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Practical Biomedical Signal Analysis Using MATLAB (R) (Hardcover, 2nd edition)
Loot Price: R3,408
Discovery Miles 34 080
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Practical Biomedical Signal Analysis Using MATLAB (R) (Hardcover, 2nd edition)
Series: Series in Medical Physics and Biomedical Engineering
Expected to ship within 12 - 17 working days
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Total price: R3,428
Discovery Miles: 34 280
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Covering the latest cutting-edge techniques in biomedical signal
processing while presenting a coherent treatment of various signal
processing methods and applications, this second edition of
Practical Biomedical Signal Analysis Using MATLAB (R) also offers
practical guidance on which procedures are appropriate for a given
task and different types of data. It begins by describing signal
analysis techniques-including the newest and most advanced methods
in the field-in an easy and accessible way, illustrating them with
Live Script demos. MATLAB (R) routines are listed when available,
and freely available software is discussed where appropriate. The
book concludes by exploring the applications of the methods to a
broad range of biomedical signals while highlighting common
problems encountered in practice. These chapters have been updated
throughout and include new sections on multiple channel analysis
and connectivity measures, phase-amplitude analysis, functional
near-infrared spectroscopy, fMRI (BOLD) signals, wearable devices,
multimodal signal analysis, and brain-computer interfaces. By
providing a unified overview of the field, this book explains how
to integrate signal processing techniques in biomedical
applications properly and explores how to avoid misinterpretations
and pitfalls. It helps readers to choose the appropriate method as
well as design their own methods. It will be an excellent guide for
graduate students studying biomedical engineering and practicing
researchers in the field of biomedical signal analysis. Features:
Fully updated throughout with new achievements, technologies, and
methods and is supported with over 40 original MATLAB Live Scripts
illustrating the discussed techniques, suitable for self-learning
or as a supplement to college courses Provides a practical
comparison of the advantages and disadvantages of different
approaches in the context of various applications Applies the
methods to a variety of signals, including electric, magnetic,
acoustic, and optical Katarzyna J. Blinowska is a Professor
emeritus at the University of Warsaw, Poland, where she was
director of Graduate Studies in Biomedical Physics and head of the
Department of Biomedical Physics. Currently, she is employed at the
Institute of Biocybernetics and Biomedical Engineering of the
Polish Academy of Sciences. She has been at the forefront in
developing new advanced time-series methods for research and
clinical applications. Jaroslaw Zygierewicz is a Professor at the
University of Warsaw, Poland. His research focuses on developing
methods for analyzing EEG and MEG signals, brain-computer
interfaces, and applications of machine learning in signal
processing and classification.
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