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Anesthesia infusion models: knowledge-based real-time identification via stochastic approximation

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3 Author(s)
Le Yi Wang ; Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA ; Hong Wang ; Yin, G.G.

The modeling and identification methodology introduced in the paper captures the unique features encountered in developing a computer-aided control strategy for anesthesia drug infusion. Rather than using models of high complexity, we follow the insights of anesthesiologists in representing the basic features of a patient response to drug infusion that are essential for computer-aided infusion control. The model parameters are initiated by expert knowledge and improved upon in real-time when clinical measurement data become available.

Published in:

Decision and Control, 2002, Proceedings of the 41st IEEE Conference on  (Volume:3 )

Date of Conference:

10-13 Dec. 2002