Literature DB >> 18093842

Electromyographic analysis of pedaling: a review.

François Hug1, Sylvain Dorel.   

Abstract

Although pedaling is constrained by the circular trajectory of the pedals, it is not a simple movement. This review attempts to provide an overview of the pedaling technique using an electromyographic (EMG) approach. Literature concerning the electromyographic analysis of pedaling is reviewed in an effort to make a synthesis of the available information, and to point out its relevance for researchers, clinicians and/or cycling/triathlon trainers. The first part of the review depicts methodological aspects of the EMG signal recording and processing. We show how the pattern of muscle activation during pedaling can be analyzed in terms of muscle activity level and muscle activation timing. Muscle activity level is generally quantified with root mean square or integrated EMG values. Muscle activation timing is studied by defining EMG signal onset and offset times that identify the duration of EMG bursts and, more recently, by the determination of a lag time maximizing the cross-correlation coefficient. In the second part of the review, we describe whether the patterns of the lower limb muscles activity are influenced by numerous factors affecting pedaling such as power output, pedaling rate, body position, shoe-pedal interface, training status and fatigue. Some research perspectives linked to pedaling performance are discussed throughout the manuscript and in the conclusion.

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Mesh:

Year:  2008        PMID: 18093842     DOI: 10.1016/j.jelekin.2007.10.010

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


  57 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.  Influence of musculo-tendinous stiffness of the plantar ankle flexor muscles upon maximal power output on a cycle ergometre.

Authors:  Tarak Driss; Daniel Lambertz; Majdi Rouis; Henry Vandewalle
Journal:  Eur J Appl Physiol       Date:  2012-02-22       Impact factor: 3.078

3.  In-season strength maintenance training increases well-trained cyclists' performance.

Authors:  Bent R Rønnestad; Ernst Albin Hansen; Truls Raastad
Journal:  Eur J Appl Physiol       Date:  2010-08-27       Impact factor: 3.078

4.  Muscle fatigue in participants of indoor cycling.

Authors:  Ricardo de Melo Dos Santos; Flavio Costa E Costa; Thais Sepeda Saraiva; Bianca Callegari
Journal:  Muscles Ligaments Tendons J       Date:  2017-05-10

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

Authors:  François Hug; Jean Marc Drouet; Yvan Champoux; Antoine Couturier; Sylvain Dorel
Journal:  Eur J Appl Physiol       Date:  2008-07-16       Impact factor: 3.078

6.  Determination of an Optimal Threshold Value for Muscle Activity Detection in EMG Analysis.

Authors:  Kerem Tuncay Ozgünen; Umut Celik; Sanlı Sadi Kurdak
Journal:  J Sports Sci Med       Date:  2010-12-01       Impact factor: 2.988

Review 7.  The measurement of maximal (anaerobic) power output on a cycle ergometer: a critical review.

Authors:  Tarak Driss; Henry Vandewalle
Journal:  Biomed Res Int       Date:  2013-08-29       Impact factor: 3.411

8.  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

9.  Effect of power output on muscle coordination during rowing.

Authors:  Nicolas A Turpin; Arnaud Guével; Sylvain Durand; François Hug
Journal:  Eur J Appl Physiol       Date:  2011-03-31       Impact factor: 3.078

10.  Intermuscular coherence contributions in synergistic muscles during pedaling.

Authors:  Cristiano De Marchis; Giacomo Severini; Anna Margherita Castronovo; Maurizio Schmid; Silvia Conforto
Journal:  Exp Brain Res       Date:  2015-03-28       Impact factor: 1.972

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