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SHDB-AF: a Japanese Holter ECG database of atrial fibrillation
- physionet.org
Updated Apr 16, 2025
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EmailClick to copy linkLink copiedCiteKenta Tsutsui; Shany Biton Brimer; Joachim Behar (2025). SHDB-AF: a Japanese Holter ECG database of atrial fibrillation [Dataset]. http://doi.org/10.13026/n6yq-fq90Unique identifierhttps://doi.org/10.13026/n6yq-fq90Dataset updatedApr 16, 2025AuthorsKenta Tsutsui; Shany Biton Brimer; Joachim BeharLicenseOpen Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automaticallyDescriptionSaitama Heart Database Atrial Fibrillation (SHDB-AF) is a novel open-sourced Holter ECG database from Japan, containing data from 122 unique subjects with paroxysmal atrial fibrillation. Among the 128 recordings, 98 contain raw ECG data with rhythm annotations at the beat level, manually performed by a cardiology fellow. The remaining recordings consist only of ECG traces without annotations. The dataset was collected as part of a study evaluating the generalization performance of a deep learning atrial fibrillation event detection model across different distribution shifts.
- p
SHDB-AF: a Japanese Holter ECG database of atrial fibrillation
- physionet.org
Updated Aug 12, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteKenta Tsutsui; Shany Biton Brimer; Joachim Behar (2024). SHDB-AF: a Japanese Holter ECG database of atrial fibrillation [Dataset]. http://doi.org/10.13026/10mk-y852Unique identifierhttps://doi.org/10.13026/10mk-y852Dataset updatedAug 12, 2024AuthorsKenta Tsutsui; Shany Biton Brimer; Joachim BeharLicenseOpen Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automaticallyDescriptionSaitama Heart Database Atrial Fibrillation (SHDB-AF) is a novel open-sourced Holter ECG database from Japan, containing data from 100 unique patients with paroxysmal atrial fibrillation. The dataset contains raw ECG recordings with manually annotated rhythm at the beat level performed by a fellow in cardiology. The dataset was collected as part of a study evaluating the generalization performance of a deep learning atrial fibrillation event detection model across different distribution shifts.
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Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
Saitama Heart Database Atrial Fibrillation (SHDB-AF) is a novel open-sourced Holter ECG database from Japan, containing data from 122 unique subjects with paroxysmal atrial fibrillation. Among the 128 recordings, 98 contain raw ECG data with rhythm annotations at the beat level, manually performed by a cardiology fellow. The remaining recordings consist only of ECG traces without annotations. The dataset was collected as part of a study evaluating the generalization performance of a deep learning atrial fibrillation event detection model across different distribution shifts.