Nonlinear Dynamics in Physiology and Medicine (Hardcover, 2003 ed.)

This book deals with the application of mathematics in modeling and understanding physiological systems, especially those involving rhythms. It is divided roughly into two sections. In the first part of the book, the authors introduce ideas and techniques from nonlinear dynamics that are relevant to the analysis of biological rhythms. The second part consists of five in-depth case studies in which the authors use the theoretical tools developed earlier to investigate a number of physiological processes: the dynamics of excitable nerve and cardiac tissue, resetting and entrainment of biological oscillators, the effects of noise and time delay on the pupil light reflex, pathologies associated with blood cell replication, and Parkinsonian tremor. One novel feature of the book is the inclusion of classroom-tested computer exercises throughout, designed to form a bridge between the mathematical theory and physiological experiments. This book will be of interest to students and researchers in the natural and physical sciences wanting to learn about the complexities and subtleties of physiological systems from a mathematical perspective. The authors are members of the Centre for Nonlinear Dynamics in Physiology and Medicine. The material in this book was developed for use in courses and was presented in three Summer Schools run by the authors in Montreal.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Interdisciplinary Applied Mathematics, 25
Release date:	September 2003
First published:	2003
Editors:	Anne Beuter • Leon Glass • Michael C. Mackey • Michele S. Titcombe
Dimensions:	234 x 156 x 36mm (L x W x T)
Format:	Hardcover
Pages:	436
Edition:	2003 ed.
ISBN-13:	978-0-387-00449-5
Categories:	Books > Medicine > General issues > General Books > Science & Mathematics > Biology, life sciences > General Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science
LSN:	0-387-00449-1
Barcode:	9780387004495

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