A Comprehensive Dataset of Pattern Electroretinograms for Ocular Electrophysiology Research: The PERG-IOBA Dataset

The pattern electroretinogram (PERG) is a valuable tool in ophthalmic
electrophysiology, offering a non-invasive and objective method to evaluate
central retinal function. By measuring electrical activity in the macula and
retinal ganglion cells, PERG provides essential quantitative insights,
especially when distinguishing between macular and optic nerve diseases
remains challenging. This dataset comprises 1354 transient PERG responses from
304 subjects in 336 records, representing a comprehensive collection of ocular
electrophysiological data. The evaluations took place at the Institute of
Applied Ophthalmobiology (IOBA) at the University of Valladolid, Spain, from
2003 to 2022. Detailed clinical information, including age, gender, and
diagnoses, is provided in CSV format. Additionally, the dataset, which
guarantees the presence of at least one PERG signal for each eye, incorporates
visual acuity measurements in logMar scale, facilitating assessments of vision
quality. Addressing a significant gap in ocular electrophysiological signal
repositories, this dataset serves as a valuable resource for the advancement
of ophthalmology research. Researchers can explore a wide range of eye-related
conditions and diseases, leading to improved diagnostic techniques, treatment
strategies, and a deeper understanding of ocular electrophysiology.