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Biomedical Signal Analysis - Contemporary Methods and Applications (Hardcover)
Loot Price: R350
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Biomedical Signal Analysis - Contemporary Methods and Applications (Hardcover)
Series: The MIT Press
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List price R373
Loot Price R350
Discovery Miles 3 500
You Save R23 (6%)
Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.
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A comprehensive introduction to innovative methods in the field of
biomedical signal analysis, covering both theory and practice.
Biomedical signal analysis has become one of the most important
visualization and interpretation methods in biology and medicine.
Many new and powerful instruments for detecting, storing,
transmitting, analyzing, and displaying images have been developed
in recent years, allowing scientists and physicians to obtain
quantitative measurements to support scientific hypotheses and
medical diagnoses. This book offers an overview of a range of
proven and new methods, discussing both theoretical and practical
aspects of biomedical signal analysis and interpretation.After an
introduction to the topic and a survey of several processing and
imaging techniques, the book describes a broad range of methods,
including continuous and discrete Fourier transforms, independent
component analysis (ICA), dependent component analysis, neural
networks, and fuzzy logic methods. The book then discusses
applications of these theoretical tools to practical problems in
everyday biosignal processing, considering such subjects as
exploratory data analysis and low-frequency connectivity analysis
in fMRI, MRI signal processing including lesion detection in breast
MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion
classification, and microscopic slice image processing and
automatic labeling. Biomedical Signal Analysis can be used as a
text or professional reference. Part I, on methods, forms a
self-contained text, with exercises and other learning aids, for
upper-level undergraduate or graduate-level students. Researchers
or graduate students in systems biology, genomic signal processing,
and computer-assisted radiology will find both parts I and II (on
applications) a valuable handbook.
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