V Congreso Latinoamericano de Ingeniería Biomédica (CLAIB2011)

Use of artificial neural networks to aid in diabetes determination through pupillometry
Vitor Atsushi Nozaki Yano, Alessandro . Zimmer, Giselle Lopes Ferrari

Fecha: 2011-05-19 09:45  – 10:00
Última modificación: 2011-04-15 05:59

Resumen


Diabetic patients may have dysfunctions in the sympathetic and parasympathetic nervous system. As a result, the pupillary reflex is altered, showing characteristics that distinguish them from healthy people, such as pupil radius and contraction time. These features can be measured by the noninvasive way of dynamic pupillometry, and an analysis of the data can be used to check the existence of a neuropathy. In this paper, it is proposed the use of artificial neural networks for helping the assessment of diabetes occurrence through dynamic characteristics of the pupil.