Literature DB >> 23748601

An enriched simulation environment for evaluation of closed-loop anesthesia.

Mengqi Fang1, Yuan Tao, Youqing Wang.   

Abstract

To simulate and evaluate the administration of anesthetic agents in the clinical setting, many pharmacology models have been proposed and validated, which play important roles for in silico testing of closed-loop control methods. However, to the authors' best knowledge, there is no anesthesia simulator incorporating closed-loop feedback control of anesthetic agent administration freely available and accessible to the public. Consequently, many necessary but time consuming procedures, such as selecting models from the available literatures and establishing new simulator algorithms, will be repeated by different researchers who intend to explore a novel control algorithm for closed-loop anesthesia. To address this issue, an enriched anesthesia simulator was devised in our laboratory and made freely available to the anesthesia community. This simulator was built by using MATLAB(®) (The MathWorks, Natick, MA). The GUI technology embedded in MATLAB was chosen as the tool to develop a human-machine interface. This simulator includes four types of anesthetic models, and all have been wildly used in closed-loop anesthesia studies. For each type of model, 24 virtual patients were created with significant diversity. In addition, the platform also provides a model identification module and a control method library. For the model identification module, the least square method and particle swarm optimization were presented. In the control method library, a proportional-integral-derivative control and a model predictive control were provided. Both the model identification module and the control method library are extensive and readily accessible for users to add user-defined functions. This simulator could be a benchmark-testing platform for closed-loop control of anesthesia, which is of great value and has significant development potential. For convenience, this simulator is termed as Wang's Simulator, which can be downloaded from http://www.AutomMed.org .

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Year:  2013        PMID: 23748601     DOI: 10.1007/s10877-013-9483-0

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  26 in total

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Authors:  Kenichi Masui; Richard N Upton; Anthony G Doufas; Johan F Coetzee; Tomiei Kazama; Eric P Mortier; Michel M R F Struys
Journal:  Anesth Analg       Date:  2009-10-27       Impact factor: 5.108

2.  Population pharmacokinetics of alfentanil: the average dose-plasma concentration relationship and interindividual variability in patients.

Authors:  P O Maitre; S Vozeh; J Heykants; D A Thomson; D R Stanski
Journal:  Anesthesiology       Date:  1987-01       Impact factor: 7.892

Review 3.  Review article: closed-loop systems in anesthesia: is there a potential for closed-loop fluid management and hemodynamic optimization?

Authors:  Joseph Rinehart; Ngai Liu; Brenton Alexander; Maxime Cannesson
Journal:  Anesth Analg       Date:  2011-09-29       Impact factor: 5.108

4.  Population pharmacokinetics of propofol: a multicenter study.

Authors:  J Schüttler; H Ihmsen
Journal:  Anesthesiology       Date:  2000-03       Impact factor: 7.892

5.  Modeling and closed-loop control of hypnosis by means of bispectral index (BIS) with isoflurane.

Authors:  A Gentilini; M Rossoni-Gerosa; C W Frei; R Wymann; M Morari; A M Zbinden; T W Schnider
Journal:  IEEE Trans Biomed Eng       Date:  2001-08       Impact factor: 4.538

6.  A physiologically based, recirculatory model of the kinetics and dynamics of propofol in man.

Authors:  Richard N Upton; Guy Ludbrook
Journal:  Anesthesiology       Date:  2005-08       Impact factor: 7.892

7.  Feasibility of closed-loop titration of propofol and remifentanil guided by the spectral M-Entropy monitor.

Authors:  Ngai Liu; Morgan Le Guen; Fatima Benabbes-Lambert; Thierry Chazot; Bernard Trillat; Daniel I Sessler; Marc Fischler
Journal:  Anesthesiology       Date:  2012-02       Impact factor: 7.892

8.  The pharmacokinetics of propofol in children using three different data analysis approaches.

Authors:  B K Kataria; S A Ved; H F Nicodemus; G R Hoy; D Lea; M Y Dubois; J W Mandema; S L Shafer
Journal:  Anesthesiology       Date:  1994-01       Impact factor: 7.892

9.  The pharmacokinetics of sufentanil in surgical patients.

Authors:  J G Bovill; P S Sebel; C L Blackburn; V Oei-Lim; J J Heykants
Journal:  Anesthesiology       Date:  1984-11       Impact factor: 7.892

10.  Pharmacokinetics, pharmacodynamics and dose-response relationships of atracurium administered i.v.

Authors:  B C Weatherley; S G Williams; E A Neill
Journal:  Br J Anaesth       Date:  1983       Impact factor: 9.166

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  2 in total

1.  Closed-loop systems and automation in the era of patients safety and perioperative medicine.

Authors:  Maxime Cannesson; Joseph Rinehart
Journal:  J Clin Monit Comput       Date:  2014-02       Impact factor: 2.502

2.  A Comparison of Multiscale Permutation Entropy Measures in On-Line Depth of Anesthesia Monitoring.

Authors:  Cui Su; Zhenhu Liang; Xiaoli Li; Duan Li; Yongwang Li; Mauro Ursino
Journal:  PLoS One       Date:  2016-10-10       Impact factor: 3.240

  2 in total

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