Intelligent Systems Modeling and Decision Support in Bioengineering

by Mahdi Mahfouf

Overview

Intelligent systems try to achieve, through the use of computers, what we associate with intelligence - flexible, learning and adaptive activity like we find in the human brain. For the first time, this groundbreaking resource provides a detailed understanding of the analysis, design, and application of new intelligent systems in the biomedical industry. The book covers the three major areas of application in biomedicine, including the modeling and control in human anaesthesia, decision support for critically ill patients in intensive care units, and modeling of humans who are subjected to physiological stress. The culmination of more than 18 years of research, this cutting-edge reference offers practical modeling and control guidance by presenting a combination of simulations, real-time experiments, and actual patient data.

Product Details

ISBN-13:	9781580539982
Publisher:	Artech House, Incorporated
Publication date:	08/28/2006
Series:	Artech House Engineering in Medicine and Biology Ser.
Edition description:	New Edition
Pages:	342
Product dimensions:	7.20(w) x 10.20(h) x 1.00(d)

About the Author

Mahdi Mahfouf is a professor of intelligent systems engineering in the Department of Automatic Control and Systems Engineering at The University of Sheffield. He earned both his M.Phil. and Ph.D. in control systems from that same university.

Table of Contents

A Survey on Utilization of Intelligent-Based Techniques in Medicine. Part 1: Aneasthesia Therapy - Multivariable Feedback Control of Muscle Relaxation and Unconsciousness Using Model-Based Predictive Control. A New Generic Approach to Model Reduction for Complex Physiologically-Based Drug Models. A Hybrid Systems Approach to Modeling and Control of Unconsciousness Via Blood Pressure Measurements. Advanced Signal Processing and Control in Anaesthesia. Part 2: Patient/Ventilator Modeling in Intensive Care Units (ICU) - Intelligent Modeling of Patient-Ventilator Interactions in General ICU. An Intelligent Advisory System for Intensive Care Ventilators. Part 3: Modeling Subjects Under Physical Stress - A Generic Grey-Box Model for the Cardio-Vascular System of Subjects Experiencing Physical Stress. Model Extension Including Thermoregulation and Brain Activity via EEG and Feedback Control. Conclusions.