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
Ismail Uysal, Ph.D.
Keywords
Wavelet, Glaucoma, Photopic, ERG, Retina, i-wave, PhNR
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.
Scholar Commons Citation
Alaql, Abdulrahman Mohammad, "Analysis and Processing of Human Electroretinogram" (2016). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/6059
Included in
Biomedical Engineering and Bioengineering Commons, Electrical and Computer Engineering Commons
