Graduation Year

2016

Document Type

Thesis

Degree

M.S.E.E.

Degree Name

MS in Electrical Engineering (M.S.E.E.)

Degree Granting Department

Electrical Engineering

Major Professor

Wilfrido Moreno, Ph.D.

Committee Member

Alexandro Castellanos, Ph.D.

Committee Member

Ismael Uysal, Ph.D.

Keywords

ERG, Glaucoma, PhNR, Photopic, Retina, Wavelet

Abstract

Electroretinagram (ERG) is the recording of electrical activity of retinal cells elicited by light stimulation, which has been widely used to help diagnose different types of retinal dysfunctions. The ERG response signal is a short non-stationary signal that contains overlapping components. Different Digital Signal Processing (DSP) techniques are investigated using MATLAB to study the time-frequency responses of the ERG signal such as Short Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT) and Discrete Wavelet Transform (DWT). The Photopic ERG signal was processed and analyzed in this thesis and the results of each technique have been investigated in detail. The Photopic ERG components have been extracted using DWT and ERG Models.

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