Biomedical Signal Analysis: A Case-Study Approach

Biomedical Signal Analysis: A Case-Study Approach Books

Biomedical Signal Analysis: A Case Study Approach

Product Description
An authoritative assessment of the problems and applications of biomedical signals, rooted in matter-of-fact case studies
The development of techniques to question biomedical signals, such as electro-cardiograms, has dramatically affected countless lives by making possible improved noninvasive diagnosis, online monitoring of critically ill patients, and remedy and sensory aids for the handicapped. Rangaraj Rangayyan supplies a matter-of-fact, 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 starts 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 choice
The chapters also bestow a number of laboratory exercises, study questions, and problems to facilitate preparation for class examinations and matter-of-fact applications. Biomedical Signal Analysis provides a definitive resource for upper-level below-graduate and graduate engineering students, as well as for involved engineers, computer scientists, in rank technologists, medical physicists, and data processing specialists.

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