health life sciences medicine
We present a novel dataset of 12-lead electrocardiogram (ECG) recordings developed to support the study and classification of Brugada syndrome, a rare but potentially fatal cardiac arrhythmia. The data were collected retrospectively from patients evaluated at the Cardiology Department of the Hospital Universitario Central de Asturias (HUCA) and reviewed by clinical experts. Diagnostic labels were assigned according to internationally accepted criteria. The dataset comprises 363 subjects in total, including 76 patients diagnosed with Brugada syndrome and 287 healthy control subjects. Each recording is accompanied by diagnostic information. This resource aims to facilitate the development and validation of machine learning algorithms and computational tools for ECG interpretation, supporting improved early detection and clinical decision-making. The dataset, fully anonymized in accordance with ethical and privacy standards, provides a reproducible foundation for collaborative research into Brugada syndrome and related cardiac conditions.
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Creative Commons Attribution-ShareAlike 4.0 International Public License
https://doi.org/10.13026/0m2w-dy83
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Brugada-HUCA: 12-Lead ECG Recordings for the Study of Brugada Syndrome was accessed on DATE from https://registry.opendata.aws/brugada-huca.
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