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
Dataset used in the training and evaluation of "Interpretation of EKG with Image Recognition and Convolutional Neural Networks" Abstract: Electrocardiograms (EKG) form the backbone of all cardiovascul
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
Contributor(s): Marriott, Henry J. L. (Henry Joseph Llewellyn), 1917-2007 Emory University. Department of Medicine. Georgia Regional Medical Television Network. Publication: Atlanta : Georgia Regional