Adaptive control of multiplexed closed-circuit anesthesia.
This paper describes the design of an adaptive closed-circuit anesthesia controller based on a multiplexed mass spectrometer system. The controller deals with measurement deterioration caused by measurement delay and rise time through a long catheter as well as long sampling times due to the multiplexed measurements. Measurement data are extrapolated between sampling periods to increase the estimation convergence rate. A multiple-step-ahead predictive control algorithm is used to calculate intermediate control inputs between sampling intervals. Simulations are used to validate the designed controller.
Jee
G I
GI
Department of Biomedical Engineering, Rensselaer Polytechnic University, Troy, NY 12180.
Roy
R J
RJ
D000465:Algorithms; D000764:Anesthesia, Closed-Circuit; D004867:Equipment Design; D006801:Humans; D013058:Mass Spectrometry; D016343:Monitoring, Intraoperative; D011659:Pulmonary Gas Exchange; D012815:Signal Processing, Computer-Assisted