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
来源：
BIOMEDICAL SIGNAL PROCESSING AND CONTROL | 2018年 / 40卷
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
  • [41] A multi-model data fusion methodology for seasonal drought forecasting under uncertainty: Application of Bayesian maximum entropy
    Ghazipour, Fatemeh
    Mahjouri, Najmeh
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 304
  • [42] Closed-Loop MISO Identification of Propofol Effect on Blood Pressure and Depth of Hypnosis
    van Heusden, Klaske
    Yousefi, Mahdi
    Ansermino, J. Mark
    Dumont, Guy A.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2020, 28 (01) : 254 - 263
  • [43] Reinforcement Learning Versus Proportional-Integral-Derivative Control of Hypnosis in a Simulated Intraoperative Patient
    Moore, Brett L.
    Quasny, Todd M.
    Doufas, Anthony G.
    ANESTHESIA AND ANALGESIA, 2011, 112 (02) : 350 - 359
  • [44] First-Hand Design of a Fractional order PID for Controlling the Depth of Hypnosis during Induction
    Mihai, Marcian
    Birs, Isabela
    Erwin, Hegedus
    Copot, Dana
    Neckebroek, Martine
    De Keyser, Robain
    Ionescu, Clara M.
    Muresan, Cristina I.
    IFAC PAPERSONLINE, 2024, 58 (07): : 186 - 191
  • [45] A comparison of large-scale climate signals and the North American Multi-Model Ensemble (NMME) for drought prediction in China
    Xu, Lei
    Chen, Nengcheng
    Zhang, Xiang
    JOURNAL OF HYDROLOGY, 2018, 557 : 378 - 390
  • [46] Improved Individualized Patient-Oriented Depth-of-Hypnosis Measurement Based on Bispectral Index
    Karer, Gorazd
    Skrjanc, Igor
    SENSORS, 2023, 23 (01)
  • [47] Ant Colony Optimization PID Control of Hypnosis With Propofol Using Renyi Permutation Entropy as Controlled Variable
    Liang, Zhenhu
    Fu, Lingyun
    Li, Xiaoyu
    Feng, Zeguo
    Sleigh, Jamie W.
    Lam, Hak Keung
    IEEE ACCESS, 2019, 7 : 97689 - 97703
  • [48] Groundwater quality assessment by multi-model comparison: a comprehensive study during dry and wet periods in semi-arid regions
    Wang, Zihan
    Wang, Yong
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (18) : 51571 - 51594
  • [49] A compact fractional-order model for hypnosis in general anesthesia
    Mihai, Marcian
    Birs, Isabela
    Erwin, Hegedus
    Copot, Dana
    De Keyser, Robain
    Ionescu, Clara M.
    Muresan, Cristina I.
    Neckebroek, Martine
    IFAC PAPERSONLINE, 2024, 58 (12): : 55 - 60
  • [50] Pitfalls and challenges when assessing the depth of hypnosis during general anaesthesia by clinical signs and electronic indices
    Jensen, EW
    Litvan, H
    Struys, M
    Vazquez, PM
    ACTA ANAESTHESIOLOGICA SCANDINAVICA, 2004, 48 (10) : 1260 - 1267
12345