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Matching Pursuit and Unification in EEG Analysis.

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 signa...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Durka, Piotr
Format: Électronique eBook
Langue:Inglés
Publié: Norwood : Artech House, 2007.
Collection:Artech House engineering in medicine & biology series.
Sujets:
Accès en ligne:Texto completo
Table des matières:
  • 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.