Literature DB >> 9372489

Inertial-load method determines maximal cycling power in a single exercise bout.

J C Martin1, B M Wagner, E F Coyle.   

Abstract

A cycle ergometer was modified to measure power (P) with resistance provided solely by the moment of inertia (I) of the flywheel. P was calculated as the product of I, angular velocity (omega), and angular acceleration (alpha). Flywheel omega and alpha were determined by means of an optical sensor and a micro-controller based computer interface which measured time (+/- 1 microsecond) and allowed P to be calculated instantaneously (PI) every 3 degrees of pedal crank rotation or averaged over one complete revolution of the pedal cranks (PREV). Values for maximum P were identified from each bout (PI max and PREV max). Mechanical calibration of torque via a resistive strap proved this method to be both valid and accurate. Thirteen active male subjects performed four bouts of maximal acceleration lasting approximately 3-4 s with 2 min resting recovery. The mean coefficient of variation for PREV max was 3.3 +/- 0.6% and the intraclass correlation was 0.99. PREV max averaged 1317 +/- 66 W at 122 +/- 2 rpm, and PI max averaged 2137 +/- 101 W at 131 +/- 2 rpm. PREV max and PI max were highly correlated (r = 0.86 and r = 0.80 respectively, P < 0.002) with estimated lean thigh volume. Therefore, the inertial-load method provides a valid and reliable determination of cycling power in one short exercise bout.

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Mesh:

Year:  1997        PMID: 9372489     DOI: 10.1097/00005768-199711000-00018

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


  22 in total

1.  Power output of the lower limb during variable inertial loading: a comparison between methods using single and repeated contractions.

Authors:  S J Pearson; M Cobbold; S D R Harridge
Journal:  Eur J Appl Physiol       Date:  2004-03-26       Impact factor: 3.078

2.  Influence of road incline and body position on power-cadence relationship in endurance cycling.

Authors:  Umberto Emanuele; Jachen Denoth
Journal:  Eur J Appl Physiol       Date:  2011-11-02       Impact factor: 3.078

3.  Alterations in neuromuscular function and perceptual responses following acute eccentric cycling exercise.

Authors:  Steven J Elmer; John McDaniel; James C Martin
Journal:  Eur J Appl Physiol       Date:  2010-08-25       Impact factor: 3.078

4.  Sprint running performance: comparison between treadmill and field conditions.

Authors:  Jean-Benoît Morin; Pierrick Sève
Journal:  Eur J Appl Physiol       Date:  2011-01-06       Impact factor: 3.078

5.  Maximal torque- and power-pedaling rate relationships for elite sprint cyclists in laboratory and field tests.

Authors:  A Scott Gardner; James C Martin; David T Martin; Martin Barras; David G Jenkins
Journal:  Eur J Appl Physiol       Date:  2007-06-12       Impact factor: 3.078

6.  Influence of crank length and crank width on maximal hand cycling power and cadence.

Authors:  Christian Krämer; Lutz Hilker; Harald Böhm
Journal:  Eur J Appl Physiol       Date:  2009-05-12       Impact factor: 3.078

7.  Aerobic power and peak power of elite America's Cup sailors.

Authors:  Vernon Neville; Matthew T G Pain; Jonathan P Folland
Journal:  Eur J Appl Physiol       Date:  2009-02-21       Impact factor: 3.078

Review 8.  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

9.  Power-cadence relationship in endurance cycling.

Authors:  Umberto Emanuele; Jachen Denoth
Journal:  Eur J Appl Physiol       Date:  2011-05-15       Impact factor: 3.078

Review 10.  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

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