Literature DB >> 11079524

Which factors determine the optimal pedaling rate in sprint cycling?

A J van Soest1, L J Casius.   

Abstract

INTRODUCTION: Mechanical power output in sprint cycling depends on pedaling rate, with an optimum at around 130 revolutions per minute (rpm). In this study, the question is addressed if this optimal pedaling rate can be understood from a Hill-type description of muscular dynamics. In particular, it is investigated how 1) the power-velocity relationship that follows from Hill's force-velocity relationship and 2) activation dynamics (from the perspective of which the optimal pedaling rate is near-zero) affect the optimal pedaling rate.
METHODS: A forward dynamics modeling/simulation approach is adopted in this study. The skeletal model is a 2D linkage of rigid segments; it is actuated by eight Hill-type "muscles." Input of the model is the neural stimulation of the muscles, output is the resulting movement and variables dependent thereupon, such as pedal forces. For a wide range of isokinetic pedaling rates, the neural stimulation is optimized with respect to the average mechanical power output.
RESULTS: Correspondence between experimental data and simulation results regarding 1) the (pedaling-rate dependent) muscle phasing, 2) pedal forces, and 3) the power-pedaling rate relationship is good. At the optimal pedaling rate predicted by the model (120 rpm), muscles contract at velocities well below those that maximize their power output. Finally, when a model is considered that lacks activation dynamics, it is found that both the optimal pedaling rate and the maximal power output increase substantially. DISCUSSION: From the results pertaining to the standard model, it is concluded that the optimal pedaling rate is not uniquely specified by the power-velocity relationship of muscle, as suggested in literature. From the results pertaining to the model lacking activation dynamics, it follows that activation dynamics plays a surprisingly large role in determining the optimal pedaling rate. It is concluded that the pedaling rate that maximizes mechanical power output in sprint cycling follows from the interaction between activation dynamics and Hill's power-velocity relationship.

Mesh:

Year:  2000        PMID: 11079524     DOI: 10.1097/00005768-200011000-00017

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  10 in total

1.  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

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

Review 3.  The science of cycling: factors affecting performance - part 2.

Authors:  Erik W Faria; Daryl L Parker; Irvin E Faria
Journal:  Sports Med       Date:  2005       Impact factor: 11.136

Review 4.  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

5.  Robust passive dynamics of the musculoskeletal system compensate for unexpected surface changes during human hopping.

Authors:  Marjolein M van der Krogt; Wendy W de Graaf; Claire T Farley; Chet T Moritz; L J Richard Casius; Maarten F Bobbert
Journal:  J Appl Physiol (1985)       Date:  2009-07-09

6.  Two-Load Method for Distinguishing Between Muscle Force, Velocity, and Power-Producing Capacities.

Authors:  Slobodan Jaric
Journal:  Sports Med       Date:  2016-11       Impact factor: 11.136

7.  The Test-Retest Reliability of New Generation Power Indices of Wingate All-Out Test.

Authors:  Ozgur Ozkaya; Gorkem Aybars Balci; Hakan As; Emre Vardarli
Journal:  Sports (Basel)       Date:  2018-04-07

8.  A direct collocation framework for optimal control simulation of pedaling using OpenSim.

Authors:  Sangsoo Park; Graham E Caldwell; Brian R Umberger
Journal:  PLoS One       Date:  2022-02-22       Impact factor: 3.240

Review 9.  Maximal muscular power: lessons from sprint cycling.

Authors:  Jamie Douglas; Angus Ross; James C Martin
Journal:  Sports Med Open       Date:  2021-07-15

10.  Effects of isometric scaling on vertical jumping performance.

Authors:  Maarten F Bobbert
Journal:  PLoS One       Date:  2013-08-01       Impact factor: 3.240

  10 in total

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