Kalman filter soft sensor to handle signal quality loss in closed-loop controlled anesthesia
Background and objective:This study aims to enhance the performance of a closed-loop anesthetic depth control system by fusing noise-corrupted clinical measurements with a non-perfect pharmacological model.Methods:We implement a Kalman filter to constitute a trade-off between model prediction and measurement signal dependence for depth of hypnosis (DoH) control using a previously evaluated PID con