Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Adaptive control of closed-circuit anesthesia.

R Vishnoi1, R J Roy

  • 1Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180.

IEEE Transactions on Bio-Medical Engineering
|January 1, 1991
PubMed
Summary

Computer-controlled closed-circuit anesthesia (CCA) offers economic and environmental benefits. An adaptive control system precisely manages anesthetic gas and oxygen levels, improving patient safety and reducing response times compared to fixed controllers.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Natural Occurrence of Cucumber mosaic virus on Rauvolfia serpentina, A New Record.

Plant disease·2019
Same author

EEG complexity as a measure of depth of anesthesia for patients.

IEEE transactions on bio-medical engineering·2002
Same author

Discrimination of anesthetic states using mid-latency auditory evoked potential and artificial neural networks.

Annals of biomedical engineering·2001
Same author

Derived fuzzy knowledge model for estimating the depth of anesthesia.

IEEE transactions on bio-medical engineering·2001
Same author

Hemodynamic management of congestive heart failure by means of a multiple mode rule-based control system using fuzzy logic.

IEEE transactions on bio-medical engineering·2000
Same author

Simultaneous regulation of hemodynamic and anesthetic states: a simulation study.

Annals of biomedical engineering·2000

Area of Science:

  • Anesthesiology
  • Control Engineering
  • Biomedical Engineering

Background:

  • Closed-circuit anesthesia (CCA) is more cost-effective and environmentally friendly than open-circuit systems.
  • Controlling gas concentrations in CCA presents challenges, limiting its widespread adoption.
  • Previous computer control efforts for CCA were limited in scope or patient applicability.

Purpose of the Study:

  • To develop and evaluate a comprehensive computer control system for closed-circuit anesthesia.
  • To manage end-tidal oxygen, anesthetic gas concentrations, and circuit volume in CCA.
  • To create an adaptive control system that accounts for patient-specific gas uptakes.

Main Methods:

  • Modeled the CCA process using mass balance equations, resulting in bilinear models for gas concentration and circuit volume.

Related Experiment Videos

  • Implemented one-step-ahead controllers for anesthetic gas and a multiple-input-multiple-output system for volume and oxygen.
  • Developed adaptive control using least-mean-squares estimation for oxygen, nitrous oxide, and anesthetic gas uptakes.

    • Main Results:

    • Simulations indicated control performance is sensitive to gas uptakes.
    • Adaptive controller demonstrated superior performance over a fixed controller in five animal experiments.
    • Adaptive control significantly reduced anesthetic gas response time (3.6 min vs. 7.04 min).

    Conclusions:

    • The developed adaptive computer control system is effective for closed-circuit anesthesia.
    • The system is robust to variations in patient parameters like functional residual capacity, leaks, and deadspace.
    • This comprehensive system enhances the precision and safety of closed-circuit anesthesia.