2 papers
cs.LG2026
Beat-ssl: Capturing Local ECG Morphology through Heartbeat-level Contrastive Learning with Soft Targets
Muhammad Ilham Rizqyawan, Peter Macfarlane, Stathis Hadjidemetriou +1
Obtaining labelled ECG data for developing supervised models is challenging. Contrastive learning (CL) has emerged as a promising pretraining approach that enables effective transf…
eess.SP2025
CODE-II: A large-scale dataset for artificial intelligence in ECG analysis
Petrus E. O. G. B. Abreu, Gabriela M. M. Paixão, Jiawei Li +7
Data-driven methods for electrocardiogram (ECG) interpretation are rapidly progressing. Large datasets have enabled advances in artificial intelligence (AI) based ECG analysis, yet…