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. 2005;2005(1):20-27.
doi: 10.1155/JBB.2005.20.

Diabetic Retinopathy Analysis

R Sivakumar, G Ravindran, M Muthayya, S Lakshminarayanan, C U Velmurughendran

Diabetic Retinopathy Analysis

R Sivakumar et al. J Biomed Biotechnol. 2005.

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.

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Figures

Figure 1
Figure 1
Normal subject VEP waveform.
Figure 2
Figure 2
Feedforward neural network.
Figure 3
Figure 3
Normal subject VEP spectrum.
Figure 4
Figure 4
25 normal patients' first spectral component 2D histogram.
Figure 5
Figure 5
25 normal patients' second spectral component 2D histogram.
Figure 6
Figure 6
BDR subject VEP spectrum.
Figure 7
Figure 7
30 BDR patients' first spectral component 2D histogram.
Figure 8
Figure 8
30 BDR patients' second spectral component 2D histogram.
Figure 9
Figure 9
PPDR subject VEP spectrum.
Figure 10
Figure 10
20 PPDR patients' first spectral component 2D histogram.
Figure 11
Figure 11
20 PPDR patients' second spectral component 2D histogram.
Figure 12
Figure 12
PDR subject VEP spectrum.
Figure 13
Figure 13
20 PDR patients' first spectral component 2D histogram.
Figure 14
Figure 14
20 PDR patients' second spectral component 2D histogram.
Figure 15
Figure 15
Animated retinal blood vessel picture.
Figure 16
Figure 16
Animated diabetic retinopathy movie.
See this image and copyright information in PMC

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