System Theory and Practical Applications of Biomedical Signals

A volume in the IEEE Press Series in Biomedical Engineering
Metkin Akay, Series Editor
Endorsed by the IEEE Engineering in Medicine and Biology Society
A valuable synthesis of system theory and real–world applications for biomedical instrumentation
System theory is becoming increasingly important to medical applications. Yet, biomedical and digital signal processing researchers rarely have expertise in practical medical applications, and medical instrumentation designers usually are unfamiliar with system theory. System Theory and Practical Applications for Biomedical Signals bridges those gaps in a practical manner, showing how various aspects of system theory are put into practice by industry.
Written from the perspective of an industry insider who actually made useful products based on the theory, this pragmatic guide combines traditional DSP and compartmental modeling, as well as pairing in–depth discussions of practical medical instrumentation applications and system theory.
Biomedical and DSP academic researchers pursuing grants and industry funding will find its real–world approach extremely valuable. Its in–depth discussion of the theoretical issues will clarify for medical instrumentation managers how system theory can compensate for less–than–ideal sensors. With application MATLAB® exercises and suggestions for system theory course work included, the text also fills the need for detailed information for students or practicing engineers interested in instrument design.

Spis treści:
Preface.
Nomenclature.
I FILTERS.
1 System Theory and Frequency–Selective Filters.
2 Low Flow Rate Occlusion Detection Using Resistance Monitoring.
3 Adaptive Filters.
4 Improved Pulse Oximetry.
5 Time–Frequency and Time–Scale Analysis.
6 Improved Impedance Cardiography.
II MODELS FOR REAL TIME PROCESSING.
7 Linear System Identification.
8 Exter nal Defibrillation Waveform Optimization.
9 Nonlinear System Identification.
10 Improved Screening for Cervical Cancer.
11 Fuzzy Models.
12 Continuous Noninvasive Blood Pressure Monitoring: Proof of Concept.
III COMPARTMENTAL MODELS.
13 The Linear Compartmental Model.
14 Pharmacologic Stress Testing Using Closed–Loop Drug Delivery.
15 The Nonlinear Compartmental Model.
16 The Role of Nonlinear Compartmental Models in Development of Antiobesity Drugs.
IV SYSTEM THEORY IMPLEMENTATION.
17 Algorithm Implementation.
18 The Need for More System Theory in Low–Cost Medical Applications.
Glossary.
Index.

Nota biograficzna:
GAIL D. BAURA received a BSEE from Loyola Marymount University in 1984 and an MSEE and MSBME from Drexel University in 1987. She received a PhD in Bioengineering from the University of Washington in 1993. Between these degrees, Dr. Baura worked as a loop transmission systems engineer at AT&T Bell Laboratories. Since graduation, she has served in a variety of research positions at IVAC Corporation, Cardiotronics Systems, Alaris Medical Systems, and VitalWave Corporation. Dr. Baura is currently Vice President of Research at CardioDynamics. Her research interests are the application of system theory to patient monitoring and insulin metabolism.

Okładka tylna:
A volume in the IEEE Press Series in Biomedical Engineering
Metkin Akay, Series Editor
Endorsed by the IEEE Engineering in Medicine and Biology Society
A valuable synthesis of system theory and real–world applications for biomedical instrumentation
System theory is becoming increasingly important to medical applications. Yet, biomedical and digital signal processing researchers rarely have expertise in practical medical applications, and medical instrumentation designers usually are unfamiliar with system theory. System Theory and Practical Applications for Biomedical Signals bridges those gaps in a practical manner, showing how various aspects of system theory are put into practice by industry.
Written from the perspective of an industry insider who actually made useful products based on the theory, this pragmatic guide combines traditional DSP and compartmental modeling, as well as pairing in–depth discussions of practical medical instrumentation applications and system theory.
Biomedical and DSP academic researchers pursuing grants and industry funding will find its real–world approach extremely valuable. Its in–depth discussion of the theoretical issues will clarify for medical instrumentation managers how system theory can compensate for less–than–ideal sensors. With application MATLAB® exercises and suggestions for system theory course work included, the text also fills the need for detailed information for students or practicing engineers interested in instrument design.