Literature DB >> 10476840

The association between negative muscle work and pedaling rate.

R R Neptune1, W Herzog.   

Abstract

The objective of this research was to use a pedal force decomposition approach to quantify the amount of negative muscular crank torque generated by a group of competitive cyclists across a range of pedaling rates. We hypothesized that negative muscular crank torque increases at high pedaling rates as a result of the activation dynamics associated with muscle force development and the need for movement control, and that there is a correlation between negative muscular crank torque and pedaling rate. To test this hypothesis, data were collected during 60, 75, 90, 105 and 120 revolutions per minute (rpm) pedaling at a power output of 260 W. The statistical analysis supported our hypothesis. A significant pedaling rate effect was detected in the average negative muscular crank torque with all pedaling rates significantly different from each other (p < 0.05). There was no negative muscular crank torque generated at 60 rpm and negligible amounts at 75 and 90 rpm. But substantial negative muscular crank torque was generated at the two highest pedaling rates (105 and 120 rpm) that increased with increasing pedaling rates. This result suggested that there is a correlation between negative muscle work and the pedaling rates preferred by cyclists (near 90 rpm), and that the cyclists' ability to effectively accelerate the crank with the working muscles diminishes at high pedaling rates.

Mesh:

Year:  1999        PMID: 10476840     DOI: 10.1016/s0021-9290(99)00100-1

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


  19 in total

1.  A physiological counterpoint to mechanistic estimates of "internal power" during cycling at different pedal rates.

Authors:  Ernst Albin Hansen; Lars Vincents Jørgensen; Gisela Sjøgaard
Journal:  Eur J Appl Physiol       Date:  2003-11-25       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.  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 4.  Efficiency in cycling: a review.

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

5.  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 6.  Strategies for improving performance in long duration events: Olympic distance triathlon.

Authors:  Christophe Hausswirth; Jeanick Brisswalter
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

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.  Adaptation of pedaling rate of professional cyclist in mountain passes.

Authors:  José Antonio Rodríguez-Marroyo; Juan García-Lopez; José Gerardo Villa; Alfredo Córdova
Journal:  Eur J Appl Physiol       Date:  2008-04-19       Impact factor: 3.078

Review 9.  Methods of Power-Force-Velocity Profiling During Sprint Running: A Narrative Review.

Authors:  Matt R Cross; Matt Brughelli; Pierre Samozino; Jean-Benoit Morin
Journal:  Sports Med       Date:  2017-07       Impact factor: 11.136

10.  Does a two-element muscle model offer advantages when estimating ankle plantar flexor forces during human cycling?

Authors:  Adrian K M Lai; Allison S Arnold; Andrew A Biewener; Taylor J M Dick; James M Wakeling
Journal:  J Biomech       Date:  2017-12-15       Impact factor: 2.712

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