Literature DB >> 19408139

Adaptive computer control of anesthesia in humans.

Juan Albino Méndez1, Santiago Torres, José Antonio Reboso, Héctor Reboso.   

Abstract

This paper presents an efficient computer control technique for regulation of anesthesia in humans. The anesthetic used is propofol and the objective is to control the degree of hypnosis of the patient. The paper describes the basic hardware/software setup of the system and the closed-loop methodologies. The bispectral index (BIS) is considered as the feedback signal. The control methods proposed here are based in the use of proportional integral controllers with dead-time compensation to avoid undesirable oscillations in the BIS signal during the process. The compensation is based on the Smith predictor. To guarantee the applicability of the method to different patients, an adaptive module to tune the compensator is developed. Some real and simulated results are presented in this work to attest the efficiency of the methods used.

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Year:  2009        PMID: 19408139     DOI: 10.1080/10255840902911528

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  6 in total

1.  A closed-loop anesthetic delivery system for real-time control of burst suppression.

Authors:  Max Y Liberman; Shinung Ching; Jessica Chemali; Emery N Brown
Journal:  J Neural Eng       Date:  2013-06-07       Impact factor: 5.379

2.  Control strategy with multivariable fault tolerance module for automatic intravenous anesthesia.

Authors:  Bhavina Patel; Hirenkumar Patel; Divyang Shah; Alpesh Sarvaia
Journal:  Biomed Eng Lett       Date:  2020-08-16

3.  Real-time closed-loop control in a rodent model of medically induced coma using burst suppression.

Authors:  ShiNung Ching; Max Y Liberman; Jessica J Chemali; M Brandon Westover; Jonathan D Kenny; Ken Solt; Patrick L Purdon; Emery N Brown
Journal:  Anesthesiology       Date:  2013-10       Impact factor: 7.892

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

Authors:  Maryam Boroujerdi Alavi; Mohammad Tabatabaei
Journal:  IET Syst Biol       Date:  2019-02       Impact factor: 1.615

5.  Effects of Neuromuscular Blockages on Entropy Monitoring During Sevoflurane Anesthesia.

Authors:  Yian Xing; Dian Xu; Yanyifang Xu; Lianhua Chen; Hong Wang; Shitong Li
Journal:  Med Sci Monit       Date:  2019-11-15

6.  The future of anaesthesiology.

Authors:  Ankit Agarwal
Journal:  Indian J Anaesth       Date:  2012-11
  6 in total

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