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https://hdl.handle.net/10216/79708| Author(s): | Manuel R. Barbosa Teresa Amaral Maria de Fátima Chousal Maria Teresa Restivo |
| Title: | Neural networks based approach to estimate body fat (%BF) |
| Issue Date: | 2010 |
| Abstract: | Abstract: The amount of fat in human body composition relative to total body weight (%BF) is considered a determinant factor to a healthier and longer life. In this paper a neural network approach, that overcomes some of the current limitations of assessing %BF through skinfold thickness measurement with calliper devices, is presented. Neural networks recognised capabilities in modelling nonlinear problems can provide a valuable tool to deal with the inherent nonlinear behaviour of body tissues. The approach was tested on a sample of elder individuals, men and women, showing better performance when compared with two available alternative methodologies. |
| Subject: | Ciências Tecnológicas, Ciências da Saúde, Engenharia electrotécnica, electrónica e informática Technological sciences, Health sciences, Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| URI: | https://hdl.handle.net/10216/79708 |
| Source: | CONTROLO2010 |
| Document Type: | Artigo em Livro de Atas de Conferência Nacional |
| Rights: | openAccess |
| License: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Appears in Collections: | FCNAUP - Artigo em Livro de Atas de Conferência Nacional FEUP - Artigo em Livro de Atas de Conferência Nacional |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| 103261.pdf | 57.79 kB | Adobe PDF |  View/Open |
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