexor muscles during an isometric single-joint task?

Authors:  François Hug; Antoine Nordez; Arnaud Guével
Journal:  Eur J Appl Physiol       Date:  2009-06-24       Impact factor: 3.078

5.  Validity of Calculating Continuous Relative Phase during Cycling from Measures Taken with Skin-Mounted Electro-Goniometers.

Authors:  Chris Whittle; Simon A Jobson; Neal Smith
Journal:  Sensors (Basel)       Date:  2022-06-09       Impact factor: 3.847

6.  The relationship between cadence, pedalling technique and gross efficiency in cycling.

Authors:  Stig Leirdal; Gertjan Ettema
Journal:  Eur J Appl Physiol       Date:  2011-03-25       Impact factor: 3.078

7.  Altered muscle coordination when pedaling with independent cranks.

Authors:  François Hug; Florian Boumier; Sylvain Dorel
Journal:  Front Physiol       Date:  2013-08-28       Impact factor: 4.566

Review 8.  Caveats and Recommendations to Assess the Validity and Reliability of Cycling Power Meters: A Systematic Scoping Review.

Authors:  Anthony Bouillod; Georges Soto-Romero; Frederic Grappe; William Bertucci; Emmanuel Brunet; Johan Cassirame
Journal:  Sensors (Basel)       Date:  2022-01-05       Impact factor: 3.576

9.  Feedback of mechanical effectiveness induces adaptations in motor modules during cycling.

Authors:  Cristiano De Marchis; Maurizio Schmid; Daniele Bibbo; Anna Margherita Castronovo; Tommaso D'Alessio; Silvia Conforto
Journal:  Front Comput Neurosci       Date:  2013-04-17       Impact factor: 2.380

10.  Intra-Individual Variability of Surface Electromyography in Front Crawl Swimming.

Authors:  Jonas Martens; Daniel Daly; Kevin Deschamps; Ricardo Jorge Pinto Fernandes; Filip Staes
Journal:  PLoS One       Date:  2015-12-16       Impact factor: 3.240

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