04475nam a22003974u 4500 10.1002/9781119825883 Wiley 20251030120311.0 cr nn 008mam|a 240122t2024||||xxu fs| |0|| 0|eng|| 9781119825883 electronic 10.1002/9781119825883 doi eng Rangayyan, Rangaraj M. aut 91751 Biomedical Signal Analysis [electronic resource] Rangaraj M. Rangayyan, Sridhar Krishnan 1 Wiley 2024 Wiley 2024 720pp.; text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft PDF Biomedical Signal Analysis Comprehensive resource covering recent developments, applications of current interest, and advanced techniques for biomedical signal analysis Biomedical Signal Analysis provides extensive insight into digital signal processing techniques for filtering, identification, characterization, classification, and analysis of biomedical signals with the aim of computer-aided diagnosis, taking a unique approach by presenting case studies encountered in the authors' research work. Each chapter begins with the statement of a biomedical signal problem, followed by a selection of real-life case studies and illustrations with the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple "textbook" methods, followed by more sophisticated research-informed approaches. Each chapter concludes with solutions to practical applications. Illustrations of real-life biomedical signals and their derivatives are included throughout. The third edition expands on essential background material and advanced topics without altering the underlying pedagogical approach and philosophy of the successful first and second editions. The book is enhanced by a large number of study questions and laboratory exercises as well as an online repository with solutions to problems and data files for laboratory work and projects. Biomedical Signal Analysis provides theoretical and practical information on: The origin and characteristics of several biomedical signals Analysis of concurrent, coupled, and correlated processes, with applications in monitoring of sleep apnea Filtering for removal of artifacts, random noise, structured noise, and physiological interference in signals generated by stationary, nonstationary, and cyclostationary processes Detection and characterization of events, covering methods for QRS detection, identification of heart sounds, and detection of the dicrotic notch Analysis of waveshape and waveform complexity Interpretation and analysis of biomedical signals in the frequency domain Mathematical, electrical, mechanical, and physiological modeling of biomedical signals and systems Sophisticated analysis of nonstationary, multicomponent, and multisource signals using wavelets, time-frequency representations, signal decomposition, and dictionary-learning methods Pattern classification and computer-aided diagnosis Biomedical Signal Analysis is an ideal learning resource for senior undergraduate and graduate engineering students. Introductory sections on signals, systems, and transforms make this book accessible to students in disciplines other than electrical engineering. General & Introductory Biomedical Engineering Signal Processing Artificial Intelligence 58441 biomedical signal filtering; biomedical signal identification; biomedical signal characterization; biomedical signal classification; biomedical signal analysis; biomedical signal processing textbook; waveshape analysis; nonstationary analysis of biomedical signals; modeling of biomedical signals and systems; detection of events in biomedical signals; computer-aided diagnosis Krishnan, Sridhar aut 91752 Printed edition: 9781119825852 https://doi.org/10.1002/9781119825883 Wiley Online Library https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119825883 Wiley Online Library Cover Image https://onlinelibrary.wiley.com/cms/asset/ffe73385-9514-4239-add1-3787d4db2607/9781119825883.cover.gif Wiley Online Library 67074 67074