Document Type

Thesis

Date of Award

5-31-2021

Degree Name

Master of Science in Biomedical Engineering - (M.S.)

Department

Biomedical Engineering

First Advisor

Chang Yaramothu

Second Advisor

Tara L. Alvarez

Third Advisor

Xiaobo Li

Fourth Advisor

John Vito d’Antonio-Bertagnolli

Abstract

Eye movement analysis is a slow and tasking job that require a trained vision analyst to sift through hundreds of eye movements. The difficulty of the task increases when a subject has undiagnosed eye related disorders. One such disorder is Convergence insufficiency (CI) which affects nearly 12 million people in the US. Convergence insufficiency occurs when the eyes are unable to coordinate simultaneous inward movement for near focal tracking. Individuals with CI are unable to coordinate eye movements this can result in many symptoms such as double vision, blurred vision, headaches, vision strain, and fatigue. A diagnosis for CI relies on the experience of the optometrist and their ability to detect a deviation in a patient's eyes as they track a near focal object, it also requires the patient to respond back to the optometrist which can be subjective. In conjunction with a robust eye tracking camera system, the software described herein, Real Time Analysis of Eye Movements using Computer Aided Software (R.E.T.I.N.A.S.), allows for large scale screening by processing eye movement data quickly and accurately as compared to the current standard that requires a human vision analyst. R.E.T.I.N.A.S. can remove the subjectivity that is currently a component in CI screening. This allows for inexperienced users who are not trained in optometry to screen for CI by reviewing the outputted metrics that R.E.T.I.N.A.S. provides. This type of accessibility allows for patients affected by CI to get necessary therapy quickly, which can greatly improve the patient’s quality of life.

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