Literature DB >> 8429058

A theoretical basis for interpreting the force applied to the pedal in cycling.

S A Kautz1, M L Hull.   

Abstract

This article presents an analytical technique for decomposing the pedal force in cycling into a muscular component due directly to the net intersegmental moments and a nonmuscular component due to gravitational and inertial effects. The decomposition technique uses the Newton-Euler system of dynamic equations for the leg segments to solve for the two components, given the planar segmental kinematics and the intersegmental moments. Applications of the technique to cycling studies of muscle function, pedalling effectiveness, and optimization analyses based on inverse dynamics are discussed. While this article focuses on the pedal force in cycling, the decomposition method can be directly applied to analyze the reaction forces during a general planar movement of the leg when the segmental kinematics and intersegmental moments are specified. This article also demonstrates the significance of the nonmuscular component relative to the muscular component by performing the decomposition of the pedal forces of an example subject who pedalled at three different cadences against a common work load. The key results were that the nonmuscular components increased in magnitude as the cadence increased, whereas the magnitude of the muscular component remained relatively constant over the majority of the crank cycle. Also, even at the slowest pedalling rate of 70 rpm, the magnitude of the nonmuscular component was substantial.

Mesh:

Year:  1993        PMID: 8429058     DOI: 10.1016/0021-9290(93)90046-h

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  15 in total

1.  Effect of "Pose" cycling on efficiency and pedaling mechanics.

Authors:  Thomas Korff; Graham Fletcher; David Brown; Lee M Romer
Journal:  Eur J Appl Physiol       Date:  2010-12-03       Impact factor: 3.078

2.  The effects of 6-week-decoupled bi-pedal cycling on submaximal and high intensity performance in competitive cyclists and triathletes.

Authors:  Billy Sperlich; Stefan Zelle; Heinz Kleinöder; Matthias Lochmann; Christoph Zinner; Hans-Christer Holmberg; Joachim Mester
Journal:  Eur J Appl Physiol       Date:  2010-12-31       Impact factor: 3.078

3.  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

4.  Effect of pedaling technique on muscle activity and cycling efficiency.

Authors:  Daniel T Cannon; Fred W Kolkhorst; Daniel J Cipriani
Journal:  Eur J Appl Physiol       Date:  2007-01-17       Impact factor: 3.078

Review 5.  Efficiency in cycling: a review.

Authors:  Gertjan Ettema; Håvard Wuttudal Lorås
Journal:  Eur J Appl Physiol       Date:  2009-02-20       Impact factor: 3.078

6.  The rotor pedaling system improves anaerobic but not aerobic cycling performance in professional cyclists.

Authors:  Jose A Rodríguez-Marroyo; Juan García-López; Karim Chamari; Alfredo Córdova; Olivier Hue; Jose G Villa
Journal:  Eur J Appl Physiol       Date:  2009-01-31       Impact factor: 3.078

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.  Effect of isokinetic cycling versus weight training on maximal power output and endurance performance in cycling.

Authors:  Erwin Koninckx; Marc Van Leemputte; Peter Hespel
Journal:  Eur J Appl Physiol       Date:  2010-03-07       Impact factor: 3.078

9.  Common muscle synergies for control of center of mass and force in nonstepping and stepping postural behaviors.

Authors:  Stacie A Chvatal; Gelsy Torres-Oviedo; Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2011-06-08       Impact factor: 2.714

10.  Foot force direction in an isometric pushing task: prediction by kinematic and musculoskeletal models.

Authors:  M W Schmidt; C López-Ortiz; P S Barrett; L M Rogers; K G Gruben
Journal:  Exp Brain Res       Date:  2003-04-08       Impact factor: 1.972

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