Multi-model robust control of depth of hypnosis

被引:23
|
作者
Sadati, Nasser [1 ]
Hosseinzadeh, Mehdi [2 ]
Dumont, Guy A. [3 ]
机构
[1] Sharif Univ Technol, Dept Elect Engn, Tehran 113659363, Iran
[2] Univ Tehran, Coll Engn, Sch Elect & Comp Engn, Tehran 14395515, Iran
[3] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
关键词
Automated drug delivery; Anesthesia; Pharmacokinetic-pharmacodynamic modeling; Depth of hypnosis; Multi-model robust control scheme; CLOSED-LOOP CONTROL; PROPOFOL ANESTHESIA; BISPECTRAL ANALYSIS; INDEX;
D O I
10.1016/j.bspc.2017.10.003
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper presents a multi-model robust control scheme to control the depth of hypnosis during intravenous administration of propofol. The objective of the proposed control scheme is to provide an adequate drug administration regime for propofol to avoid overdosing and underdosing of patients. The proposed scheme is designed to withstand the patient's inherent drug response variability, to achieve good output disturbance and sensor noise rejection, and to attain a good set point response. A comprehensive simulation study of 44 patients is presented to assess the performance of the proposed control scheme. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:443 / 453
页数:11
相关论文
共 50 条
  • [21] Multi-model decoupled generic model control
    Riggs, JB
    Lee, PL
    PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1997, : 2488 - 2492
  • [22] Multi-model solution for the control of chaos
    Duchâteau, A.
    Bradshaw, N.P.
    Bersini, H.
    International Journal of Control, 1999, 72 (07): : 727 - 739
  • [23] Research on multi-model control for AMB
    Su, YX
    Wu, HZ
    Zhang, DH
    Zhou, ZD
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 7645 - 7648
  • [24] A multi-model solution for the control of chaos
    Duchâteau, A
    Bradshaw, NP
    Bersini, H
    INTERNATIONAL JOURNAL OF CONTROL, 1999, 72 (7-8) : 727 - 739
  • [25] Multi-model minimum variance control
    Likothanassis, SD
    Katsikas, SK
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 1998, 12 (06) : 527 - 535
  • [26] MULTI-MODEL ROBUST ERROR CORRECTION FOR FACE RECOGNITION
    Iliadis, Michael
    Spinoulas, Leonidas
    Berahas, Albert S.
    Wang, Haohong
    Katsaggelos, Aggelos K.
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 3229 - 3233
  • [27] A Robust Multi-Model Approach for Face Detection in Crowd
    Lamba, Sonu
    Nain, Neeta
    Chahar, Harendra
    2016 12TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS), 2016, : 96 - 103
  • [28] Robust cooperative distributed MPC: A multi-model approach
    Sencio, Rafael R.
    Odloak, Darci
    JOURNAL OF PROCESS CONTROL, 2022, 117 : 65 - 77
  • [29] Robust decentralized multi-model adaptive template tracking
    Firouzi, Hadi
    Najjaran, Homayoun
    PATTERN RECOGNITION, 2012, 45 (12) : 4494 - 4509
  • [30] A Global Optimization Approach to Robust Multi-Model Fitting
    Yu, Jin
    Chin, Tat-Jun
    Suter, David
    2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2011,