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Author Rangayyan, Rangaraj M.

Title Biomedical signal analysis : a case-study approach / Rangaraj M. Rangayyan
Published [Piscataway, NJ] : IEEE Press ; New York, N.Y. : Wiley-Interscience, [2002]


Description 1 online resource (xxxv, 516 pages) : illustrations
Series IEEE Press series in biomedical engineering
IEEE Press series in biomedical engineering.
Contents Front Matter -- Introduction to Biomedical Signals -- Concurrent, Coupled, and Correlated Processes -- Filtering for Removal of Artifacts -- Event Detection -- Analysis of Waveshape and Waveform Complexity -- Frequency-domain Characterization of Signals and Systems -- Modeling Biomedical Signal₆generating Processes and Systems -- Analysis of Nonstationary Signals -- Pattern Classification and Diagnostic Decision -- References -- Index
Summary 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 An Instructor Support FTP site is available from the Wiley editorial department:
Bibliography Includes bibliographical references (pages 489-508) and index
Notes Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL
Print version record
digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
Subject Signal processing.
Biomedical engineering.
Medical personnel.
Diagnostic Techniques and Procedures
Computing Methodologies
Health Occupations
Disciplines and Occupations
Technology, Industry, and Agriculture
Information Science
Signal Processing, Computer-Assisted
Biomedical Engineering
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Technology, Industry, Agriculture
Biomedical Technology
Health Workforce
Health Personnel
biomedical engineering.
Biomedical engineering.
Signal processing.
Biomedische techniek.
Beeldverwerkende diagnostiek.
Health & Biological Sciences.
Biomedical Engineering.
Form Electronic book
LC no. 2002284295
ISBN 9781601195708