Biomedical Signal Analysis: A Case-Study Approach
کتاب مهندسی پزشکی -تجزیه و تحلیل سیگنال های پزشکی
Author(s): Rangaraj M. Rangayyan
2002-2009
Print ISBN: 9780471208112
Online ISBN: 9780470544204
DOI: 10.1109/9780470544204
--------------------------------------------------------------------------------------
The development of techniques to analyze biomedical signals, such as electro-cardiograms, has dramatically affected countless lives by making possible improved noninvasive diagnosis, online monitoring of critically ill patients, and rehabilitation and sensory aids for the handicapped. Rangaraj Rangayyan supplies a practical, hands-on field guide to this constantly evolving technology in Biomedical Signal Analysis, focusing on the diagnostic challenges that medical professionals continue to face. Dr. Rangayyan applies a problem-solving approach to his study. Each chapter begins with the statement of a different biomedical signal problem, followed by a selection of real-life case studies and the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple "textbook" methods, followed by more sophisticated research approaches. The chapter concludes with one or more application solutions; illustrations of real-life biomedical signals and their derivatives are included throughout.
Among the topics addressed are:
Concurrent, coupled, and correlated processes
Filtering for removal of artifacts
Event detection and characterization
Frequency-domain characterization
Modeling biomedical systems
Analysis of nonstationary signals
Pattern classification and diagnostic decision
The chapters also present a number of laboratory exercises, study questions, and problems to facilitate preparation for class examinations and practical applications. Biomedical Signal Analysis provides a definitive resource for upper-level under-graduate and graduate engineering students, as well as for practicing engineers, computer scientists, information technologists, medical physicists, and data processing specialists.
An authoritative assessment of the problems and applications of biomedical signals, rooted in practical case studies
Table of contents
Chapter 1
Introduction to Biomedical Signals (pages 1–59)
Chapter 2
Concurrent, Coupled, and Correlated Processes (pages 61–71)
Chapter 3
Filtering for Removal of Artifacts (pages 73–176)
Chapter 4
Event Detection (pages 177–235)
Chapter 5
Analysis of Waveshape and Waveform Complexity (pages 237–275)
Chapter 6
Frequency-domain Characterization of Signals and Systems (pages 277–313)
Chapter 7
Modeling Biomedical Signal–generating Processes and Systems (pages 315–390)
Chapter 8
Analysis of Nonstationary Signals (pages 391–444)
Chapter 9
Pattern Classification and Diagnostic Decision (pages 445–487)
References (pages 489–508)
Index (pages 509–516)