A model-based control scheme for depth of hypnosis in anesthesia

作者:Merigo Luca; Padula Fabrizio; Pawlowski Andrzej; Dormido Sebastian; Guzman Sanchez Jose Luis; Latronico Nicola; Paltenghi Massimiliano; Visioli Antonio*
来源:Biomedical Signal Processing and Control, 2018, 42: 216-229.
DOI:10.1016/j.bspc.2018.01.023

摘要

In this paper we propose a model-based scheme to control the depth of hypnosis in anesthesia that uses the BIS signal as controlled variable. In particular, the control scheme exploits the propofol pharmacok-inetics/pharmacodynamics model of the patient so that the estimated effect-site concentration is used as a feedback signal for a standard PID controller, which compensates for the model uncertainties. The tuning of the parameters is performed off-line using genetic algorithms to minimize a performance index over a given data set of patients.
The effectiveness of the proposed method is verified by means of a Monte Carlo method that takes into account both the intra-patient and inter-patient variability. In general, we obtain a fast induction phase with limited overshoot and a good disturbance rejection during maintenance of anesthesia.

  • 出版日期2018-4