Biosignal and Medical Image Processing
Language: English
Published by CRC Press LLC, 2014
- Hardcover
- Used
Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
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Written specifically for biomedical engineers, Biosignal and Medical Image Processing, Third Edition provides a complete set of signal and image processing tools, including diagnostic decision-making tools, and classification methods. Thoroughly revised and updated, it supplies important new material on nonlinear methods for describing and classifying signals, including entropy-based methods and scaling methods. A full set of PowerPoint slides covering the material in each chapter and problem solutions is available to instructors for download.See What?s New in the Third Edition:Two new chapters on nonlinear methods for describing and classifying signals.Additional examples with biological data such as EEG, ECG, respiration and heart rate variability Nearly double the number of end-of-chapter problems MATLAB® incorporated throughout the textData "cleaning" methods commonly used in such areas as heart rate variability studies The text provides a general understanding of image processing sufficient to allow intelligent application of the concepts, including a description of the underlying mathematical principals when needed. Throughout this textbook, signal and image processing concepts are implemented using the MATLAB® software package and several of its toolboxes. The challenge of covering a broad range of topics at a useful, working depth is motivated by current trends in biomedical engineering education, particularly at the graduate level where a comprehensive education must be attained with a minimum number of courses. This has led to the development of "core" courses to be taken by all students. This text was written for just such a core course. It is also suitable for an upper-level undergraduate course and would also be of value for students in other disciplines that would benefit from a working knowledge of signal and image processing.…
Seller Inventory # CIN1466567368G
- Title
- Biosignal and Medical Image Processing
- Author
- John L Semmlow
- Publisher
- CRC Press LLC
- Publication year
- 2014
- Condition
- Good
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1466567368
- ISBN 13
- 9781466567368
- Edition
- 3rd Edition
Written specifically for biomedical engineers, Biosignal and Medical Image Processing, Third Edition provides a complete set of signal and image processing tools, including diagnostic decision-making tools, and classification methods. Thoroughly revised and updated, it supplies important new material on nonlinear methods for describing and classifying signals, including entropy-based methods and scaling methods. A full set of PowerPoint slides covering the material in each chapter and problem solutions is available to instructors for download.
See What’s New in the Third Edition:
- Two new chapters on nonlinear methods for describing and classifying signals.
- Additional examples with biological data such as EEG, ECG, respiration and heart rate variability
- Nearly double the number of end-of-chapter problems
- MATLAB® incorporated throughout the text
- Data "cleaning" methods commonly used in such areas as heart rate variability studies
The text provides a general understanding of image processing sufficient to allow intelligent application of the concepts, including a description of the underlying mathematical principals when needed. Throughout this textbook, signal and image processing concepts are implemented using the MATLAB® software package and several of its toolboxes.
The challenge of covering a broad range of topics at a useful, working depth is motivated by current trends in biomedical engineering education, particularly at the graduate level where a comprehensive education must be attained with a minimum number of courses. This has led to the development of "core" courses to be taken by all students. This text was written for just such a core course. It is also suitable for an upper-level undergraduate course and would also be of value for students in other disciplines that would benefit from a working knowledge of signal and image processing.
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