Nutritional assessment of children under five based on anthropometric measurements with image processing techniques

Victor A. Ayma, Victor H. Ayma, Armando Torre, Lizette Ganoza

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Nutritional assessment is an important evaluation to prevent and control malnutrition, which is one of the main causes associated with child mortality. Weight and height are the most frequently measured morphological traits which in combination with child's gender and age, generates anthropometric indices to establish child's nutritional status. Nevertheless, accomplishment of this task in rural areas is difficult because of complications to transport bulky and heavy equipment, which must be properly and adequately calibrated. This work proposed a novel approach to perform nutritional assessments of children under five, through a system focused on the estimation of anthropometric indices, based on the measurements obtained from a set of body part images and its relations with child's gender and age. The results showed that sensitivity and specificity for the anthropometric indicators, ranged from 66% to 100% and 88% to 100%, respectively. Moreover, overall accuracies were over 85% up to 100%. Additionally, the experiments conducted shown our method as a viable solution to perform nutritional evaluations via accurate anthropometric index estimations.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2016 IEEE ANDESCON
Lugar de publicaciónUnited States
EditorialIEEE Xplore
ISBN (versión digital)9781509025312
ISBN (versión impresa)9781509035694
DOI
EstadoPublicada - 27 ene. 2017
Publicado de forma externa
EventoSIBGRAPI Conference on Graphics, Patterns and Images - Sao Paulo, Brasil
Duración: 4 oct. 20167 oct. 2016
Número de conferencia: 29
http://gibis.unifesp.br/sibgrapi16/

Serie de la publicación

NombreBrazilian Symposium on Computer Graphics and Image Processing
ISSN (versión impresa)1530-1834
ISSN (versión digital)2377-5416

Conferencia

ConferenciaSIBGRAPI Conference on Graphics, Patterns and Images
Título abreviadoSIBGRAPI
País/TerritorioBrasil
CiudadSao Paulo
Período4/10/167/10/16
Dirección de internet

Nota bibliográfica

Publisher Copyright:
© 2016 IEEE.

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