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Stroke Prediction from Hypertensive Retinopathy

A/P Ravindran, Nandini (2016) Stroke Prediction from Hypertensive Retinopathy. IRC, Universiti Teknologi PETRONAS. (Submitted)

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Abstract

Hypertensive Retinopathy (HR) is known as the damage to the eye which occurs due to high blood pressure. This HR may lead to permanent vision lost hence timely diagnosis and treatment of this disease is very important. Fundus image analysis is used to diagnose HR and stroke prediction. There are four steps in the proposed systems which are the Image Enhancement, Fourier Fractal Dimension, Logistic Regression Classifier and Stroke Prediction Model. The proposed system consists of method used to analyse retina blood vessels using Fourier Fractal Dimension to extract the complexity of the retina blood vessels enhanced in different scales. Logistic regression was used to model the classifier for stroke prediction. The probability from 0 to 0.5 was classified as control case and the probability from 0.5 to 1 was classified as stroke case. From 20 images used in this project only 14 images was classified as the stroke case. The estimated percentage increase in the odds of incident of stroke is calculated and categorised according to the Hypertensive Retinopathy stages.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 19 Jan 2017 15:38
Last Modified: 25 Jan 2017 09:34
URI: http://utpedia.utp.edu.my/id/eprint/17113

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