Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU
A deep learning framework combining a 1D SE-ResNet with ICU-realistic data augmentations and a physics-informed auxiliary reconstruction task based on the three-element Windkessel hemodynamic model, implemented as a differentiable forward simulation is proposed.
Athanasios Papastathopoulos-Katsaros, A. Stavrianidi, Zhan-Dong Liu
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