Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography
Phy-BP is a physics-constrained deep learning framework that estimates blood pressure from triaxial bodyseismography (BSG). It embeds a 3D wave propagation model into the neural network to align features across different axes, improving accuracy significantly over traditional models. The method uses quality control and physical constraints to handle body movement variations.