U-FaceBP combines multiple Bayesian neural networks in an ensemble to estimate blood pressure from face video modalities while quantifying uncertainty, showing improved performance on datasets with 1197 diverse subjects.
Estimation and validation of arterial blood pressure using photoplethysmogram morphology features in conjunction with pulse arrival time in large open databases,
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U-FaceBP: Uncertainty-aware Bayesian Ensemble Deep Learning for Face Video-based Blood Pressure Estimation
U-FaceBP combines multiple Bayesian neural networks in an ensemble to estimate blood pressure from face video modalities while quantifying uncertainty, showing improved performance on datasets with 1197 diverse subjects.