OculusGraphy: Pediatric and Adults Electroretinograms Database
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 d...
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| creator | Zhdanov, Aleksei E. Dolganov, Anton Yu Borisov, Vasilii I. Lucian, Evdochim Bao, Xinqi Kazaijkin, Victor N. Ponomarev, Vyacheslav O. Lizunov, Alexander V. Ivliev, Sergey A. |
| description | 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 based on several protocols: Scotopic 2.0 ERG Response (53 pediatric signals, 23 adult signals), Maximum 2.0 ERG Response (80 pediatric signals, 42 adult signals), Photopic 2.0 ERG Response (74 pediatric signals, 32 adult signals), and Photopic 2.0 EGR Flicker Response (63 pediatric signals, 38 adult signals). 20 signals of Scotopic 2.0 ERG Oscillatory Potentials in addition to that. 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. |
| doi_str_mv | 10.21227/a9r0-xs82 |
| format | Dataset |
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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 based on several protocols: Scotopic 2.0 ERG Response (53 pediatric signals, 23 adult signals), Maximum 2.0 ERG Response (80 pediatric signals, 42 adult signals), Photopic 2.0 ERG Response (74 pediatric signals, 32 adult signals), and Photopic 2.0 EGR Flicker Response (63 pediatric signals, 38 adult signals). 20 signals of Scotopic 2.0 ERG Oscillatory Potentials in addition to that. 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.</description><identifier>DOI: 10.21227/a9r0-xs82</identifier><language>eng</language><publisher>IEEE DataPort</publisher><subject>adult ERG ; Biomedical and Health Sciences ; Biophysiological Signals ; DA ERG ; DA flicker ; dark-adapted ERG ; electroretinography ; ERG ; flicker response ; LA ERG ; light-adapted ERG ; maximum response ; oculusgraphy ; OP ERG ; oscillatory potentials ; pediatric ERG ; photopic flicker response ; photopic response ; scotopic response ; Signal Processing</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-0486-7552 ; 0000-0003-2318-9144 ; 0000-0001-9569-5906 ; 0000-0003-4725-3681 ; 0000-0001-7019-3002 ; 0000-0003-3484-8985 ; 0000-0002-2353-9610 ; 0000-0002-7117-1267 ; 0000-0002-2860-2711</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.21227/a9r0-xs82$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Zhdanov, Aleksei E.</creatorcontrib><creatorcontrib>Dolganov, Anton Yu</creatorcontrib><creatorcontrib>Borisov, Vasilii I.</creatorcontrib><creatorcontrib>Lucian, Evdochim</creatorcontrib><creatorcontrib>Bao, Xinqi</creatorcontrib><creatorcontrib>Kazaijkin, Victor N.</creatorcontrib><creatorcontrib>Ponomarev, Vyacheslav O.</creatorcontrib><creatorcontrib>Lizunov, Alexander V.</creatorcontrib><creatorcontrib>Ivliev, Sergey A.</creatorcontrib><title>OculusGraphy: Pediatric and Adults Electroretinograms Database</title><description>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 based on several protocols: Scotopic 2.0 ERG Response (53 pediatric signals, 23 adult signals), Maximum 2.0 ERG Response (80 pediatric signals, 42 adult signals), Photopic 2.0 ERG Response (74 pediatric signals, 32 adult signals), and Photopic 2.0 EGR Flicker Response (63 pediatric signals, 38 adult signals). 20 signals of Scotopic 2.0 ERG Oscillatory Potentials in addition to that. 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.</description><subject>adult ERG</subject><subject>Biomedical and Health Sciences</subject><subject>Biophysiological Signals</subject><subject>DA ERG</subject><subject>DA flicker</subject><subject>dark-adapted ERG</subject><subject>electroretinography</subject><subject>ERG</subject><subject>flicker response</subject><subject>LA ERG</subject><subject>light-adapted ERG</subject><subject>maximum response</subject><subject>oculusgraphy</subject><subject>OP ERG</subject><subject>oscillatory potentials</subject><subject>pediatric ERG</subject><subject>photopic flicker response</subject><subject>photopic response</subject><subject>scotopic response</subject><subject>Signal Processing</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2020</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBAyNNAzMjQyMtdPtCwy0K0otjDiZLDzTy7NKS12L0osyKi0UghITclMLCnKTFZIzEtRcEwpzSkpVnDNSU0uKcovSi3JzMtPL0rMLVZwSSxJTEosTuVhYE1LzClO5YXS3Axabq4hzh66KUAFyZklqfEFRZm5iUWV8YYG8WDL40GWx4MsNyZJMQCJtjyq</recordid><startdate>20201127</startdate><enddate>20201127</enddate><creator>Zhdanov, Aleksei E.