2026-04-28T18:58:53Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/702192025-09-10T12:56:25Zcom_10324_1138com_10324_931com_10324_894col_10324_1226

Fernández Martínez, Itziar Cuadrado Asensio, Rubén Larriba González, Yolanda Rueda Sabater, María Cristina Coco Martín, Rosa María 2024-09-27T12:24:49Z 2024-09-27T12:24:49Z 2024 Scientific Data , septiembre 2024, vol. 11, nº artículo 1013, páginas 1-10. 2052-4463 https://uvadoc.uva.es/handle/10324/70219 10.1038/s41597-024-03857-1 1 1 10 Scientific Data 11 2052-4463 The Pattern Electroretinogram (PERG) is an essential tool in ophthalmic electrophysiology, providing an objective assessment of the central retinal function. It quantifies the activity of cells in the macula and the ganglion cells of the retina, assisting in the differentiation of macular and optic nerve conditions. In this study, we present the IOBA-PERG dataset, an extensive collection of 1354 transient PERG responses accessible on the PhysioNet repository. These recordings were conducted at the Institute of Applied Ophthalmobiology (IOBA) at University of Valladolid, over an extended period spanning nearly two decades, from 2003 to 2022. The dataset includes 336 records, ensuring at least one PERG signal per eye. The dataset thoughtfully includes demographic and clinical data, comprising information such as age, gender, visual acuity measurements, and expert diagnoses. This comprehensive dataset fills a gap in ocular electrophysiological repositories, enhancing ophthalmology research. Researchers can explore a broad range of eye-related conditions and diseases, leading to enhanced diagnostic accuracy, innovative treatment strategies, methodological advancements, and a deeper understanding of ocular electrophysiology. spa info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Springer Nature Attribution-NonCommercial-NoDerivatives 4.0 Internacional Oftalmología Estadística Electrofisiología A comprehensive dataset of pattern electroretinograms for ocular electrophysiology research info:eu-repo/semantics/article