OculusGraphy: Description and Time Domain Analysis of Full-Field Electroretinograms Database

Electroretinography is an established electrophysiological technique for clinical investigation of visual health function. The test involves the non-invasive assessment of the retinal function using light stimulation. This study presents a comprehensive database of five types of signals, including S...

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Bibliographic Details
Published in:	2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) pp. 64 - 67
Main Authors:	Albasu, Faisal B., Dey, Subhankar, Dolganov, Anton Yu, Hamzaoui, Oussama EL, Mustafa, Wisam M., Zhdanov, Aleksei E.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 15-05-2023
Subjects:	Correlation Electric potential Electroretinography ERG analysis full-field ERG Oculusgraphy Pathology Pediatrics time-domain analysis Time-frequency analysis Visualization
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Summary:	Electroretinography is an established electrophysiological technique for clinical investigation of visual health function. The test involves the non-invasive assessment of the retinal function using light stimulation. This study presents a comprehensive database of five types of signals, including Scotopic 2.0 ERG response, Photopic 2.0 ERG response, Maximum 2.0 ERG response, Photopic 2.0 EGR Flicker response and Scotopic 2.0 ERG Oscillatory Potentials. The database includes 1975 signals from 323 patients, consisting of both adults and children. This study seeks to evaluate and analyze the classical parameters of three of the five signals, specifically Scotopic 2.0 ERG response, Photopic 2.0 ERG response, and Maximum 2.0 ERG response, using time-domain analysis. Correlation analysis was conducted in order to gain insights into the potential relationship between a patient's age and the classical parameters. However, the results suggest little to no correlation between these factors. The database presented in this study will serve as a useful resource for further research in the field of electrophysiology. Future research in this area could explore the use of other advanced analysis methods, such as frequency and time-frequency domain analyses, in order to gain further insights into the nuances of these signals and to better differentiate between healthy patients and those with pathologies. Additionally, further research is needed to establish norms for pediatric signals in order to better understand retinal health in children.
ISSN:	2769-3635
DOI:	10.1109/USBEREIT58508.2023.10158887