{"title":"Series: IEEE Press Series on Biomedical Engineering","description":"\u003cp\u003eThe \u003cstrong\u003eIEEE Press Series on Biomedical Engineering\u003c\/strong\u003e offers insightful explorations into the intersection of technology and human health. Readers will discover carefully researched works that illuminate innovations in medical devices, computational biology, and the broader implications of engineering in healthcare.\u003c\/p\u003e\n\n\u003cp\u003eBlending technical rigour with accessible prose, this series serves both professionals and curious minds eager to understand the evolving landscape of biomedical engineering. Whether delving into theoretical frameworks or practical applications, these titles provide a thoughtful perspective on the future of medicine and technology.\u003c\/p\u003e","products":[{"product_id":"introduction-to-biomedical-imaging-by-andrew-webb-9781119867715","title":"Introduction to Biomedical Imaging","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eIntroduction to Biomedical Imaging\u003c\/em\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eA state-of-the-art exploration of the foundations and latest developments in biomedical imaging technology\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003eIn the newly revised second edition of \u003cem\u003eIntroduction to Biomedical Imaging\u003c\/em\u003e, distinguished researcher Dr. Andrew Webb delivers a comprehensive description of the fundamentals and applications of the most important current medical imaging techniques: X-ray and computed tomography, nuclear medicine, ultrasound, magnetic resonance imaging, and various optical-based methods. Each chapter explains the physical principles, instrument design, data acquisition, image reconstruction, and clinical applications of its respective modality.\u003c\/p\u003e\n\n\u003cp\u003eThis latest edition incorporates descriptions of recent developments in photon counting CT, total body PET, superresolution-based ultrasound, phased-array MRI technology, optical coherence tomography, and iterative and model-based image reconstruction techniques. The final chapter discusses the increasing role of artificial intelligence\/deep learning in biomedical imaging. The text also includes a thorough introduction to general image characteristics, including discussions of signal-to-noise and contrast-to-noise.\u003c\/p\u003e\n\n\u003cp\u003ePerfect for graduate and senior undergraduate students of biomedical engineering, \u003cem\u003eIntroduction to Biomedical Imaging, 2nd Edition\u003c\/em\u003e will also earn a place in the libraries of medical imaging professionals with an interest in medical imaging techniques.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000651497708,"sku":"9781119867715","price":285.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/19624213482586.jpg?v=1763293783"},{"product_id":"principles-of-magnetic-resonance-imaging-by-zhi-pei-liang-9780780347236","title":"Principles of Magnetic Resonance Imaging","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eIn 1971, Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, \u003cem\u003efather of the MRI\u003c\/em\u003e, and Dr. Zhi-Pei Liang have co-authored the first engineering textbook on magnetic resonance imaging.\u003c\/p\u003e\n\n\u003cp\u003eThis long-awaited, definitive text will help undergraduate and graduate students of biomedical engineering, biomedical imaging scientists, radiologists, and electrical engineers gain an in-depth understanding of MRI principles. The authors use a signal processing approach to describe the fundamentals of magnetic resonance imaging.\u003c\/p\u003e\n\n\u003cp\u003eYou will find a clear and rigorous discussion of these carefully selected essential topics:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eMathematical fundamentals\u003c\/li\u003e\n  \u003cli\u003eSignal generation and detection principles\u003c\/li\u003e\n  \u003cli\u003eSignal characteristics\u003c\/li\u003e\n  \u003cli\u003eSignal localisation principles\u003c\/li\u003e\n  \u003cli\u003eImage reconstruction techniques\u003c\/li\u003e\n  \u003cli\u003eImage contrast mechanisms\u003c\/li\u003e\n  \u003cli\u003eImage resolution, noise, and artefacts\u003c\/li\u003e\n  \u003cli\u003eFast-scan imaging\u003c\/li\u003e\n  \u003cli\u003eConstrained reconstruction\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eComplete with a comprehensive set of examples and homework problems, \u003cem\u003ePrinciples of Magnetic Resonance Imaging\u003c\/em\u003e is the must-read book to improve your knowledge of this revolutionary technique.\u003c\/p\u003e\n\n\u003cp\u003eFor more information on the IEEE Press Series in Biomedical Engineering edited by Metin Akay, visit \u003ca href=\"http:\/\/www.caip.rutgers.edu\/~akay\/book\/\"\u003ehttp:\/\/www.caip.rutgers.edu\/~akay\/book\/\u003c\/a\u003e.\u003c\/p\u003e\n\n\u003cp\u003eProfessors: To request an examination copy, simply e-mail \u003ca href=\"mailto:collegeadoption@ieee.org\"\u003ecollegeadoption@ieee.org\u003c\/a\u003e.\u003c\/p\u003e\n\n\u003cp\u003eSponsored by: IEEE Engineering in Medicine and Biology Society.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000709890284,"sku":"9780780347236","price":390.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/22800013482465.jpg?v=1763299590"},{"product_id":"biomedical-signal-analysis-by-rangaraj-m-rangayyan-9781119825852","title":"Biomedical Signal Analysis","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eBiomedical Signal Analysis\u003c\/em\u003e is a comprehensive resource covering recent developments, applications of current interest, and advanced techniques for biomedical signal analysis. It 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.\u003c\/p\u003e\n\n\u003cp\u003eEach 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, modelling, 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.\u003c\/p\u003e\n\n\u003cp\u003eThe 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.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eBiomedical Signal Analysis\u003c\/em\u003e provides theoretical and practical information on:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eThe origin and characteristics of several biomedical signals\u003c\/li\u003e\n  \u003cli\u003eAnalysis of concurrent, coupled, and correlated processes, with applications in monitoring of sleep apnea\u003c\/li\u003e\n  \u003cli\u003eFiltering for removal of artifacts, random noise, structured noise, and physiological interference in signals generated by stationary, nonstationary, and cyclostationary processes\u003c\/li\u003e\n  \u003cli\u003eDetection and characterisation of events, covering methods for QRS detection, identification of heart sounds, and detection of the dicrotic notch\u003c\/li\u003e\n  \u003cli\u003eAnalysis of waveshape and waveform complexity\u003c\/li\u003e\n  \u003cli\u003eInterpretation and analysis of biomedical signals in the frequency domain\u003c\/li\u003e\n  \u003cli\u003eMathematical, electrical, mechanical, and physiological modelling of biomedical signals and systems\u003c\/li\u003e\n  \u003cli\u003eSophisticated analysis of nonstationary, multicomponent, and multisource signals using wavelets, time-frequency representations, signal decomposition, and dictionary-learning methods\u003c\/li\u003e\n  \u003cli\u003ePattern classification and computer-aided diagnosis\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cem\u003eBiomedical Signal Analysis\u003c\/em\u003e 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.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47423838519532,"sku":"9781119825852","price":314.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781119825852.jpg?v=1774769795"}],"url":"https:\/\/bookhero.pro\/collections\/series-ieee-press-series-on-biomedical-engineering.oembed","provider":"Book Hero","version":"1.0","type":"link"}