Self-supervised representation learning from 12-lead ECG data

Download PDF
Open Webpage

Temesgen Mehari, Nils Strodthoff

Published: 2022, Last Modified: 14 May 2025Comput. Biol. Medicine 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Self-supervised representation learning is highly effective for 12-lead ECG data.•Most effective: adaptation of contrastive predictive coding from speech processing.•Benefits for finetuned models: improved quantitative performance and label efficiency.•Additional benefit: improved robustness against physiological noise.