Neural networks based approach to estimate body fat (%BF)

• Tipo: Artigo em Livro de Atas de Conferência Nacional
• Data: 2010

Autores

Manuel R. Barbosa (Autor) FEUP; Teresa Amaral (Autor) FCNAUP; Maria de Fátima Chousal (Autor) FEUP; Maria Teresa Restivo (Autor) FEUP

Ata de Conferência Nacional

Título: CONTROLO2010

Páginas: 1-5

CONTROLO' 2010: 9th Portuguese Conference on Automatic Control

Coimbra, 8 a 10 Setembro de 2010

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas ; Ciências da Saúde

Outras Informações

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5