Reed, RJ, Scarf, PA ORCID: https://orcid.org/0000-0001-5623-906X, Jobson, SA and Passfield, L
2016,
'Determining optimal cadence for an individual road cyclist from field data'
, European Journal of Sport Science, 16 (8)
, pp. 903-911.
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Abstract
The cadence that maximises power output developed at the crank by an individual cyclist is conventionally determined using a laboratory test. The purpose of this study was two-fold: (i) to show that such a cadence, which we call the optimal cadence, can be determined using power output, heart-rate, and cadence measured in the field and (ii) to describe methodology to do so. For an individual cyclist’s sessions, power output is related to cadence and the elicited heart-rate using a non-linear regression model. Optimal cadences are found for two riders (83 and 70 revolutions per minute, respectively); these cadences are similar to the riders’ preferred cadences (82–92 rpm and 65–75 rpm). Power output reduces by approximately 6% for cadences 20 rpm above or below optimum. Our methodology can be used by a rider to determine an optimal cadence without laboratory testing intervention: the rider will need to collect power output, heart-rate, and cadence measurements from training and racing sessions over an extended period (>6 months); ride at a range of cadences within those sessions; and calculate his/ her optimal cadence using the methodology described or a software tool that implements it.
Item Type: | Article |
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Schools: | Schools > Salford Business School > Salford Business School Research Centre |
Journal or Publication Title: | European Journal of Sport Science |
Publisher: | Taylor & Francis |
ISSN: | 1746-1391 |
Related URLs: | |
Funders: | Engineering and Physical Sciences Research Council (EPSRC) |
Depositing User: | USIR Admin |
Date Deposited: | 29 Feb 2016 11:08 |
Last Modified: | 14 Oct 2019 11:02 |
URI: | http://usir.salford.ac.uk/id/eprint/38026 |
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