The role of dataset integrity, calibration and signal quality in neural network-based blood pressure estimation
Cuffless blood pressure (BP) estimation via photoplethysmography (PPG) and machine learning has been widely studied, yet reported accuracy remains below clinically acceptable levels, limiting adoption in sport, ambient living, and telemedicine. This study systematically examines potential error sources underlying these...