Biosignal Processing : Principles and Practices

Hualou Liang

ISBN 10: 1439871434 / ISBN 13: 9781439871430

Published by CRC Press, 2012

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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 datasets 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.

Seller Inventory # 9781439871430

Bibliographic Details

• Title: Biosignal Processing : Principles and Practices
• Publisher: CRC Press
• Publication Date: 2012
• Language: English
• ISBN 10: 1439871434
• ISBN 13: 9781439871430
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 17D millimeters 260 millimeters width by 183 millimeters height by 17 millimeters depth
• Weight: 621 grams

About this title

Synopsis

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.

About the Author

Hualou LiangJoseph D. BronzinoDonald R. Peterson