Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/108644
Title: Parametric modeling of human gradient walking for predicting minimum energy expenditure
Author: Saborit, Gerard
Casinos, A.
Keywords: Exercici
Metabolisme energètic
Mètodes estadístics
Exercise
Energy metabolism
Statistical methods
Issue Date: Nov-2015
Publisher: Hindawi
Abstract: 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%.
Note: Reproducció del document publicat a: https://doi.org/10.1155/2015/407156
It is part of: Computational and Mathematical Methods in Medicine, 2015, vol. 2015, p. 1-6
Related resource: https://doi.org/10.1155/2015/407156
URI: http://hdl.handle.net/2445/108644
ISSN: 1748-670X
Appears in Collections:Articles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)

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