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<title>A comprehensive dataset of pattern electroretinograms for ocular electrophysiology research</title>
<creator>Fernández Martínez, Itziar</creator>
<creator>Cuadrado Asensio, Rubén</creator>
<creator>Larriba González, Yolanda</creator>
<creator>Rueda Sabater, María Cristina</creator>
<creator>Coco Martín, Rosa María</creator>
<subject>Oftalmología</subject>
<subject>Estadística</subject>
<subject>Electrofisiología</subject>
<description>Producción Científica</description>
<description>The Pattern Electroretinogram (PERG) is an essential tool in ophthalmic electrophysiology, providing an&#xd;
objective assessment of the central retinal function. It quantifies the activity of cells in the macula and&#xd;
the ganglion cells of the retina, assisting in the differentiation of macular and optic nerve conditions.&#xd;
In this study, we present the IOBA-PERG dataset, an extensive collection of 1354 transient PERG&#xd;
responses accessible on the PhysioNet repository. These recordings were conducted at the Institute of&#xd;
Applied Ophthalmobiology (IOBA) at University of Valladolid, over an extended period spanning nearly&#xd;
two decades, from 2003 to 2022. The dataset includes 336 records, ensuring at least one PERG signal&#xd;
per eye. The dataset thoughtfully includes demographic and clinical data, comprising information such&#xd;
as age, gender, visual acuity measurements, and expert diagnoses. This comprehensive dataset fills a&#xd;
gap in ocular electrophysiological repositories, enhancing ophthalmology research. Researchers can&#xd;
explore a broad range of eye-related conditions and diseases, leading to enhanced diagnostic accuracy,&#xd;
innovative treatment strategies, methodological advancements, and a deeper understanding of ocular&#xd;
electrophysiology.</description>
<date>2024-09-27</date>
<date>2024-09-27</date>
<date>2024</date>
<type>info:eu-repo/semantics/article</type>
<identifier>Scientific Data , septiembre 2024, vol. 11, nº artículo 1013, páginas 1-10.</identifier>
<identifier>2052-4463</identifier>
<identifier>https://uvadoc.uva.es/handle/10324/70219</identifier>
<identifier>10.1038/s41597-024-03857-1</identifier>
<identifier>1</identifier>
<identifier>1</identifier>
<identifier>10</identifier>
<identifier>Scientific Data</identifier>
<identifier>11</identifier>
<identifier>2052-4463</identifier>
<language>spa</language>
<relation>https://www.nature.com/articles/s41597-024-03857-1</relation>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</rights>
<rights>Springer Nature</rights>
<rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</rights>
<publisher>Springer Nature</publisher>
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