Image Processing for the Identification of Persistent Stress from Retina

Abstract

Chronic stress is a prolonged pressure that an individual faces over a long period. Chronic stress accounts for 80% of all health problems in the United States, and many other countries like the UK, Germany, India, etc. This can be challenging because it disturbs the immune system, eye vision, digestive system, sleep, and reproductive system. From the retinal images, few parameters are calculated for each disease. To detect glaucoma cup to disk ratio is calculated whereas for CSR area around the macula region is measured and to know whether a person is suffering from hypertension an AV ratio is calculated. The objective of this research is to identify whether a patient is under persistent depression. The retinal images of the patient are the inputs. They are then checked for three main diseases - glaucoma, central serous retinopathy, hypertension that are related to chronic stress. All the parameters are compared with a normal eye. If a person suffers from two or more of these diseases, he or she is evident to suffer from persistent stress. This entire experiment is simulated on MATLAB R2020a software. All the images are from Kaggle dataset and processed using image processing toolbox in MATLAB. The results are validated by ophthalmologist manually.