- Hardcover: 536 pages
- Publisher: Wiley-Blackwell (16 Jan 2001)
- Language English
- ISBN-10: 0471345407
- ISBN-13: 978-0471345404
- Product Dimensions: 16.3 x 3 x 24.4 cm
- Amazon Bestsellers Rank: 2,102,215 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Review
"This book provides a framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation." (SciTech Book News Vol. 25, No. 2 June 2001)
Product Description
A biomedical engineering perspective on the theory, methods, and applications of signal processing This book provides a unique framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation. Using a modeling–based approach, the author shows how to perform signal processing by developing and manipulating a model of the signal source, providing a logical, coherent basis for recognizing signal types and for tackling the special challenges posed by biomedical signals–including the effects of noise on the signal, changes in basic properties, or the fact that these signals contain large stochastic components and may even be fractal or chaotic. Each chapter begins with a detailed biomedical example, illustrating the methods under discussion and highlighting the interconnection between the theoretical concepts and applications. The author has enlisted experts from numerous subspecialties in biomedical engineering to help develop these examples and has made most examples available as Matlab or Simulink files via anonymous ftp. Without the need for a background in electrical engineering, readers will become acquainted with proven techniques for analyzing biomedical signals and learn how to choose the appropriate method for a given application.
An Instructor′s Manual presenting detailed solutions to all the problems in the book is available from the author.
Inside This Book
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First Sentence
It may seem obvious that signal processing concepts should be part of the core training in biomedical engineering because students in such an applied field must learn to "deal with" signals and systems. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
It may seem obvious that signal processing concepts should be part of the core training in biomedical engineering because students in such an applied field must learn to "deal with" signals and systems. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4.7 out of 5 stars (3 customer reviews)
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Review of Biomedical Signal Prcoessing and Signal Modeling, 1 Oct 2009
By Wulfgang - Published on Amazon.com
This review is from: Biomedical Signal Processing and Signal Modeling (Hardcover)
Good book for looking at the mathematics behind biomedical signal processing. If your going to use Matlab in conjunction with your study of this book, I used "Biosignal and Biomedical Image Processing: Matlab-Based Applications," by John L. Semmlow.
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Good reference book for signal processing, 20 Jun 2009
By Justin - Published on Amazon.com
This review is from: Biomedical Signal Processing and Signal Modeling (Hardcover)
Good book for reference on biomedical signal processing and more generally signal processing. Small and concise, excellent book for that purpose.
2 of 17 people found the following review helpful:
4.0 out of 5 stars
biosignal, 5 July 2001
By A Customer - Published on Amazon.com
This review is from: Biomedical Signal Processing and Signal Modeling (Hardcover)
This book provides tools of prime importance for engineers and researchers involved with biomedical engineering. One outstanding aspect of the book is the the way the the fundamentals of signal processing are presented. Special aspects such as chaotic behaviour of the signals are also presented.
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