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Matching Pursuit and Unification in EEG Analysis.

Author: Piotr Durka
Publisher: Norwood : Artech House, 2007.
Series: Engineering in Medicine & Biology.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Although visual analysis of EEGs has been the state of the art in electroencephalography for 70 years, advanced signal processing methods offer a superior alternative in numerous biomedical clinical and research applications. This first-of-its-kind guide bridges the gap from visual analysis to signal processing techniques, providing engineers, researchers, and clinicians with an innovative, clear methodology for  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Piotr Durka
ISBN: 9781580533195 1580533191
OCLC Number: 437208191
Description: 1 online resource (204 pages).
Contents: Matching Pursuit and Unification in EEG Analysis; Contents v; Foreword; Preface xi; Part I Some Basic Notions; Chapter 1 Signal: Going Digital 3; Chapter 2 Analysis 11; Chapter 3 Spectrum 19; Chapter 4 Between Time and Frequency 29; Chapter 5 Choosing the Representation 39; Chapter 6 Advantages of Adaptive Approximations 47; Chapter 7 Caveats and Practical Issues 55; Part II EEG Analysis 61; Chapter 8 Parameterization of EEG Transients 63; Chapter 9 Epileptic Seizures 87; Chapter 10 Event-Related Desynchronization and Synchronization 101; Plates; Chapter 11 Selective Estimates of Energy 115. Chapter 12 Spatial Localization of Cerebral Sources 131Part III Equations and Technical Details; Chapter 13 Adaptive Approximations and Matching Pursuit 143; Chapter 14 Implementation: Details and Tricks 167; Chapter 15 Statistical Significance of Changes in the Time-Frequency Plane 173; About the Author 181; Index 183.
Series Title: Engineering in Medicine & Biology.

Abstract:

Although visual analysis of EEGs has been the state of the art in electroencephalography for 70 years, advanced signal processing methods offer a superior alternative in numerous biomedical clinical and research applications. This first-of-its-kind guide bridges the gap from visual analysis to signal processing techniques, providing engineers, researchers, and clinicians with an innovative, clear methodology for biomedical signal.

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