PhysioNet Challenge 2021

该数据集是一个面向公众的电生理图（ECG）研究数据集，旨在诊断广泛的心脏异常。它由七个子数据集组成，这些子数据集在人口统计特征上存在差异。具体包括五个用于实验的数据集：PTB-XL、Chapman-Shaoxing、Ningbo、G12EC和CPSC2018。该数据集规模宏大，包含了来自多个子数据集的超过1000份ECG记录。研究任务是对26种心律失常类别进行多标签分类（尤其关注七种常见类别）。

This is a publicly available electrocardiogram (ECG) research dataset designed to diagnose a wide range of cardiac abnormalities. It consists of seven sub-datasets that differ in their demographic characteristics. Specifically, five of these sub-datasets are intended for experimental use: PTB-XL, Chapman-Shaoxing, Ningbo, G12EC, and CPSC2018. This large-scale dataset contains over 1,000 ECG records from multiple sub-datasets. The primary research task of this dataset is multi-label classification for 26 arrhythmia categories, with particular focus on seven common categories.