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eess.SP2026
Multi-View Hierarchical Representation Learning of Fetal Hemodynamics for Maternal Hypertension Detection at the Edge
Alireza Rafiei, Anahí Venzor Strader, Esteban Castro Aragón +6
Hypertensive disorders of pregnancy remain a leading cause of maternal and fetal morbidity worldwide, yet diagnosis relies on intermittent cuff-based blood pressure measurements th…
eess.SP2024★ 1 cited
Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach
Mohsen Motie-Shirazi, Reza Sameni, Peter Rohloff +2
In this study, we present a deep learning framework designed to integrate with our previously developed system that facilitates large-scale 1D fetal Doppler data collection, aiming…