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Singular Spectrum Analysis of Biomedical Signals (Hardcover)
Loot Price: R5,198
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Singular Spectrum Analysis of Biomedical Signals (Hardcover)
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Recent advancements in signal processing and computerised methods
are expected to underpin the future progress of biomedical research
and technology, particularly in measuring and assessing signals and
images from the human body. This book focuses on singular spectrum
analysis (SSA), an effective approach for single channel signal
analysis, and its bivariate, multivariate, tensor based,
complex-valued, quaternion-valued and robust variants. SSA
currently has numerous applications in detecting abnormalities in
quasi-periodic biosignals, such as electrocardiograms, (ECGs or
EKGs), oxygen levels, arterial pressure, and electroencephalograms
(EEGs). Singular Spectrum Analysis of Biomedical Signals presents
relatively newly applied concepts for biomedical applications of
SSA, including: Signal source separation, extraction,
decomposition, and factorization Physiological, biological, and
biochemical signal processing A new SSA grouping algorithm for
filtering and noise reduction of genetics data Prediction of
various clinical events The book introduces a new mathematical and
signal processing technique for the decomposition of widely
available single channel biomedical data. It also provides
illustrations of new signal processing results in the form of
signals, graphs, images, and tables to reinforce understanding of
the related concepts. Singular Spectrum Analysis of Biomedical
Signals enhances current clinical knowledge and aids physicians in
improving diagnosis, treatment and monitoring some clinical
abnormalities. It also lays groundwork for progress in SSA by
making suggestions for future research.
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