1st Edition

Biosignal Processing Principles and Practices

    220 Pages 76 B/W Illustrations
    by CRC Press

    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.

    Digital Biomedical Signal Acquisition and Processing
    Luca T. Mainardi, Anna M. Bianchi, and Sergio Cerutti

    Time–Frequency Signal Representations for Biomedical Signals
    G. Faye Boudreaux-Bartels and Robin Murray

    Multivariate Spectral Analysis of Electroencephalogram: Power, Coherence, and Second-Order Blind Identification
    Ramesh Srinivasan and Siyi Deng

    General Linear Modeling of Magnetoencephalography Data
    Dimitrios Pantazis, Juan Luis Poletti Soto, and Richard M. Leahy

    Emergence of Groupwise Registration in MR Brain Study
    Guorong Wu, Hongjun Jia, Qian Wang, Feng Shi, Pew-Thian Yap, and Dinggang Shen

    Functional Optical Brain Imaging
    Meltem Izzetoglu

    Causality Analysis of Multivariate Neural Data
    Maciej Kamiński and Hualou Liang


    Hualou LiangJoseph D. BronzinoDonald R. Peterson