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ALVES, D. M. (2007). Blood glucose rate measured through the analysis of the human iris image, using neural networking. M.Sc. Dissertation – Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos, 2007. This work contributes to the project of a non-invasive system which is able to quantify the glucose level in the blood through the human iris images; the project was named GlucoÍris. It was developed by the mechanical engineering department (LabMetro) of the Federal University of Santa Catarina (UFSC) where it was placed and analyzed an optical/mechanical system. Also, it was created a computer program to find out quantitative parameters associated with the color and the structure of the human iris. Together with the prime version of a computer program it was developed an earliest prototype of the apparatus which was able to obtain digital colored images of the iris. The alterations found out in the iris of the twenty-four volunteers where evaluated. Actually, due to the variations of the glucose level in the blood, previous studies showed that the color of the image of an iris experiences changes, indicating that it is possible to measure the sugar rate in the blood through the human iris. Applying the results of previous stages of the project, the purpose of this study was to develop a system, using neural networking, to estimate the blood glucose rate through the analysis of the images of the human iris. Employing the color data found in the images and the known blood glucose amount on the studied cases, it was evaluated the networking ability to estimate new sugar rates in the mentioned volunteers’s blood. Key-words: Blood glucose rate, GlucoÍris, Neural Networking

Quantificação da glicemia através de análises de imagens da íris humana utilizando redes neurais