British Journal of Anaesthesia, Vol 77, Issue 5 636-641, Copyright © 1996 by The Board of Management and Trustees of the British Journal of Anaesthesia
J. Schaublin, M. Derighetti, P. Feigenwinter, S. Petersen-Felix and A. M. Zbinden
We have examined a new approach, using fuzzy logic, to the closed-loop
feedback control of mechanical ventilation during general anaesthesia. This
control system automatically adjusts ventilatory frequency (f) and tidal
volume (VT) in order to achieve and maintain the end-tidal carbon dioxide
fraction (FE'CO2) at a desired level (set-point). The controller attempts
to minimize the deviation of both f and VT per kg body weight from 10 bpm
and 10 ml kg-1, respectively, and to maintain the plateau airway pressure
within suitable limits. In 30 patients, undergoing various surgical
procedures, the fuzzy control mode was compared with human ventilation
control. For a set-point of FE'CO2 = 4.5 vol% and during measurement
periods of 20 min, accuracy, stability and breathing pattern did not differ
significantly between fuzzy logic and manual ventilation control. After
step-changes in the set-point of FE'CO2 from 4.5 to 5.5 vol% and vice
versa, overshoot and rise time did not differ significantly between the two
control modes. We conclude that to achieve and maintain a desired FE'CO2
during routine anaesthesia, fuzzy logic feedback control of mechanical
ventilation is a reliable and safe mode of control.
CLINICAL INVESTIGATIONS
Fuzzy logic control of mechanical ventilation during anaesthesia
Institute of Anaesthesiology and Intensive Care, Research Section, University Hospital, Inselspital, 3010 Bern, Switzerland; Automatic Control Laboratory, Swiss Federal Institute of Technology, Zurich, Switzerland
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
P. Grant and O. Naesh Fuzzy logic and decision-making in anaesthetics J R Soc Med, January 1, 2005; 98(1): 7 - 9. [Full Text] [PDF] |
||||
![]() |
E. P. Martinoni, Ch. A. Pfister, K. S. Stadler, P. M. Schumacher, D. Leibundgut, T. Bouillon, T. Bohlen, and A. M. Zbinden Model-based control of mechanical ventilation: design and clinical validation Br. J. Anaesth., June 1, 2004; 92(6): 800 - 807. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. H. T. Bates and M. P. Young Applying Fuzzy Logic to Medical Decision Making in the Intensive Care Unit Am. J. Respir. Crit. Care Med., April 1, 2003; 167(7): 948 - 952. [Full Text] [PDF] |
||||
![]() |
J. G. C. Lerou and L. H. D. J. Booij Model-based administration of inhalation anaesthesia. 3. Validating the system model Br. J. Anaesth., January 1, 2002; 88(1): 24 - 37. [Abstract] [Full Text] [PDF] |
||||


