Introduction to Modeling in Physiology and Medicine - 1st Edition - ISBN: 9780121602406, 9780080559988

Introduction to Modeling in Physiology and Medicine

1st Edition

Authors: Claudio Cobelli Ewart Carson
eBook ISBN: 9780080559988
Hardcover ISBN: 9780121602406
Imprint: Academic Press
Published Date: 26th November 2007
Page Count: 328
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Table of Contents

Introduction; 2 Physiological Complexity and the Need for Models; 3 – Models and the Modeling Process; 4 – Modeling the Data; 5 – Modeling the System; 6 – Model Identification; 7 – Parametric Models – The Identifiability Problem; 8 – Parametric Models – The Estimation Problem; 9 – Non-parametric Models - Signal Estimation; 10 - Model Validation; 11 - Case Studies


Description

This unified modeling textbook for students of biomedical engineering provides a complete course text on the foundations, theory and practice of modeling and simulation in physiology and medicine. It is dedicated to the needs of biomedical engineering and clinical students, supported by applied BME applications and examples.

Key Features

  • Developed for biomedical engineering and related courses: speaks to BME students at a level and in a language appropriate to their needs, with an interdisciplinary clinical/engineering approach, quantitative basis, and many applied examples to enhance learning
  • Delivers a quantitative approach to modeling and also covers simulation: the perfect foundation text for studies across BME and medicine
  • Extensive case studies and engineering applications from BME, plus end-of-chapter exercises

Readership

Graduate and senior undergraduate students of biomedical engineering; plus applied mathematics and related clinical students of physiology and medicine


Details

No. of pages:
328
Language:
English
Copyright:
© Academic Press 2008
Published:
Imprint:
Academic Press
eBook ISBN:
9780080559988
Hardcover ISBN:
9780121602406

About the Authors

Claudio Cobelli Author

Claudio Cobelli received a Doctoral degree (Laurea) in Electrical Engineering in 1970 from the University of Padova, Padova, Italy. From 1970 to 1980, he was a Research Fellow of the Institute of System Science and Biomedical Engineering, National Research Council, Padova, Italy. From 1973 to 1975 and 1975 to 1981, he was Associate Professor of Biological Systems at the University of Florence and Associate Professor of Biomedical Engineering at the University of Padova, respectively. In 1981, he becomes Full Professor of Biomedical Engineering at University of Padova. From 2000 to 2009, he has been Chairman of the Graduate Program in Biomedical Engineering. From 2000 to 2011, he has been Chairman of the Ph.D. Program in Bioengineering at the University of Padova. His main research activity is in the field of modeling and identification of physiological systems, especially metabolic systems. His research is currently supported by NIH, JDRF and European Comunity. He has published 450 papers in internationally refereed journals, co-author of 8 books and holds 11 patents. He is currently Associate Editor of IEEE Transaction on Biomedical Engineering and Journal of Diabetes Science & Technology. He is on the Editorial Board of Diabetes and Diabetes Technology &Therapeutics. Dr.Cobelli has been Chairman (1999-2004) of the Italian Biomedical Engineering Group, Chairman (1990-1993 & 1993-1996) of IFAC TC on Modeling and Control of Biomedical Systems and member of the IEEE EMBS AdCom Member (2008-2009). He has been a member of the Gruppo di Esperti della Valutazione (GEV), Area 09, of the Agenzia Nazionale per la Valutazione del Sistema Universitario e della Ricerca (ANVUR) for the period 2011-2013. He is President of the Organo di Indirizzo of the Azienda Ospedaliera Universita' di Trieste In 2010 he received the Diabetes Technology Artificial Pancreas Research Award. He is Fellow of IEEE, BMES and EAMBES.

Affiliations and Expertise

Department of Information Engineering, Universita di Padova, Italy

Ewart Carson Author

Ewart Carson is Emeritus Professor of Systems Science in the School of Mathematics, Computer Science and Engineering at City, University of London. Educated at the University of St Andrews in Scotland and City University London, he holds a PhD in Systems Science and a DSc in Measurement and Information in Medicine. He holds Honorary Membership of the Royal College of Physicians (London) , a Life Fellowship of the IEEE, Fellowships of the International Academy of Medical and Biological Engineering and the American Institute of Medical and Biological Engineers, and is a Foundation Fellow of the European Alliance for Medical and Biological Engineering and Science Publications include 13 authored and edited books and more than 300 journal papers and chapters. Areas of research interest and expertise include: modelling in physiology and medicine; modelling methodology for health resource management; clinical decision support systems; evaluation methodologies with particular application in telemedicine; and integrated policy modelling for ICT enhanced public healthcare. As a systems scientist, all this research is undertaken within a clear systemic framework.

Affiliations and Expertise

Emeritus Professor of Systems Science in the School of Mathematics, Computer Science and Engineering at City, University of London