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LEADER 00000cam a2200325 a 4500 
001    u41105 
003    SIRSI 
008    160815s2013    xxua     b    001 0 eng d 
020    9781439871430 (hardcover : alk. paper) 
050 00 RC386.6.B7 |bB56 2013 
245 00 Biosignal processing : |bprinciples and practices / 
       |cedited by Hualou Liang, Joseph D. Bronzino, and Donald 
       R. Peterson. 
260    Boca Raton : |bCRC Press/Taylor & Francis, |c2013 
300    1 volume (various paging) : |billustrations (some color) ;
       |c26 cm. 
504    Includes bibliographical references and index. 
505    Causality analysis of multivariate neural data / Maciej 
       Kaminski, Hualou Liang -- Multivariate spectral analysis 
       of EEG : power, coherence, and second-order blind 
       identification / Ramesh Srinivasan and Siyi Deng -- 
       Functional optical brain imaging / Meltem Izzetoglu -- 
       General linear modeling of magnetoencephalography data / 
       Dimitrios Pantazis, Juan Luis Poletti Soto, Richard M. 
       Leahy -- Emergence of groupwise registration in MR brain 
       study / Guorong Wu ... [et al.] -- Digital biomedical 
       signal acquisition and processing / Luca Mainardi, Sergio 
       Cerutti -- Time-frequency signal representations for 
       biomedical signals / G. Faye Boudreaux-Bartels and Robin 
       Murray. 
520    "This book provides state-of-the-art coverage of 
       contemporary methods in biosignal processing, with 
       emphasis on brain signal analysis. The topics covered in 
       this book reflect an ongoing evolution in biosignal 
       processing. As biomedical data sets grow larger and more 
       complicated, emerging signal processing methods to analyze
       and interpret these data have gained in importance. This 
       book discusses the process for biosignal analysis and 
       stimulates new ideas and opportunities for developing 
       cutting-edge computational methods for biosignal 
       processing, which will in turn accelerate laboratory 
       discoveries into treatments for patients. Provides a 
       general overview of basic concepts in biomedical signal 
       acquisition and processing. Discusses nonstationary and 
       transient nature of signals by introducing time-frequency 
       analysis and its applications to signal analysis and 
       detection problems in bioengineering. Covers emerging 
       methods for brain signal processing, each focusing on 
       specific non-invasive imaging techniques such as 
       electroencephalography (EEG), magnetoencephalography (MEG),
       magnetic resonance imaging (MRI) and functional near-
       infrared spectroscopy (fNIR). Explores a multivariate 
       spectral analysis of EEG data using power, coherence and 
       second-order blind identification. Introduces a general 
       linear modeling approach for the analysis of induced and 
       evoked response in MEG. Presents the progress in groupwise
       registration algorithms for effective MRI medical image 
       analysis. Examines the basis of optical imaging, fNIR 
       instrumentation and signal analysis in various cognitive 
       studies. Reviews recent advances of causal influence 
       measures such as Granger causality for analyzing 
       multivariate neural data"-- / Provided by publisher 
700 1  Liang, Hualou 
700 1  Bronzino, Joseph D.,|d1937- 
700 1  Peterson, Donald R