SHDB-AF: a Japanese Holter ECG database of atrial fibrillation

Atrial fibrillation (AF) is a common atrial arrhythmia that impairs quality of life and causes embolic stroke, heart failure and other complications. Recent advancements in machine learning (ML) and deep learning (DL) have shown potential for enhancing diagnostic accuracy. It is essential for DL models to be robust and generalizable across variations in ethnicity, age, sex, and other factors. Although a number of ECG database have been made available to the research community, none includes a Japanese population sample. Saitama Heart Database Atrial Fibrillation (SHDB-AF) is a novel open-sourced Holter ECG database from Japan, containing 128 ECG with detailed clinical information from 122 unique patients. Each record in SHDB-AF is 24 hours long and has two channels, totaling 21.6 million seconds of ECG data. The dataset is available at https://physionet.org/content/shdb-af/ .

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Publication Details

Journal
Scientific Data
Published
2025-03-19
DOI
https://doi.org/10.1038/s41597-025-04777-4
Citations
7
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
9.72
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article

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation

Ritsushi Kato, Shintaro Nakano, Kenta Tsutsui, Julien Oster et al.
7 citations
Scientific Data
Atrial Fibrillation Management and Outcomes
9.72
article

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation

Ritsushi Kato, Shintaro Nakano, Kenta Tsutsui, Julien Oster, Takahide Arai, Joachim A. Behar, Shany Biton Brimer, Yoshifumi Ikeda, Noam Ben-Moshe, Jean Marc Sellal, Hitoshi Mori
article en
7 citations

Abstract

Atrial fibrillation (AF) is a common atrial arrhythmia that impairs quality of life and causes embolic stroke, heart failure and other complications. Recent advancements in machine learning (ML) and deep learning (DL) have shown potential for enhancing diagnostic accuracy. It is essential for DL models to be robust and generalizable across variations in ethnicity, age, sex, and other factors. Although a number of ECG database have been made available to the research community, none includes a Japanese population sample. Saitama Heart Database Atrial Fibrillation (SHDB-AF) is a novel open-sourced Holter ECG database from Japan, containing 128 ECG with detailed clinical information from 122 unique patients. Each record in SHDB-AF is 24 hours long and has two channels, totaling 21.6 million seconds of ECG data. The dataset is available at https://physionet.org/content/shdb-af/ .

Scientific DataVol. 12(1)
Inserm (FR), Technion – Israel Institute of Technology (IL), Centre Hospitalier Régional et Universitaire de Nancy (FR), Imagerie Adaptative Diagnostique et Interventionnelle (FR), Saitama International Medical Center (JP), Saitama Medical University (JP), Teikyo University (JP), Université de Lorraine (FR)
Openalex Percentile: Top 2%
Atrial Fibrillation Management and Outcomes
9.72
DOIOpen Access PDFOpenAlex
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