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

Model-based control of mechanical ventilation: design and clinical validation.

E P Martinoni1, Ch A Pfister, K S Stadler

  • 1Department of Anaesthesiology, Section of Research, University of Berne, Inselspital, CH-3010 Berne, Switzerland.

British Journal of Anaesthesia
|April 21, 2004
PubMed
Summary

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

Commissioning of pencil beam and Monte Carlo dose engines for non-isocentric treatments in scanned proton beam therapy.

Physics in medicine and biology·2019
Same author

Fexofenadine, a Putative In Vivo P-glycoprotein Probe, Fails to Predict Clearance of the Substrate Tacrolimus in Renal Recipients.

Clinical pharmacology and therapeutics·2017
Same author

Pharmacokinetic parameter sets of alfentanil revisited: optimal parameters for use in target controlled infusion and anaesthesia display systems.

British journal of anaesthesia·2013
Same author

Ilioinguinal and iliohypogastric nerves cannot be selectively blocked by using ultrasound guidance: a volunteer study.

British journal of anaesthesia·2013
Same author

Evaluation of a novel needle guide for ultrasound-guided phantom vessel cannulation.

Anaesthesia·2011
Same author

Population pharmacokinetics of sevoflurane in conjunction with the AnaConDa: toward target-controlled infusion of volatiles into the breathing system.

Acta anaesthesiologica Scandinavica·2008

A new model-based controller using end-tidal carbon dioxide (FE’(CO2)) effectively manages ventilators during anesthesia. This system demonstrates faster responses and reliable performance compared to previous fuzzy-logic controllers.

Area of Science:

  • Anesthesiology
  • Biomedical Engineering
  • Control Systems

Background:

  • Development of a model-based control system for ventilator adjustment during clinical anesthesia.
  • Utilizes end-tidal carbon dioxide fraction (FE’(CO2)) as the primary control parameter.

Purpose of the Study:

  • To evaluate the precision and dynamic behavior of a novel model-based FE’(CO2) controller.
  • To compare its performance against a previously implemented fuzzy-logic controller.
  • To assess the controller's response to various clinical events and artifacts.

Main Methods:

  • Study involved 16 ASA I-II patients undergoing i.v. anesthesia for elective surgery.
  • Ventilator settings were adjusted based on FE’(CO2) using the model-based controller.
  • Patients underwent periods of hyper- and hypoventilation; responses to clinical events were recorded and compared to fuzzy-logic control data.

Related Experiment Videos

Main Results:

  • The model-based controller maintained the setpoint accurately.
  • Static performance was comparable to the fuzzy-logic controller.
  • The model-based controller exhibited a significantly more rapid dynamic response (P<0.05) to setpoint changes.
  • Consistent and appropriate responses to clinical artifacts were observed.

Conclusions:

  • A model-based FE’(CO2) controller is suitable for clinical application in anesthesia.
  • It offers improved dynamic response compared to fuzzy-logic controllers.
  • The controller reliably handles clinical artifacts, enhancing patient safety.