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 González, 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 |
URI: | http://hdl.handle.net/2445/108644 |
Related resource: | https://doi.org/10.1155/2015/407156 |
ISSN: | 1748-670X |
Appears in Collections: | Articles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals) |
Files in This Item:
File | Description | Size | Format | |
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650306.pdf | 1.35 MB | Adobe PDF | View/Open |
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