This revised and expanded edition features many interactive extras, and covers everything from the fundamental concepts to the numerical problem-solving in digital signal processing for the biomedical sector. Graphs and analogies enhance its accessibility.

Physiology is a set of processes that maintain homeostasis, and physiological measurement is a means of observing these processes. Systems theory and signal processing offer formal tools for the study of processes and measured quantities.

This book shows that systems modeling can be used to develop simulations of physiological systems, which use formal relations between the underlying processes and the observed measurements. The inverse of such relations suggest signal processing tools that can be applied to interpret experimental data. Both signal processing and systems modeling are invaluable in the study of human physiology. Discussing signal processing techniques ranging from filtering and spectrum analysis to wavelet analysis, the book uses graphs and analogies to supplement the mathematics and make the book more accessible to physiologists and more interesting to engineers.

Physiological systems modeling helps in both gaining insight and generating methods of analysis. This book shows how numerical computation with graphical display, haptics and multimedia can be used to simulate physiological systems. In this third edition the simulations are more closely related to clinical examination and experimental physiology than in previous editions.

Detailed models of nerve and muscle at the cellular and systemic levels, and simplified models of cardiovascular blood flow provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease. The book features expanded problem sets and a link to extra downloadable material containing simulation programs that are solutions to the theory developed in the text.

This is the third edition of the book, Signals and Systems in Biomedical Engineering. The first half of the book is an introduction to signal processing and systems analysis and the second half has mathematical models of selected physiological systems This edition introduces additional techniques for modelling and expands the scope of the book. At the end of each section a summary box is provided for those who want to skip the mathematical discussion and get an overview of the content This edition of the book contains 40% updated content Includes supplementary material: sn.pub/extras Request lecturer material: sn.pub/lecturer-material

Autorentext
Suresh Devasahayam has taught students of science, technology, engineering, and medicine for more than 25 years, first at the Indian Institute of Technology, Bombay, for about 12 years and then at the Christian Medical College, Vellore.

In teaching such a variety of students, it has been important to span a wide range of language skills from formal mathematical language for students of the physical sciences to natural language for students of the biological sciences. These two extremes of communication in science also represent the difference between theoretical argument from first principles and empirical knowledge; therefore, his research and teaching has included both theoretical analysis and physiological experiments. He has greatly enjoyed the extension of language by the use of dynamic graphs and animations through computer simulations.

His formal training includes a Baccalaureate in Electronics and Communications Engineering from the College of Engineering, Guindy, followed by Master's and Doctoral degrees in Bioengineering from the University of Illinois at Chicago. His research is in the areas of physiological measurement, medical instrumentation, signal processing, systems modeling, and neurorehabilitation.

Inhalt

Part I Signal Processing for Physiology.- Introduction to Measurement and Analysis in Physiology.- Basic Concepts in Systems Theory and Signal Processing.- Signal Filtering and System Control for Physiology.- Digitization and Discrete Systems - Sampling and Quantization.- Discrete Signal Processing for Physiological Signals.- Graphics and Haptics for Simulation Models.- Model Based Analysis of Physiological Systems.- Part II Models of Physiological Systems.- Nerve Communication I - Wave Propagation and Action Potentials.- Neural Communication II - Firing Rate and Information Encoding.- External Stimulation of Nerves in Tissue - From Theory to Practice.- Skeletal Muscle Contraction - Force and Movement.- The Electromyogram - Modeling and Analysis.- Neuromuscular Control - Spinal Reflex and Movement.- Cardiovascular Blood Flow Modeling.- Immune Response to Infection.