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Paper Playground turns cutting-edge sports science research into interactive mini-apps. Explore new ideas, see them in action, and test how they apply to you by connecting your SweatStack account.
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#cycling
#heartrate modelling de Leeuw, A. W., Voet, J. G., van Erp, T., Lamberts, R. P., de Koning, J. J., & Knobbe, A. (2025). Coupling heart rate and power data in professional road cycling: Shorter heart rate response indicate better 10-min time trial power output. Journal of Sports Sciences, 43(10), 978-985.
The aim of our study is to investigate whether coupling power output (PO) and heart rate (HR) data of semi-professional road cyclists collected in the field is helpful for optimising the training process.
Puchowicz, M. J., & Skiba, P. F. (2025). Functional Data Analysis of the Power–Duration Relationship in Cyclists. International Journal of Sports Physiology and Performance, 1(aop), 1-10.
To extract, prioritize, and model the highly conserved variations in mean-maximal power (MMP) data in cyclists utilizing functional principal component (FPC) analysis.
Mulligan, M., Adam, G., & Emig, T. (2018). A minimal power model for human running performance. PloS one, 13(11), e0206645.
Models for human running performances of various complexities and underlying principles have been proposed, often combining data from world record performances and bio-energetic facts of human physiology. The purpose of this work is to develop a novel, minimal and universal model for human running performance that employs a relative metabolic power scale.
Mader, A., & Heck, H. (1986). A theory of the metabolic origin of “anaerobic threshold”. International journal of sports medicine, 7(S 1), S45-S65.
Despite the fact that an increase of lactate at a certain submaximal level of power was known long before the idea of “anaerobic threshold” (AT) was introduced by Wasserman et al. as the point at which a change from exclusively aerobic to partially anaerobic energy supply by formation and accumulation of lactate occurs in graded exercise tests, the mechanism of this change in a metabolic pattern is not well understood and therefore the subject of various speculation.
Zignoli, A. A reasonable alternative to the Wbal models when maximal mean power profiling is used instead of critical power-based models.
As an alternative to the Wbal models, a methodology based on maximum mean power profiling (MMP) is presented here to predict intermittent exercise performance potential.
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