Overview

This book fills a critical gap in biomedical data analysis in making the connection between signal processing and physiological modelling. 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 modelling. 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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9780306463914

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Reviews

The book....fills a void in available textbooks. It is ideally suited for a college senior or first year graduate course in bioengineering, physiology or biophysics. I recommend it.' James C. Lin, Professor of Bioengineering, University of Illinois at Chicago The new book....is a delight to read. It is well organized, packed with useful analytical tools, and replete with relevant biomedical examples. Devasahayam is an articulate author who has taken pains to ensure that the material will be accessible to those with engineering as well as biological backgrounds. The book is highly recommended.' Gerald H. Pollack, Professor of Bioengineering, University of Washington This book by Suresh R. Devasahayam is a wonderful introduction to signal processing and system modeling for students who are either pursuing or wished they had pursued a degree in biomedical engineering. The basic concepts of signal processing and system modeling are clearly explained and are elucidated with a number of exercises and applications.' Carlo De Luca, Director Neuromuscular Research Center, Boston University

'The book...fills a void in available textbooks. It is ideally suited for a college senior or first year graduate course in bioengineering, physiology or biophysics. I recommend it.' James C. Lin, Professor of Bioengineering, University of Illinois at Chicago 'The new book...is a delight to read. It is well organized, packed with useful analytical tools, and replete with relevant biomedical examples. Devasahayam is an articulate author who has taken pains to ensure that the material will be accessible to those with engineering as well as biological backgrounds. The book is highly recommended.' Gerald H. Pollack, Professor of Bioengineering, University of Washington 'This book by Suresh R. Devasahayam is a wonderful introduction to signal processing and system modeling for students who are either pursuing or wished they had pursued a degree in biomedical engineering. The basic concepts of signal processing and system modeling are clearly explained and are elucidated with a number of exercises and applications.' Carlo De Luca, Director Neuromuscular Research Center, Boston University

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