Biosignal Processing: Principles and Practices, 1st Edition (Hardback) book cover

Biosignal Processing

Principles and Practices, 1st Edition

Edited by Hualou Liang, Joseph D. Bronzino, Donald R. Peterson

CRC Press

202 pages | 76 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781439871430
pub: 2012-10-17
SAVE ~$28.00
Currently out of stock
eBook (VitalSource) : 9780429104800
pub: 2012-10-17
from $28.98

FREE Standard Shipping!


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.

Table of Contents

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

Subject Categories

BISAC Subject Codes/Headings:
MEDICAL / General
MEDICAL / Biotechnology