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OverviewPractical Biomedical Signal Analysis Using MATLAB(R) presents a coherent treatment of various signal processing methods and applications. The book not only covers the current techniques of biomedical signal processing, but it also offers guidance on which methods are appropriate for a given task and different types of data. The first several chapters of the text describe signal analysis techniques--including the newest and most advanced methods--in an easy and accessible way. MATLAB routines are listed when available and freely available software is discussed where appropriate. The final chapter explores the application of the methods to a broad range of biomedical signals, highlighting problems encountered in practice. A unified overview of the field, this book explains how to properly use signal processing techniques for biomedical applications and avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods. Full Product DetailsAuthor: Katarzyn Blinowska , Jaroslaw ZygierewiczPublisher: Taylor & Francis Inc Imprint: CRC Press Inc Volume: 19 Dimensions: Width: 15.60cm , Height: 2.30cm , Length: 23.40cm Weight: 0.612kg ISBN: 9781439812020ISBN 10: 1439812020 Pages: 324 Publication Date: 12 September 2011 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Replaced By: 9781138364417 Format: Hardback Publisher's Status: Out of Print Availability: Awaiting stock ![]() Table of ContentsReviewsAuthor InformationK.J. Blinowska is a professor at University of Warsaw, where she was director of Graduate Studies in Biomedical Physics and head of the Department of Biomedical Physics. She has been at the forefront in the development of new advanced time-series methods for research and clinical applications. J. Zygierewicz is an assistant professor at University of Warsaw. His research focuses on time-frequency analysis of EEG and MEG signals, statistical analysis of event-related synchronization and desynchronization in EEG and MEG, and realistic neuronal network models that provide insight into the mechanisms underlying the effects observed in EEG and MEG signals. Tab Content 6Author Website:Countries AvailableAll regions |