Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

arXiv:2402.09450v1 Announce Type: cross
Abstract: Electrocardiograms (ECG) are widely employed as a diagnostic tool for monitoring electrical signals originating from a heart. Recent machine learning research efforts have focused on the application of screening various diseases using ECG signals. However, adapting to the application of screening disease is challenging in that labeled ECG data are limited. Achieving general representation through self-supervised learning (SSL) is a well-known approach to overcome the scarcity of labeled data; however, a naive application of SSL …

abstract application arxiv cs.ai cs.lg diagnostic disease diseases eess.sp machine machine learning monitoring relationship representation representation learning research screening temporal tool type