Author

Thomas Penzel

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#machine learning Preprint Oct 2026

ECG-SDI: Single-lead Electrocardiogram Enables Continuous Sleep Depth Index Profiling and Scalable Digital Biomarkers for Sleep Health

Conventional sleep staging provides a coarse-grained representation that obscures within-stage depth variation. We developed ECG-SDI, a single-lead electrocardiography (ECG) framework for continuous sleep-depth profiling and digital biomarker extraction. Using 12,392 overnight polysomnographic recordings, we trained an...

Dong-Lin Xie, Qing-Shuo Zhao, Song-Chi Zhou et al. · 0 citations

Open access Oct 2026

PPGNet: Deep Multiple Instance Learning for Automated Hypertension Detection in OSA Patients Using PPG Signals

PPGNet is presented, a deep learning framework for diagnostic detection of established HTN in OSA patients using photoplethysmography signals extracted from standard overnight PSG recordings, enabling earlier HTN identification in this highrisk population without additional instrumentation.

Hisham El-moaqet, Rami Janini, M. Salanitro et al. · Current Directions in Biomed... · 0 citations

Open access Sep 2026

Comparative cohort analysis of sleep-disordered breathing in German and South Korean populations.

SDB carries distinct cardiometabolic implications across German and South Korean populations, reflecting differences in adiposity related susceptibility and underlying disease burden, and AHI should be interpreted alongside population appropriate measures of adiposity and cardiometabolic risk.

M. Salanitro, A. Weihs, Seung Ku Lee et al. · Sleep Medicine · 0 citations