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Master's Dissertation
DOI
https://doi.org/10.11606/D.82.2016.tde-17112016-113936
Document
Author
Full name
Michel Alves Lacerda
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2015
Supervisor
Committee
Delbem, Alexandre Cláudio Botazzo (President)
Guido, Rodrigo Capobianco
Kunkel, Maria Elizete
Title in Portuguese
Aprimoramento do método de estimação de gordura corporal em um Scanner 3D antropométrico
Keywords in Portuguese
Antropometria
Composição corporal
Obesidade
Scanner 3D
Abstract in Portuguese
Este trabalho apresenta o estudo realizado no aprimoramento de um método de estimação de gordura corpórea por meio de um Scanner antropométrico ALLBODYSCAN 3D® (São Carlos, SP, 2012) que constrói imagens 3D do corpo humano. Procedimentos computacionais de análise de modelo corporal gerado pelo scanner, têm sido desenvolvidos na USP. Este estudo considerou medições em voluntários de vários grupos de interesse, de forma que a estimação de gordura pudesse ter abrangência satisfatória e com poucos fatores de erro, aprimorando a técnica. A pesquisa envolveu aspectos de gênero, etnia e idade de cada um dos voluntários. Os resultados foram comparados com estimações obtidas por Bioimpedância e por Adipometria e apresentaram alta correlação. O Scanner antropométrico apresentou suas medições com certas vantagens, comparado a outras técnicas, principalmente em relação à simplificação de procedimentos com o paciente para se obter medições confiáveis.
Title in English
Improvement of a body fat mass estimation method through a 3D anthropometric Scanner
Keywords in English
Anthropometry
Body composition
Obesity
Scanner 3D
Abstract in English
The present paper shows the research done in the improvement of a method to estimate the body fat mass using an anthropometric Scanner AllBodyScan3D® (São Carlos, SP, 2012) that builds up 3D images from the human body. Computational procedures for body composition analysis have been developed at USP. The present study has considered measurements in different groups of volunteers, in a way that it can lead to satisfactory coverage, with relatively low error, improving the approach. The research has considered gender, ethnics and age of each volunteer. The results were compared to estimations from Bioimpedance and Adipometry and they presented high correlation. The anthropometric Scanner has shown some advantages in comparison to other techniques, mainly due to its simplified procedures imposed on patients for obtaining reliable measures.
 
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Publishing Date
2016-11-17
 
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