</creator><creator>Dolganov, Anton Yu</creator><creator>Borisov, Vasilii I.</creator><creator>Lucian, Evdochim</creator><creator>Bao, Xinqi</creator><creator>Kazaijkin, Victor N.</creator><creator>Ponomarev, Vyacheslav O.</creator><creator>Lizunov, Alexander V.</creator><creator>Ivliev, Sergey A.</creator><general>IEEE DataPort</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0003-0486-7552</orcidid><orcidid>https://orcid.org/0000-0003-2318-9144</orcidid><orcidid>https://orcid.org/0000-0001-9569-5906</orcidid><orcidid>https://orcid.org/0000-0003-4725-3681</orcidid><orcidid>https://orcid.org/0000-0001-7019-3002</orcidid><orcidid>https://orcid.org/0000-0003-3484-8985</orcidid><orcidid>https://orcid.org/0000-0002-2353-9610</orcidid><orcidid>https://orcid.org/0000-0002-7117-1267</orcidid><orcidid>https://orcid.org/0000-0002-2860-2711</orcidid></search><sort><creationdate>20201127</creationdate><title>OculusGraphy: Pediatric and Adults Electroretinograms Database</title><author>Zhdanov, Aleksei E. ; Dolganov, Anton Yu ; Borisov, Vasilii I. ; Lucian, Evdochim ; Bao, Xinqi ; Kazaijkin, Victor N. ; Ponomarev, Vyacheslav O. ; Lizunov, Alexander V. ; Ivliev, Sergey A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_21227_a9r0_xs823</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2020</creationdate><topic>adult ERG</topic><topic>Biomedical and Health Sciences</topic><topic>Biophysiological Signals</topic><topic>DA ERG</topic><topic>DA flicker</topic><topic>dark-adapted ERG</topic><topic>electroretinography</topic><topic>ERG</topic><topic>flicker response</topic><topic>LA ERG</topic><topic>light-adapted ERG</topic><topic>maximum response</topic><topic>oculusgraphy</topic><topic>OP ERG</topic><topic>oscillatory potentials</topic><topic>pediatric ERG</topic><topic>photopic flicker response</topic><topic>photopic response</topic><topic>scotopic response</topic><topic>Signal Processing</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhdanov, Aleksei E.</creatorcontrib><creatorcontrib>Dolganov, Anton Yu</creatorcontrib><creatorcontrib>Borisov, Vasilii I.</creatorcontrib><creatorcontrib>Lucian, Evdochim</creatorcontrib><creatorcontrib>Bao, Xinqi</creatorcontrib><creatorcontrib>Kazaijkin, Victor N.</creatorcontrib><creatorcontrib>Ponomarev, Vyacheslav O.</creatorcontrib><creatorcontrib>Lizunov, Alexander V.</creatorcontrib><creatorcontrib>Ivliev, Sergey A.</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhdanov, Aleksei E.</au><au>Dolganov, Anton Yu</au><au>Borisov, Vasilii I.</au><au>Lucian, Evdochim</au><au>Bao, Xinqi</au><au>Kazaijkin, Victor N.</au><au>Ponomarev, Vyacheslav O.</au><au>Lizunov, Alexander V.</au><au>Ivliev, Sergey A.</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>OculusGraphy: Pediatric and Adults Electroretinograms Database</title><date>2020-11-27</date><risdate>2020</risdate><abstract>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 based on several protocols: Scotopic 2.0 ERG Response (53 pediatric signals, 23 adult signals), Maximum 2.0 ERG Response (80 pediatric signals, 42 adult signals), Photopic 2.0 ERG Response (74 pediatric signals, 32 adult signals), and Photopic 2.0 EGR Flicker Response (63 pediatric signals, 38 adult signals). 20 signals of Scotopic 2.0 ERG Oscillatory Potentials in addition to that. The tests were performed at the IRTC Eye Microsurgery Ekaterinburg Center. 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| identifier | DOI: 10.21227/a9r0-xs82 |
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| language | eng |
| recordid | cdi_datacite_primary_10_21227_a9r0_xs82 |
| source | DataCite |
| subjects | adult ERG Biomedical and Health Sciences Biophysiological Signals DA ERG DA flicker dark-adapted ERG electroretinography ERG flicker response LA ERG light-adapted ERG maximum response oculusgraphy OP ERG oscillatory potentials pediatric ERG photopic flicker response photopic response scotopic response Signal Processing |
| title | OculusGraphy: Pediatric and Adults Electroretinograms Database |
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