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Journal of Biomedicine and Biotechnology
Volume 2005 (2005), Issue 1, Pages 20-27
http://dx.doi.org/10.1155/JBB.2005.20
Research article

Diabetic Retinopathy Analysis

1Centre for Medical Electronics, College of Engineering, Guindy, Anna University, Chennai 600 025, India
2Sri Ramachandra Medical College & Research Institute, Porur, Chennai 600 116, India

Received 2 October 2003; Revised 13 June 2004; Accepted 22 August 2004

Copyright © 2005 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Diabetic retinopathy is one of the common complications of diabetes. Unfortunately, in many cases the patient is not aware of any symptoms until it is too late for effective treatment. Through analysis of evoked potential response of the retina, the optical nerve, and the optical brain center, a way will be paved for early diagnosis of diabetic retinopathy and prognosis during the treatment process. In this paper, we present an artificial-neural-network-based method to classify diabetic retinopathy subjects according to changes in visual evoked potential spectral components and an anatomically realistic computer model of the human eye under normal and retinopathy conditions in a virtual environment using 3D Max Studio and Windows Movie Maker.