OculusGraphy: Description of Electroretinograms Database

Aleksei Zhdanov, Vasilii Borisov, Evdochim Lucian, Victor Kazaijkin, Xinqi Bao, Vyacheslav Ponomarev, Anton Dolganov, Alexander Lizunov

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

2 Citations (Scopus)


Electroretinography (ERG) has great potential in visual health detection in early diagnosis and intervention. To date, optical coherence tomography and other diagnostic tests are mainly used. Clinically used ERG is an important diagnostic assessment for various retinal diseases, such as hereditary diseases (retinitis pigmentosa, choroideremia, cone dystrophy, etc.), diabetic retinopathies, glaucoma, macular degeneration, toxic retinopathies etc. A database of five types of adult and pediatric biomedical electroretinography signals is presented in this study. In this study, the database is focused on the Maximum 2.0 ERG Response (80 pediatric signals, 42 adult signals) protocol. 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. The aim of this study is to describe the existing database including the classification of signals and to determine the pediatric norms of the binocular program.
Original languageEnglish
Title of host publication2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN)
Number of pages4
ISBN (Electronic)978-1-6654-2474-5
ISBN (Print)978-1-6654-2475-2
Publication statusPublished - 13 Sept 2021


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