Biosignal and Medical Image Processing, 3/e (Hardcover)
John L. Semmlow, Benjamin Griffel
- 出版商: CRC
- 出版日期: 2014-02-25
- 售價: $6,080
- 貴賓價: 9.5 折 $5,776
- 語言: 英文
- 頁數: 630
- 裝訂: Hardcover
- ISBN: 1466567368
- ISBN-13: 9781466567368
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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 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.