Lung Mechanics
An Inverse Modeling Approach

A modern quantitative study of lung mechanics, relating mathematical modeling and engineering principles to lung function, structure, mechanics, and disease.

Jason H. T. Bates (Author)

9780521509602, Cambridge University Press

Hardback, published 30 July 2009

236 pages
25.3 x 18 x 1.5 cm, 0.63 kg

'This long-needed textbook identifies and then bridges the gap between the classical views on lung mechanics and the experimental evidence; an enormous help for students and a valuable teaching resource for lecturers and senior researchers.' Zoltán Hantos, University of Szeged, Hungary

With mathematical and computational models furthering our understanding of lung mechanics, function and disease, this book provides an all-inclusive introduction to the topic from a quantitative standpoint. Focusing on inverse modeling, the reader is guided through the theory in a logical progression, from the simplest models up to state-of-the-art models that are both dynamic and nonlinear. Key tools used in biomedical engineering research, such as regression theory, linear and nonlinear systems theory, and the Fourier transform, are explained. Derivations of important physical principles, such as the Poiseuille equation and the wave speed equation, from first principles are also provided. Example applications to experimental data throughout illustrate physiological relevance, whilst problem sets at the end of each chapter provide practice and test reader comprehension. This book is ideal for biomedical engineering and biophysics graduate students and researchers wishing to understand this emerging field.

Preface
Notation
1. Introduction
2. Collecting data
3. The linear single-compartment model
4. Resistance and elastance
5. Nonlinear single-compartment models
6. Flow limitation
7. Linear two-compartment models
8. The general linear model
9. Inverse models of lung impedance
10. Constant phase model of impedance
11. Nonlinear dynamic models
12. Epilogue
References
Index.

Subject Areas: Molecular biology [PSD], Biomedical engineering [MQW], Biomechanics, human kinetics [MFGV]