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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/108644
Parametric modeling of human gradient walking for predicting minimum energy expenditure
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A mathematical model to predict the optimum gradient for a minimum energetic cost is proposed, considering previous results that show a minimum energetic cost when gradient is -10%. The model focus on the variation of mechanical energy during gradient walking. It is shown that kinetic energy has a marginal role in low speed gradient walking. Therefore, the model takes in consideration only potential energy. A mathematical parameter that depends on step length is introduced, showing that the optimal gradient is a function of that parameter. Consequently, the optimal negative gradient depends on the individual step length. The model explains why recent results do not suggest a single optimal gradient but rather a range around -10%.
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SABORIT GONZÁLEZ, Gerard and CASINOS, A. Parametric modeling of human gradient walking for predicting minimum energy expenditure. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, num. 1-6. ISSN 1748-670X. [consulted: 22 of May of 2026]. Available at: https://hdl.handle.net/2445/108644