OculusGraphy: Norms for Electroretinogram Signals

Aleksei Zhdanov*, Vasilii Borisov, Anton Dolganov, Evdochim Lucian, Xinqi Bao, Victor Kazaijkin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

5 Citations (Scopus)


Electroretinogram (ERG) is the non-invasive ocular test to assess the retinal function by measuring the photic irrational induced electrical responses of the cells in the retina, including the photoreceptors in the outer retina, inner retinal layers, and the final output neurons. Clinically used ERG is an important diagnostic assessment for various retinal diseases, such as hereditary diseases, diabetic retinopathies, glaucoma, macular degeneration, toxic retinopathies, etc. The presented ERG examination includes a series of electrophysiological tests of various types of electroretinography. The tests were performed at the IRTC Eye Microsurgery Ekaterinburg Center. In this study, the EP-1000 Multifocal computerized electrophysiology workstation manufactured by Tomey GmbH was used. This station is located in a separate isolated room and complies with ISCEV standards. Manual analysis of medical ophthalmic signals is a time-consuming process that involves operator training and skill. Analysis of ophthalmic signal data could advance much faster and be more cost-effective while reducing time and material costs through automation and optimization using signal processing and analysis methods available in the modern mathematical theory of signal processing. This paper described a Maximum 2.0 ERG Response time-frequency analysis.
Original languageEnglish
Title of host publication2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings
Number of pages4
ISBN (Electronic)978-1-6654-1498-2
ISBN (Print)978-1-6654-3056-2
Publication statusPublished - 30 Jun 2021

Publication series

NameInternational Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
ISSN (Print)2325-4173
ISSN (Electronic)2325-419X


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