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筛选标注的心电图（electrocardiogram, ECG）图像集合，旨在为机器学习与深度学习在心肌梗死（myocardial infarction, MI）及其相关并发症自动化诊断方向的研究提供支撑。本数据集主要聚焦于真实临床场景采集的可视化心电数据，来源涵盖医院心电监护仪及公开可用的心电数据库。数据集中每幅图像均对应单次心电记录，均为临床心电设备采集的高分辨率图像。所有图像均经过清晰度优化预处理，分辨率已统一标准化，并由认证心脏病学家或临床专家，依据各类心肌梗死及心脏并发症对应的形态学与波形特征完成标注。本数据集的心电图像均由设置为0.67–25 Hz频率范围、10 mm/mV导联电压的心电设备采集所得。