A dataset of 12-lead ECGs with annotations. The dataset contains 345 779 exams from 233 770 patients. It was obtained through stratified sampling from the CODE dataset ( 15% of the patients). The data
This dataset is a denoised version of the CPSC dataset presented in Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 20201. This dataset was used as part of the article
The application of artificial intelligence (AI) systems has surged in the high-risk area of medicine, and these systems must explain their decisions to different users. However, existing explainable A
Resting ECG Segmentation Dataset (RDB) is a fully annotated, 12-lead resting-state ECG corpus built for waveform‐level delineation research. Origin – RDB is a derivative of the large,
