10,000 RR间隔数据（9500非房颤 & 500阵发性房颤）

数据集获取（Figshare）

• 源站标题：10,000 RR Interval Data (9500NAF & 500PAF) from 24 h Holter recordings used for atrial fibrillation detection
• DOI：10.6084/m9.figshare.28000112.v2
• 发布日期：2024-12-13
• 文件数：1 个
• 文件总体积：873.50 MB
• 源站页面：https://figshare.com/articles/dataset/RR_Interval_Data_9500NAF_500PAF_/28000112

命令行下载

curl -L -o "rri_data.zip" "https://ndownloader.figshare.com/files/51079145"

文件清单

• rri_data.zip（873.50 MB）

文件总体积 873.50 MB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

This RR interval dataset is derived from 10,000 cases of 24-hour Holter monitoring data sampled at 128 Hz. Among the cases, 9,500 are labeled as non-atrial fibrillation (NAF), and 500 as paroxysmal atrial fibrillation (PAF). These data have been used in the article “Clinician-AI Collaboration: A Win-Win solution for Efficiency and Reliability in Atrial Fibrillation Diagnosis” published in Med. https://doi.org/10.1016/j.medj.2025.100668
The dataset formated as CSV file consists of two columns:

• rr_interval: Represents the interval between consecutive R-peaks, measured in milliseconds.
• label: Categorical labels for the beats, where:
• • 1 indicates AF
• 0 indicates NAF
• -1 indicates noise or artifacts

Each case is named based on its category. NAF cases are labeled as NAF0001.csv through NAF9500.csv, while PAF cases are labeled as PAF0001.csv through PAF0500.csv.
If you use this dataset, please cite the following article:
Zhang P, Lin F, Ma F, Chen Y, Liu Y, Feng X, Fang S, Zhang H, Xiao S, Yang X, Li D, Wang DW, Yang X, Li Q. Clinician-artificial intelligence collaboration: A win-win solution for efficiency and reliability in atrial fibrillation diagnosis. Med. 2025 Jul 11;6(7):100668. doi: 10.1016/j.medj.2025.100668.
For any questions, please contact the email: hustzp@hust.edu.cn

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.28000112.v2（source: https://figshare.com/articles/dataset/RR_Interval_Data_9500NAF_500PAF_/28000112）。