OculusGraphy: Comparison Between Human and Rabbit Electroretinogram Based on Time-Domain and Time-Frequency Domain Analysis

Aleksei Zhdanov; Paul Constable; Sultan Mohammad Manjur; Anton Dolganov; Hugo F. Posada-Quintero; Aleksander Lizunov

doi:10.20944/preprints202304.0321.v1

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preprints.org > computer science and mathematics > signal processing > doi: 10.20944/preprints202304.0321.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

OculusGraphy: Comparison Between Human and Rabbit Electroretinogram Based on Time-Domain and Time-Frequency Domain Analysis

Aleksei Zhdanov

^* ,

Paul Constable

Sultan Mohammad Manjur

Anton Dolganov

Hugo F. Posada-Quintero

Aleksander Lizunov

Version 1 : Received: 12 April 2023 / Approved: 13 April 2023 / Online: 13 April 2023 (11:01:55 CEST)
Version 2 : Received: 12 May 2023 / Approved: 19 May 2023 / Online: 19 May 2023 (07:16:55 CEST)

A peer-reviewed article of this Preprint also exists.

Zhdanov, A.; Constable, P.; Manjur, S.M.; Dolganov, A.; Posada-Quintero, H.F.; Lizunov, A. OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms. Bioengineering 2023, 10, 708. Zhdanov, A.; Constable, P.; Manjur, S.M.; Dolganov, A.; Posada-Quintero, H.F.; Lizunov, A. OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms. Bioengineering 2023, 10, 708.

Abstract

Background: The electroretinogram is a clinical test used to assess the function of the photoreceptors and retinal circuits of various cells in the eye, with the recorded waveform being the result of the summated response of neural generators across the retina. Methods: The present investigation involved an analysis of the electroretinogram waveform in both the time and time-frequency domain through the utilization of the discrete wavelet transform and continuous wavelet transform techniques. The primary aim of this study was to monitor and evaluate the effects of treatment in a New Zealand rabbit model of endophthalmitis via electroretinogram waveform analysis. Results: The wavelet scalograms were analyzed using various mother wavelets, including the Daubechies, Ricker, Wavelet Biorthogonal 3.1 (bior3.1), Morlet, Haar, and Gaussian wavelets. Distinctive variances were identified in the wavelet scalograms. Conclusions: The study compared Adult, Child, and Rabbit electroretinogram responses using DWT and CWT, finding that Adult signals had higher power than Child signals, and Rabbit signals showed differences in a-wave and b-wave depending on the type of response tested, while Haar Wavelet was found to be superior in visualizing frequency components in electrophysiological signals.

Keywords

biomedical research; electroretinography; electroretinogram; ERG; electrophysiology

Subject

Computer Science and Mathematics, Signal Processing

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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