With the rise of advanced computerized data collection systems,
monitoring devices, and instrumentation technologies, large and
complex datasets accrue as an inevitable part of biomedical
enterprise. The availability of these massive amounts of data
offers unprecedented opportunities to advance our understanding of
underlying biological and physiological functions, structures, and
dynamics.
Biosignal Processing: Principles and Practices provides
state-of-the-art coverage of contemporary methods in biosignal
processing with an emphasis on brain signal analysis. After
introducing the fundamentals, it presents emerging methods for
brain signal processing, focusing on specific non-invasive imaging
techniques such as electroencephalography (EEG),
magnetoencephalography (MEG), magnetic resonance imaging (MRI), and
functional near-infrared spectroscopy (fNIR). In addition, the book
presents recent advances, reflecting the evolution of biosignal
processing.
As biomedical datasets grow larger and more complicated, the
development and use of signal processing methods to analyze and
interpret these data has become a matter of course. This book is
one step in the development of biosignal analysis and is designed
to stimulate new ideas and opportunities in the development of
cutting-edge computational methods for biosignal processing.
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