ECG Image dataset for Myocardial Infarction Complication

The ECG Image Dataset for Myocardial Infarction Complication is a curated collection of annotated electrocardiogram (ECG) images aimed at facilitating machine learning and deep learning research in the automated diagnosis of myocardial infarction (MI) and its related complications. This dataset primarily focuses on visual ECG data obtained from real-world clinical environments, including hospital ECG monitors and publicly available ECG databases.
Each image in the dataset represents a single ECG recording, captured as a high-resolution image from clinical ECG equipment. The images have been preprocessed for clarity, standardized in resolution, and labeled by certified cardiologists or expert clinicians based on the morphological and waveform features indicative of various types of MI and cardiac complications. ECG images capture from ECG machine tuned on frequency 0.67- 25HZ and 10mm/mV lead voltage.

心肌梗死并发症心电图像数据集是一套经精心整理的标注心电图（electrocardiogram，ECG）图像集合，旨在推动机器学习与深度学习在心肌梗死（myocardial infarction，简称MI）及其相关并发症自动化诊断领域的研究。本数据集主要聚焦于真实临床环境中获取的可视化ECG数据，涵盖医院心电监护仪采集的数据以及公开可用的ECG数据库资源。数据集中的每幅图像均对应单次心电记录，由临床心电设备采集为高分辨率图像。这些图像已完成清晰度优化预处理与分辨率标准化处理，并由持证心内科医师或临床专家，基于各类MI及心脏并发症相关的形态学与波形特征完成标注。本数据集收录的ECG图像均由参数设置为0.67-25Hz频率与10mm/mV导联电压的心电设备采集得到。