A model-based control scheme for depth of hypnosis in anesthesia. (April 2018)

• Record Type: Journal Article
• Authors: Merigo, Luca; Padula, Fabrizio; Pawlowski, Andrzej; Dormido, Sebastián; Guzmán Sánchez, José Luis; Latronico, Nicola; Paltenghi, Massimiliano; Visioli, Antonio
• Is Part Of: Biomedical signal processing and control. Volume 42(2018)
• Page Start: 216
• Page End: 229
• Publication Date: 2018-04
• Subjects: AEP auditory evoked potential -- BIS bispectral index -- BIS-NADIR lowest value of the bispectral index -- DoH depth of hypnosis -- EEG electroencephalogram -- IAE integrated absolute error -- PID proportional-integral-derivative -- PD pharmacodynamics -- PK pharmacokinetics -- PSD power spectral density -- ST10 10% settling time -- ST20 20% settling time -- TCI target controlled infusion -- TIVA total intravenous anesthesia -- TT time to target -- TV total variation -- US undershoot; Depth of hypnosis control -- Individualized drug administration -- Model-based control -- PID control; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2018.01.023
• Languages: English
• ISSNs: 1746-8094

Abstract

Abstract: 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 pharmacokinetics/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.