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Effects of Obesity on Time-frequency Components of Electroretinogram Signal Using Continuous Wavelet Transform by Okan Erkaymaz; Írem Senyer Yapici; Rukiye Uzun Arslan is a Medicine article available to read on EtoBox.

What is Effects of Obesity on Time-frequency Components of Electroretinogram Signal Using Continuous Wavelet Transform about?

We investigate impacts of the obesity on three different responses (cone, rod and maximal combined) of electroretinogram signals. To analyze and extract features of the responses, two major components of electroretinogram signal (namely “a” and “b” waves) have been used. The amplitudes and respective peak times of the waves have been firstly calculated by using statistical methods in time domain. These time domain analysis could be integrated by time-frequency domain analysis to reflect electroretinogram components considerably. To achieve this aim, we have analyzed the “a” and “b” waves by applying short time Fourier transform, continuous wavelet transform and discrete wavelet transform methods on electroretinogram signals. Our findings prove that the continuous wavelet transform gives better results than other methods with respect to time-frequency results extracted from scalogram analyses. In this context, it is also showed that the usage of Mexican hat is the most proper wavelet to analyze obesity effect on electroretinogram. Moreover, we show that the “a” wave does not change considerably by obesity for electroretinogram responses. On the contrary, the “b” wave is significantl

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Author

Okan Erkaymaz; Írem Senyer Yapici; Rukiye Uzun Arslan

Publisher

Elsevier BV

Published

2021

Language

EN

Field

Medicine (Physical Sciences)