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

© 2018 Elsevier Ltd. 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 effe...

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Main Authors: Merigo, L., Padula, Fabrizio, Pawlowski, A., Dormido, S., Guzmán Sánchez, J., Latronico, N., Paltenghi, M., Visioli, A.
Format: Journal Article
Published: 2018
Online Access:http://hdl.handle.net/20.500.11937/66178
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author Merigo, L.
Padula, Fabrizio
Pawlowski, A.
Dormido, S.
Guzmán Sánchez, J.
Latronico, N.
Paltenghi, M.
Visioli, A.
author_facet Merigo, L.
Padula, Fabrizio
Pawlowski, A.
Dormido, S.
Guzmán Sánchez, J.
Latronico, N.
Paltenghi, M.
Visioli, A.
author_sort Merigo, L.
building Curtin Institutional Repository
collection Online Access
description © 2018 Elsevier Ltd. 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.
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institution Curtin University Malaysia
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publishDate 2018
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spelling curtin-20.500.11937-661782018-06-12T06:47:56Z A model-based control scheme for depth of hypnosis in anesthesia Merigo, L. Padula, Fabrizio Pawlowski, A. Dormido, S. Guzmán Sánchez, J. Latronico, N. Paltenghi, M. Visioli, A. © 2018 Elsevier Ltd. 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. 2018 Journal Article http://hdl.handle.net/20.500.11937/66178 10.1016/j.bspc.2018.01.023 restricted
spellingShingle Merigo, L.
Padula, Fabrizio
Pawlowski, A.
Dormido, S.
Guzmán Sánchez, J.
Latronico, N.
Paltenghi, M.
Visioli, A.
A model-based control scheme for depth of hypnosis in anesthesia
title A model-based control scheme for depth of hypnosis in anesthesia
title_full A model-based control scheme for depth of hypnosis in anesthesia
title_fullStr A model-based control scheme for depth of hypnosis in anesthesia
title_full_unstemmed A model-based control scheme for depth of hypnosis in anesthesia
title_short A model-based control scheme for depth of hypnosis in anesthesia
title_sort model-based control scheme for depth of hypnosis in anesthesia
url http://hdl.handle.net/20.500.11937/66178