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

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 simula...

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Publicado en:Journal of Clinical Monitoring & Computing Vol. 28; no. 1; pp. 13 - 27
Autores principales: Fang, Mengqi, Tao, Yuan, Wang, Youqing
Formato: research Journal Article
Publicado: Springer Nature Feb2014
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2014
      vid: 28
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      pub: Springer Nature
      place: New York, New York
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          Fang, Mengqi
          Tao, Yuan
          Wang, Youqing
        affil: College of Information Science and Technology, Beijing University of Chemical Technology, Mail Box 4, 15# Beisanhuan East Road, Beijing, 100029, China.
      sug:
        subj:
          Anesthesia, Inhalation Methods
          Computer Simulation
          Algorithms
          Atracurium
          Body Weight
          Computer Graphics
          Female
          Isoflurane
          Male
          Technology
          Pharmacy and Pharmacology
          Piperidines
          Propofol
          Software
          User-Computer Interface
          Female
          Male
      ab: 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 .
      pubtype: Academic Journal
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        Journal Article
      ougenre: Article
    language: English
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