Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International ConferenceHumansElectrocardiographyDeep LearningSleep ApneaObstructive
SCM-4-OSA: An End-to-End Explainable Deep Learning Model for Interpretable Obstructive Sleep Apnea Detection Based on Cyclic Variation of Heart Rate in ECG.
Weinan Wang, Kevin Kilgore, Laleh Najafizadeh
Published: 202510.1109/EMBC58623.2025.11253001
Abstract
Polysomnography (PSG) is considered as the gold standard for detecting obstructive sleep apnea (OSA). Recently, the automatic identification of cyclic variation of heart rate (CVHR) in single-lead electrocardiogram (ECG) signal has emerged as a promi…
Preview only. Read the full abstract at the source