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.