Dead-zone observer-based control for anesthesia subject to noisy BIS measurement

Tarbouriech, Sophie; Queinnec, Isabelle; García, Germain; Mazerolles, Michel

doi:10.1016/j.ifacol.2020.12.611

Cited by 1 publication

(1 citation statement)

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“…From the analyzed works, it appears that MPC-based control systems are able to provide a satisfactory performance, that is, to meet the clinical requirements. However, the BIS signal used as a feedback measure is characterized by a high signal-to-noise ratio that needs to be considered in the control algorithm [12,13]. Despite this, the noise handling issue in the anaesthesia process is frequently treated as a secondary problem or even neglected during the control system design, even if it is well known that, if the process noise is not handled properly in the control system, it can result in a severe performance degradation or even controller instability.…”

Section: 𝑃𝐾(𝑠) 𝑃𝐷(𝑠) 𝐻mentioning

confidence: 99%

MPC for Propofol Anesthesia: the Noise Issue

Pawłowski

Schiavo

Latronico

et al. 2022

2022 IEEE Conference on Control Technology and Applications (CCTA)

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The design of automatic control systems for general anesthesia is a challenging task due to the severe safety requirements and process constraints. This is even more complex when model-based control techniques are used due to the significant variability of the process model. Additionally, issues like noisy measurements and interference also influence the control system overall performance. In this context, adequate filtering and control system sampling period selection should be analyzed to test their influence on the controller. In this paper, an MPC system for the depth of hypnosis, where the BIS signal is used as a controlled variable, is analyzed. The main purpose is to test and evaluate how the process noise affects the performance of the control system. The analysis is performed in a simulation study using a dataset of virtual patients representative of a wide population. Results show that a satisfactory performance is obtained when the noise is explicitly taken into account in the controller tuning procedure for a specific sampling period.

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Section: 𝑃𝐾(𝑠) 𝑃𝐷(𝑠) 𝐻mentioning

confidence: 99%