Electronics
A Pulse-Feature LSTM Framework with Temporal Variance-Based Prediction Filtering for rPPG-Based Blood Pressure Estimation
Computational studyBiomarkers
Abstract
Non-contact blood pressure (BP) estimation from remote photoplethysmography (rPPG) can yield unstable window-level predictions. This study combines a pulse-feature long short-term memory (LSTM) estimator with temporal variance-based prediction filtering.
