TY - CHAP
T1 - OculusGraphy: Norms for Electroretinogram Signals
AU - Zhdanov, Aleksei
AU - Borisov, Vasilii
AU - Dolganov, Anton
AU - Lucian, Evdochim
AU - Bao, Xinqi
AU - Kazaijkin, Victor
N1 - Funding Information:
The reported study was funded by RFBR according to the research project No.20-37-90037.
Publisher Copyright:
© 2021 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/6/30
Y1 - 2021/6/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85113572987&partnerID=8YFLogxK
U2 - 10.1109/EDM52169.2021.9507597
DO - 10.1109/EDM52169.2021.9507597
M3 - Conference paper
SN - 978-1-6654-3056-2
T3 - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
SP - 399
EP - 402
BT - 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings
PB - IEEE
ER -
