SHDB-AF: a Japanese Holter ECG database of atrial fibrillation
<|reference_start|>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 data from 100 unique patients with paroxysmal AF. Each record in SHDB-AF is 24 hours long and sampled at 200 Hz, totaling 24 million seconds of ECG data.<|reference_end|>
@article{tsutsui2024shdb-af:,
    title={SHDB-AF: a Japanese Holter ECG database of atrial fibrillation},
    author={Kenta Tsutsui, Shany Biton Brimer, Noam Ben-Moshe, Jean Marc Sellal,
  Julien Oster, Hitoshi Mori, Yoshifumi Ikeda, Takahide Arai, Shintaro Nakano,
  Ritsushi Kato and Joachim A. Behar},
    journal={arXiv preprint arXiv:2406.16974},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.16974},
    primaryClass={cs.LG physics.med-ph}
}