Literature DB >> 30774115

Control of depth of anaesthesia using fractional-order adaptive high-gain controller.

Maryam Boroujerdi Alavi1, Mohammad Tabatabaei2.   

Abstract

This study presents a fractional-order adaptive high-gain controller for control of depth of anaesthesia. To determine the depth of anaesthesia, the bispectral index (BIS) is utilised. To attain the desired BIS, the propofol infusion rate (as the control signal) should be appropriately adjusted. The effect of the propofol on the human body is modelled with the pharmacokinetic-pharmacodynamic (PK/PD) model. Physical properties of the patient such as gender, age, height and a like determine the parameters of the PK/PD model. This necessitates us to employ an appropriate adaptive controller. To attain this goal, a fractional-order adaptive high-gain controller is constructed to solve the tracking problem for minimum phase systems with relative degree two (such as the PK/PD model). This leads to a time-varying gain adjusting according to a fractional-order adaptation mechanism. Simulation results performed on various patients (considering the external disturbance and the measurement noise) show the effectiveness of the proposed method.

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Year:  2019        PMID: 30774115      PMCID: PMC8687332          DOI: 10.1049/iet-syb.2018.5017

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  7 in total

Review 1.  Development and clinical application of electroencephalographic bispectrum monitoring.

Authors:  J W Johansen; P S Sebel
Journal:  Anesthesiology       Date:  2000-11       Impact factor: 7.892

2.  Controlling the depth of anesthesia by a novel positive control strategy.

Authors:  F N Nogueira; T Mendonça; P Rocha
Journal:  Comput Methods Programs Biomed       Date:  2014-01-08       Impact factor: 5.428

3.  The influence of method of administration and covariates on the pharmacokinetics of propofol in adult volunteers.

Authors:  T W Schnider; C F Minto; P L Gambus; C Andresen; D B Goodale; S L Shafer; E J Youngs
Journal:  Anesthesiology       Date:  1998-05       Impact factor: 7.892

4.  Adaptive computer control of anesthesia in humans.

Authors:  Juan Albino Méndez; Santiago Torres; José Antonio Reboso; Héctor Reboso
Journal:  Comput Methods Biomech Biomed Engin       Date:  2009-12       Impact factor: 1.763

5.  Robust predictive control strategy applied for propofol dosing using BIS as a controlled variable during anesthesia.

Authors:  Clara M Ionescu; Robin De Keyser; Bismark Claure Torrico; Tom De Smet; Michel M R F Struys; Julio E Normey-Rico
Journal:  IEEE Trans Biomed Eng       Date:  2008-09       Impact factor: 4.538

Review 6.  A Review of Modern Control Strategies for Clinical Evaluation of Propofol Anesthesia Administration Employing Hypnosis Level Regulation.

Authors:  Muhammad Ilyas; Muhammad Fasih Uddin Butt; Muhammad Bilal; Khalid Mahmood; Ali Khaqan; Raja Ali Riaz
Journal:  Biomed Res Int       Date:  2017-03-30       Impact factor: 3.411

7.  Control Law Design for Propofol Infusion to Regulate Depth of Hypnosis: A Nonlinear Control Strategy.

Authors:  Ali Khaqan; Muhammad Bilal; Muhammad Ilyas; Bilal Ijaz; Raja Ali Riaz
Journal:  Comput Math Methods Med       Date:  2016-04-27       Impact factor: 2.238

  7 in total

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