Safety enforcement in closed-loop anesthesia—A comparison study. (December 2020)

• Record Type: Journal Article
• Authors: Hosseinzadeh, Mehdi; van Heusden, Klaske; Yousefi, Mahdi; Dumont, Guy A.; Garone, Emanuele
• Is Part Of: Control engineering practice. Volume 105(2020)
• Publication Date: 2020-12
• Subjects: Closed-loop anesthesia -- Safety enforcement -- Depth of hypnosis -- Constrained control -- Automated drug delivery; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2020.104653
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: This paper studies application of different constrained control concepts for the control of Depth of Hypnosis (DOH) in closed-loop anesthesia to guarantee patient safety, while ensuring acceptable tracking performance. The core idea is to formulate Overdosing (OD) prevention and Blood Pressure Decrease (BPD) prevention as operational constraints, and then use a constrained control scheme to enforce the constraints satisfaction at all times. In this paper, three methods are studied: (1) Explicit Reference Governor (ERG), (2) Safety Preserving Control (SPC), and (3) Model Predictive Control (MPC). The performance of the methods is assessed with respect to a simulated surgical procedure for 44 patients whose models have been identified using clinical data. In particular, three realistic clinical scenarios are studied in this paper: (1) normal mode, (2) stimulation, and (3) low clearance. The results demonstrate cons and pros of each method in closed-loop anesthesia according to clinically relevant assessments.