Analysis and Processing of Human Electroretinogram
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. Differen...
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ndltd-USF-oai-scholarcommons.usf.edu-etd-72552018-01-10T05:09:26Z Analysis and Processing of Human Electroretinogram Alaql, Abdulrahman Mohammad 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. 2016-03-16T07:00:00Z text application/pdf http://scholarcommons.usf.edu/etd/6059 http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=7255&context=etd default Graduate Theses and Dissertations Scholar Commons Wavelet Glaucoma Photopic ERG Retina i-wave PhNR Biomedical Engineering and Bioengineering Electrical and Computer Engineering |
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Wavelet Glaucoma Photopic ERG Retina i-wave PhNR Biomedical Engineering and Bioengineering Electrical and Computer Engineering |
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Wavelet Glaucoma Photopic ERG Retina i-wave PhNR Biomedical Engineering and Bioengineering Electrical and Computer Engineering Alaql, Abdulrahman Mohammad Analysis and Processing of Human Electroretinogram |
description |
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. |
author |
Alaql, Abdulrahman Mohammad |
author_facet |
Alaql, Abdulrahman Mohammad |
author_sort |
Alaql, Abdulrahman Mohammad |
title |
Analysis and Processing of Human Electroretinogram |
title_short |
Analysis and Processing of Human Electroretinogram |
title_full |
Analysis and Processing of Human Electroretinogram |
title_fullStr |
Analysis and Processing of Human Electroretinogram |
title_full_unstemmed |
Analysis and Processing of Human Electroretinogram |
title_sort |
analysis and processing of human electroretinogram |
publisher |
Scholar Commons |
publishDate |
2016 |
url |
http://scholarcommons.usf.edu/etd/6059 http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=7255&context=etd |
work_keys_str_mv |
AT alaqlabdulrahmanmohammad analysisandprocessingofhumanelectroretinogram |
_version_ |
1718604061100474368 |