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Signal Processing for Neuroscientists: Introduction to the Analysis of Physiological Signals [With CDROM]

  • Hardcover
Signal Processing for Neuroscientists: Introduction to the Analysis of Physiological Signals [With CDROM]
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Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB .
* Multiple color illustrations are integrated in the text * Includes an introduction to biomedical signals, noise characteristics, and recording techniques * Basics and background for more advanced topics can be found in extensive notes and appendices * A Companion Website hosts the MATLAB scripts and several data files: jsp?ISBN=9780123708670
Wim van Drongelen studied Biophysics at the University Leiden, The Netherlands. After a period in the Laboratoire d'Electrophysiologie, Universit Claude Bernard, Lyon, France, he received the Doctoral degree cum laude. In 1980 he received the Ph.D. degree. He worked for the Netherlands Organization for the Advancement of Pure Research (ZWO) in the Department of Animal Physiology, Wageningen, The Netherlands. He lectured and founded a Medical Technology Department at the HBO Institute Twente, The Netherlands. In 1986 he joined the Benelux office of Nicolet Biomedical as an Application Specialist and in 1993 he relocated to Madison, WI, USA where he was involved in research and development of equipment for clinical neurophysiology and neuromonitoring. In 2001 he joined the Epilepsy Center at The University of Chicago, Chicago, IL, USA. Currently he is Professor of Pediatrics, Neurology, and Computational Neuroscience. In addition to his faculty position he serves as Technical and Research Director of the Pediatric Epilepsy Center and he is Senior Fellow with the Computation Institute. Since 2003 he teaches applied mathematics courses for the Committee on Computational Neuroscience. His ongoing research interests include the application of signal processing and modeling techniques to help resolve problems in neurophysiology and neuropathology. For details of recent work see /
Introduction Data Acquisition Noise Signal Averaging Real and Complex Fourier Series Continuous, Discrete, and Fast Fourier Transform Fourier Transform Applications LTI systems, Convolution, Correlation, and Coherence Laplace and z-Transform Introduction to Filters: the RC-Circuit Filters: Analysis Filters: Specification, Bode plot, Nyquist plot Filters: Digital Filters Spike Train Analysis Wavelet Analysis: Time Domain Properties Wavelet Analysis: Frequency Domain Properties Nonlinear Techniques
Author
Wim Van Drongelen
Short Title
SIGNAL PROCESSING FOR NEUROSCI
Pages
308
Publisher
Academic Press
Language
English
ISBN-10
0123708672
ISBN-13
9780123708670
Media
Book
Format
Hardcover
Illustrations
Yes
Year
2006
Publication Date
2006-12-31
Imprint
Academic Press Inc
Subtitle
An Introduction to the Analysis of Physiological Signals
DEWEY
573.8
Country of Publication
United States
Place of Publication
San Diego
Series
Academic Press
Edited by
Wim van Drongelen
Alternative
9780123736499
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