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Biomedical signal analysis : a case-study approach / Rangaraj M. Rangayyan.

By: Rangayyan, Rangaraj M [author.].
Contributor(s): John Wiley & Sons [publisher.] | IEEE Xplore (Online service) [distributor.].
Material type: materialTypeLabelBookSeries: IEEE Press series in biomedical engineering: 28Publisher: [Piscataway, New Jersey] : IEEE Press, c2002Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2001]Description: 1 PDF (xxxv, 516 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780470544204.Subject(s): Signal processing | Biomedical engineering | Analytical models | Arrays | Band pass filters | Bibliographies | Biological system modeling | Biomedical measurements | Blood | Bones | Brain modeling | Complexity theory | Delay | Electrocardiography | Electrodes | Electroencephalography | Electromyography | Event detection | Feature extraction | Filtering | Firing | Frequency domain analysis | Heart | Heart rate variability | Indexes | Interference | Ions | Joints | Knee | Lead | Mathematical model | Muscles | Myocardium | Noise | Osteoarthritis | Pattern classification | Pressure measurement | Probability density function | Random processes | Resonant frequency | Rhythm | Shape | Signal processing | Speech | Temperature measurement | Temperature sensors | Time domain analysis | Time measurement | Transient analysis | Turning | Valves | Visualization | Wiener filterGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 610/.28 Online resources: Abstract with links to resource Also available in print.
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 Signalb2sgenerating 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: ftp://ftp.ieee.org/uploads/press/rangayyan.
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Includes bibliographical references and index.

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 Signalb2sgenerating Processes and Systems -- Analysis of Nonstationary Signals -- Pattern Classification and Diagnostic Decision -- References -- Index.

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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: ftp://ftp.ieee.org/uploads/press/rangayyan.

Also available in print.

Mode of access: World Wide Web

Description based on PDF viewed 12/21/2015.

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