A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning
Alan John Varghese, Achilles Gatsonis, Melih Ağraz, Vivek Oommen, Anshul B. Parulkar, Antony Chu, George Em Karniadakis
This paper develops a deep learning framework for obstructive sleep apnea classification from ECG signals, using two datasets and integrating feature engineering with transfer learning for improved generalization and personalization.
npj Biological Timing and Sleep · Aug 5, 2026Peer-reviewedBioinformatics