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Detection and Estimation Methods for Biomedical Signals [Hardcover]

Metin Akay (Author)


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Book Description

April 30, 1996 0120471434 978-0120471430
Detection and Estimation Methods for Biomedical Signals discusses the most powerful signal detection and estimation methods in use, and includes appendices of related computer programs to aid the reader in applying the methods to their particular problem.
This book includes numerous practical examples of detection and estimation of biological signals, such as the detection of Multiple Sclerosis, using the orthogonal expansion method, and the early detection of coronary artery disease and occlusions before and after angioplasty by the Eigenvector methods. There is also ample coverage of four different wavelet transforms, useful in biomedical signal processing, as well as coverage of biomedical applications of neural networks and chaos theory. This book includes a disk of ANSII C source code for ten useful computer programs.

Key Features
* Time–frequency methods: design, implementation, simulation, biomedical applications, computer programs on disk
* Wavelets: design, implementation, simulation, biomedical applications, computer programs on disk
* High resolution methods: design, implementation, simulation, biomedical applications, computer programs on disk
* Singular value composition, principle component analysis, Karhunen-Loeve transforms: design, implementation, and biomedical applications
* Bayes Rules and Neyman-Pearson Methods: design, implementation, biomedical applications

Editorial Reviews

Review

"Theoretical considerations are expertly outlined in the intial sections of each chapter, followed by an explicit summary listing of the computational steps employed in the algorithms...this is an excellent review of current signal detection and estimation used in biomedical applications."
--IEEE ENGINEERING IN MEDICINE AND BIOLOGY

From the Back Cover

Detection and Estimation Methods for Biomedical Signals discusses the most powerful signal detection and estimation methods in use and includes a disk of data sets and ANSII C source code for five useful computer programs. In addition, appendices of related computer programs are provided to help readers in applying the methods to their particular problems.

This book includes numerous practical examples such as the detection of multiple sclerosis using the orthogonal expansion method, and the early detection of coronary artery disease and occlusions before and after angioplasty by the Eigenvector methods. Coverage includes four different wavelet transforms useful in biomedical signal processing, as well as biomedical applications of neural networks and chaos theory.

Product Details

  • Hardcover: 268 pages
  • Publisher: Academic Press (April 30, 1996)
  • Language: English
  • ISBN-10: 0120471434
  • ISBN-13: 978-0120471430
  • Product Dimensions: 9.2 x 6.2 x 0.8 inches
  • Shipping Weight: 1.2 pounds
  • Amazon Best Sellers Rank: #4,760,502 in Books (See Top 100 in Books)

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