Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling

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Springer Science & Business Media, 2000 - Mathematics - 337 pages
3 Reviews
This book fills a critical gap in biomedical data analysis in making the connection between signal processing and physiological modeling. Based on the premise that the use of signal processing techniques is predicated on explicit or implicit models, this book provides a foundation in systems analysis and signal processing techniques for physiological data. The book comprises two main parts: namely, signal processing techniques for linear systems, and physiological modeling. Beginning with a broad introduction to signals and systems, the book proceeds to contemporary techniques in digital signal processing. While maintaining continuity of mathematical concepts, the emphasis is on practical implementation and applications. The signal processing topics covered include Fourier transform, the wavelet transform, and optimal filtering techniques. The book presumes only knowledge of college mathematics and is suitable for a beginner in the subject; however, a student with a previous course in analog and digital signal processing will find that only a third of the book contains a bare treatment of classical signal processing. The extensive use of diagrams illustrates the graphical nature of modern signal processing, and provides easy descriptions of practical techniques and their shortcomings. Each chapter has a number of illustrative examples and exercises. The accompanying software provides exercises in convolution, sampling, Fourier analysis and wavelet decomposition that illustrate the use of these techniques as well as their shortcomings. The latter part of the book discusses techniques of physiological modeling, contrasting biophysical models with black-box models, and experimental procedures used in such modeling. Model-based data analysis including noise reduction and feature extraction in physiology are discussed in detail. Several numerical simulation exercises are also outlined for the student.
 

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A really awesome book on signals and systems for bio medical engineers.

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gudd n simple xplntion

Contents

Introduction to Systems Analysis and Numerical Methods
1
EXERCISES
9
Modeling Skeletal Muscle Contraction
11
Fourier Analysis for Continuous Time Processes
31
Discrete Time Signals and Systems
67
Fourier Analysis for DiscreteTime Processes
101
TimeFrequency and Wavelet Analysis
139
Estimation of Signals in Noise
165
Model Based Analysis of Physiological Signals
197
Modeling the Nerve Action Potential
209
Modeling Myoelectric Activity
267
System Identification in Physiology
295
Modeling the Cardiovascular System
309
A Model of the Immune Response to Disease
321
APPENDIX
329
Index
335

Feedback Systems
181

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Page 331 - SS Soliman and MD Srinath, Continuous and Discrete Signals and Systems. Prentice Hall.

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