Brugada-HUCA: 12-Lead ECG Recordings for the Study of Brugada Syndrome

health life sciences medicine

Description

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.

Update Frequency

Not updated

License

Creative Commons Attribution-ShareAlike 4.0 International Public License

Documentation

https://doi.org/10.13026/0m2w-dy83

Managed By

PhysioNet

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Contact

https://physionet.org/about/#contact_us

How to Cite

Brugada-HUCA: 12-Lead ECG Recordings for the Study of Brugada Syndrome was accessed on DATE from https://registry.opendata.aws/brugada-huca.

Resources on AWS

  • Description
    https://doi.org/10.13026/0m2w-dy83
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::physionet-open/brugada-huca/
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://physionet-open/brugada-huca/

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