DocumentCode :
1246090
Title :
An intelligent adaptive control scheme for postsurgical blood pressure regulation
Author :
Gao, Yang ; Er, Meng Joo
Author_Institution :
Sch. of Electron. & Phys. Sci., Univ. of Surrey, UK
Volume :
16
Issue :
2
fYear :
2005
fDate :
3/1/2005 12:00:00 AM
Firstpage :
475
Lastpage :
483
Abstract :
This paper presents an adaptive modeling and control scheme for drug delivery systems based on a generalized fuzzy neural network (G-FNN). The proposed G-FNN is a novel intelligent modeling tool, which can model unknown nonlinearities of complex drug delivery systems and adapt to changes and uncertainties in these systems online. It offers salient features, such as dynamic fuzzy neural topology, fast online learning ability and adaptability. System approximation formulated by the G-FNN is employed in the adaptive controller design for drug infusion in intensive care environment. In particular, this paper investigates automated regulation of mean arterial pressure (MAP) through intravenous infusion of sodium nitroprusside (SNP), which is one attractive application in automation of drug delivery. Simulation studies demonstrate the capability of the proposed approach in estimating the drug´s effect and regulating blood pressure at a prescribed level.
Keywords :
adaptive control; drug delivery systems; fuzzy neural nets; intelligent control; learning (artificial intelligence); medical control systems; neurocontrollers; complex drug delivery system; drug infusion; dynamic fuzzy neural topology; fast online learning ability; generalized fuzzy neural network; intelligent adaptive control; intelligent modeling tool; intensive care environment; mean arterial pressure; online learning adaptability; postsurgical blood pressure regulation; sodium nitroprusside; Adaptive control; Blood pressure; Drug delivery; Fuzzy control; Fuzzy neural networks; Intelligent control; Network topology; Nonlinear dynamical systems; Programmable control; Uncertainty; Adaptive modeling and control; drug delivery systems; fuzzy logic; neural networks; postsurgical blood pressure regulation; Artificial Intelligence; Blood Pressure; Drug Delivery Systems; Fuzzy Logic; Nitroprusside; Postoperative Period;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2004.841798
Filename :
1402507
Link To Document :
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