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+<h1>A Comprehensive Dataset of Pattern Electroretinograms for Ocular Electrophysiology Research: The PERG-IOBA Dataset</h1>
+
+<h2>Creators</h2>
+<ul>
+<li>Itziar Fernández</li>
+<li>Ruben Cuadrado Asensio</li>
+<li>Yolanda Larriba</li>
+<li>Cristina Rueda</li>
+<li>Rosa M Coco-Martin</li>
+</ul>
+
+<h2>Published</h2>
+<p><strong>Date:</strong> January 19, 2024</p>
+<p><strong>Version:</strong> 1.0.0</p>
+
+<h2>Citation</h2>
+<ul>
+<li>Fernández, I., Cuadrado Asensio, R., Larriba, Y., Rueda, C., & Coco-Martin, R. M. (2024). A Comprehensive Dataset of Pattern Electroretinograms for Ocular Electrophysiology Research: The PERG-IOBA Dataset (version 1.0.0). <a href="https://doi.org/10.13026/d24m-w054" target="_blank">PhysioNet</a>.</li>
+<li>Goldberger, A. et al. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation, 101(23), e215–e220.</li>
+</ul>
+
+<h2>Abstract</h2>
+<p>
+The PERG-IOBA dataset contains 1354 transient Pattern Electroretinogram (PERG) responses from 304 subjects across 336 records. It was collected at the Institute of Applied Ophthalmobiology (IOBA), University of Valladolid, Spain, from 2003 to 2022. Each record includes detailed clinical information like age, gender, diagnosis, and visual acuity in logMAR scale. This dataset addresses the lack of publicly available ocular electrophysiological signals and enables advanced research in ophthalmology.
+</p>
+
+<h2>Background</h2>
+<p>
+The Pattern Electroretinogram (PERG) is a non-invasive tool measuring electrical activity from the macula and retinal ganglion cells, aiding diagnosis when vision dysfunction causes are unclear. IOBA collected a comprehensive dataset to bridge the scarcity of ocular electrophysiology repositories, thus promoting novel research into retinal disorders and optic neuropathies.
+</p>
+
+<h2>Methods</h2>
+<h3>Participants</h3>
+<ul>
+<li>Subjects: 304 (155 female).</li>
+<li>Age range: 4 to 86 years (mean: 37.1 ± 18.3).</li>
+<li>100 subjects classified as normal (no eye-related medical conditions).</li>
+<li>Some subjects participated in multiple visits.</li>
+</ul>
+
+<h3>Data Acquisition</h3>
+<ul>
+<li>Device: Optoelectronic Stimulator Vision Monitor MonPack 120 (Metrovision, France).</li>
+<li>Sampling rate: 1700 Hz.</li>
+<li>Signal duration: 150 ms (255 observations).</li>
+<li>Signals recorded per ISCEV guidelines.</li>
+<li>PERG stimuli: low-contrast, black-and-white checkerboards (1–2 Hz).</li>
+<li>Distinct wave components: N35, P50, N95 (typical_PERG.png provided).</li>
+</ul>
+
+<h2>Data Description</h2>
+<ul>
+<li>Records: 336 (one per visit).</li>
+<li>Signals: 1354 PERG signals (2–10 per record).</li>
+<li>Signal format: CSV files with time-stamped recordings (microvolt scale).</li>
+<li>Each signal labeled: RE_1 (right eye), LE_1 (left eye), with repeated tests RE_2, LE_2, etc.</li>
+<li>Additional file: participants_info.csv with demographic and clinical information.</li>
+</ul>
+
+<h3>Participants_info.csv columns</h3>
+<ul>
+<li><strong>id_record</strong>: Record identifier.</li>
+<li><strong>date</strong>: Date of record (randomly shifted).</li>
+<li><strong>age</strong>: Subject's age.</li>
+<li><strong>sex</strong>: Gender ("male" or "female").</li>
+<li><strong>diagnosis1-3</strong>: Diagnoses up to three fields.</li>
+<li><strong>va_re, va_le</strong>: Visual acuity (logMAR scale) for right and left eye.</li>
+<li><strong>unilateral</strong>: Indicates affected eye if unilateral.</li>
+<li><strong>rep_record</strong>: Indicates follow-up records.</li>
+<li><strong>comments</strong>: Additional information.</li>
+</ul>
+
+<h2>Usage Notes</h2>
+<p>
+This unique, comprehensive dataset enables research into visual system disorders, validation of signal-processing algorithms, and the development of innovative diagnostic methods. Part of the dataset was already used for validating new statistical models using the Frequency Modulated Möbius (FMM) approach.
+</p>
+
+<h2>Ethics</h2>
+<p>
+The dataset was collected with ethical approval from the IOBA Research Commission (Approval 2021/47). Informed consent was obtained, and all personal health information was removed. Record dates were date-shifted for privacy.
+</p>
+
+<h2>Acknowledgements</h2>
+<p>
+This project was supported by a biomedical research grant from the Eugenio Rodriguez Pascual Foundation (2021).
+</p>
+
+<h2>Conflicts of Interest</h2>
+<p>
+The authors have no conflicts of interest to declare.
+</p>
+
+<h2>References</h2>
+<ol>
+<li>Asanad S, Karanjia R. "Pattern Electroretinogram", StatPearls, 2022. PMID 32809476.</li>
+<li>Holder GE et al. "Pattern ERG: clinical overview", Doc Ophthalmol, 2003. PMID 12675481.</li>
+<li>Bach M et al. "ISCEV standard for clinical pattern electroretinography (PERG): 2012 update", Doc Ophthalmol, 2013. PMID 23073702.</li>
+<li>Canedo C et al. "Novel Modeling Proposals for the Analysis of Pattern Electroretinogram Signals", Springer, 2023.</li>
+</ol>
+
+<h2>Access and Licensing</h2>
+<ul>
+<li><strong>Access:</strong> Open to anyone who accepts the license terms.</li>
+<li><strong>License:</strong> Open Data Commons Attribution License v1.0</li>
+<li><strong>DOI (version 1.0.0):</strong> <a href="https://doi.org/10.13026/d24m-w054" target="_blank">https://doi.org/10.13026/d24m-w054</a></li>
+<li><strong>DOI (latest version):</strong> <a href="https://doi.org/10.13026/2t6a-xq52" target="_blank">https://doi.org/10.13026/2t6a-xq52</a></li>
+</ul>
+
+<h2>Corresponding Author</h2>
+<p>You must be logged in to view the contact information.</p>