Passfield, Louis (2016) Determining optimal cadence for an individual road cyclist from field data. European Journal of Sport Science, 16 (8). pp. 903-911. ISSN 1746-1391. E-ISSN 1536-7290. (doi:10.1080/17461391.2016.1146336) (KAR id:54782)
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Official URL: http://dx.doi.org/10.1080/17461391.2016.1146336 |
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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DOI/Identification number: | 10.1080/17461391.2016.1146336 |
Uncontrolled keywords: | modelling; cycling; field data; |
Subjects: | Q Science |
Divisions: | Divisions > Division of Natural Sciences > Sport and Exercise Sciences |
Depositing User: | Louis Passfield |
Date Deposited: | 04 Apr 2016 11:54 UTC |
Last Modified: | 05 Nov 2024 10:43 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/54782 (The current URI for this page, for reference purposes) |
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