Literature DB >> 18334379

A model-predictive hypnosis control system under total intravenous anesthesia.

Yoshihito Sawaguchi1, Eiko Furutani, Gotaro Shirakami, Mithuiko Araki, Kazhuiko Fukuda.   

Abstract

In ambulatory surgery, anesthetic drugs must be administered at a suitable rate to prevent adverse reactions after discharge from the hospital. To realize more appropriate anesthesia, we have developed a hypnosis control system, which administers propofol as an anesthetic drug to regulate the bispectral index (BIS), an electroencephalography (EEG)-derived index reflecting the hypnosis of a patient. This system consists of three functions: 1) a feedback controller using a model-predictive control method, which can adequately accommodate the effects of time delays; 2) a parameter estimation function of individual differences; and 3) a risk control function for preventing undesirable states such as drug overinfusion or intraoperative arousal. With the approval of the ethics committee of our institute, 79 clinical trials took place since July 2002. The results show that our system can reduce the total amount of propofol infusion and maintain the BIS more accurately than anesthesiologist's manual adjustment.

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Year:  2008        PMID: 18334379     DOI: 10.1109/TBME.2008.915670

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

1.  Optimizing Robust PID Control of Propofol Anesthesia for Children: Design and Clinical Evaluation.

Authors:  Klaske van Heusden; Kristian Soltesz; Erin Cooke; Sonia Brodie; Nicholas West; Matthias Gorges; J Mark Ansermino; Guy A Dumont
Journal:  IEEE Trans Biomed Eng       Date:  2019-02-08       Impact factor: 4.538

Review 2.  Predictive modeling for improved anemia management in dialysis patients.

Authors:  Michael E Brier; Adam E Gaweda
Journal:  Curr Opin Nephrol Hypertens       Date:  2011-11       Impact factor: 2.894

Review 3.  Automation of anaesthesia: a review on multivariable control.

Authors:  Jing Jing Chang; S Syafiie; Raja Kamil; Thiam Aun Lim
Journal:  J Clin Monit Comput       Date:  2014-06-25       Impact factor: 2.502

4.  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

5.  Feedback control for clinicians.

Authors:  Guy A Dumont
Journal:  J Clin Monit Comput       Date:  2013-04-12       Impact factor: 2.502

6.  Adaptive fuzzy modeling of the hypnotic process in anesthesia.

Authors:  A Marrero; J A Méndez; J A Reboso; I Martín; J L Calvo
Journal:  J Clin Monit Comput       Date:  2016-04-12       Impact factor: 2.502

7.  A brain-machine interface for control of medically-induced coma.

Authors:  Maryam M Shanechi; Jessica J Chemali; Max Liberman; Ken Solt; Emery N Brown
Journal:  PLoS Comput Biol       Date:  2013-10-31       Impact factor: 4.475

Review 8.  A Review of Modern Control Strategies for Clinical Evaluation of Propofol Anesthesia Administration Employing Hypnosis Level Regulation.

Authors:  Muhammad Ilyas; Muhammad Fasih Uddin Butt; Muhammad Bilal; Khalid Mahmood; Ali Khaqan; Raja Ali Riaz
Journal:  Biomed Res Int       Date:  2017-03-30       Impact factor: 3.411

  8 in total

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