Biosignal Processing

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ADNI Data
advanced physiological measurement
Alpha Band
biomedical signal processing
biosignal processing principles
brain mapping
brain waves physiology
brain-computer
Category=UYQ
causality
computational neuroscience techniques
Concentric Spheres Model
Cross-spectral Density Function
Dipole Layer
ECG Signal
EEG Channel
EEG Coherence
EEG Dynamic
EEG Electrode
EEG Power Spectrum
EEG Signal
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
fNIR Data
fNIR Measurements
fNIR Studies
functional brain imaging
FWER Control
GLM Framework
granger
Granger Causality
hemodynamic
interface
Meg Data
Multivariate Spectral Analysis
multivariate time series
neural data analysis
Occipital Channel
response
Scalp EEG
Scalp Potential
secondary
spike
statistical modeling neuroscience
Tissue Probability Maps
train
verbal
Volume Conduction

Product details

  • ISBN 9781439871430
  • Weight: 566g
  • Dimensions: 178 x 254mm
  • Publication Date: 17 Oct 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

Hualou LiangJoseph D. BronzinoDonald R. Peterson