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Modeling optimal cadence as a function of time during maximal sprint exercises can improve performance by elite track cyclists
Fachbereich Ausdauer, Institut für Angewandte Trainingswissenschaft, 04109 Leipzig, Germany.
Monteverde Bicycles, 10625 Berlin, Germany.
Luleå University of Technology, Department of Health, Learning and Technology, Health, Medicine and Rehabilitation.ORCID iD: 0000-0002-3814-6246
2021 (English)In: Applied Sciences, E-ISSN 2076-3417, Vol. 11, no 24, article id 12105Article in journal (Refereed) Published
Abstract [en]

In track cycling sprint events, optimal cadence PRopt is a dynamic aspect of fatigue. It is currently unclear what cadence is optimal for an athlete’s performance in sprint races and how it can be calculated. We examined fatigue-induced changes in optimal cadence during a maximal sprint using a mathematical approach. Nine elite track cyclists completed a 6-s high-frequency pedaling test and a 60-s isokinetic all-out sprint on a bicycle ergometer with continuous monitoring of crank force and cadence. Fatigue-free force-velocity (F/v) and power-velocity (P/v) profiles were derived from both tests. The development of fatigue during the 60-s sprint was assessed by fixing the slope of the fatigue-free F/v profile. Fatigue-induced alterations in PRopt were determined by non-linear regression analysis using a mono-exponential equation at constant slope. The study revealed that PRopt at any instant during a 60-s maximal sprint can be estimated accurately using a mono-exponential equation. In an isokinetic mode, a mean PRopt can be identified that enables the athlete to generate the highest mean power output over the course of the effort. Adding the time domain to the fatigue-free F/v and P/v profiles allows time-dependent cycling power to be modelled independent of cadence. 

Place, publisher, year, edition, pages
MDPI, 2021. Vol. 11, no 24, article id 12105
Keywords [en]
force-velocity profile, fatigue modelling, optimal pedaling rate, maximum power output, track cycling
National Category
Sport and Fitness Sciences
Research subject
Physiotherapy
Identifiers
URN: urn:nbn:se:ltu:diva-88656DOI: 10.3390/app112412105ISI: 000777613900013Scopus ID: 2-s2.0-85121473447OAI: oai:DiVA.org:ltu-88656DiVA, id: diva2:1624665
Note

Validerad;2022;Nivå 2;2022-01-04 (johcin)

Available from: 2022-01-04 Created: 2022-01-04 Last updated: 2025-02-11Bibliographically approved

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Holmberg, Hans-Christer

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