Brain Seizure Detection and Classification Using EEG Signals
eBook - ePub

Brain Seizure Detection and Classification Using EEG Signals

  1. 176 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Brain Seizure Detection and Classification Using EEG Signals

About this book

Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT). The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance. - Presents EEG signal processing and analysis concepts with high performance feature extraction - Discusses recent trends in seizure detection, prediction and classification methodologies - Helps classify epileptic and non-epileptic seizures where misdiagnosis may lead to the unnecessary use of antiepileptic medication - Provides new guidance and technical discussions on feature-extraction methods and feature selection methods based on One-way ANOVA, along with high performance machine learning classifiers for classification of EEG signals in normal and epileptic EEG signals, and new methods of feature extraction developed by the authors, including Singular Spectrum-Empirical Wavelet

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Yes, you can access Brain Seizure Detection and Classification Using EEG Signals by Varsha K. Harpale,Vinayak Bairagi in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. List of Illustrations
  10. List of Tables
  11. Chapter 1 : Introduction: Engineering research in neurological disorders
  12. Chapter 2 : Concepts of EEG analysis and seizures
  13. Chapter 3 : Seizure detection methods and analysis
  14. Chapter 4 : Pattern adapted wavelet-based seizure prediction
  15. Chapter 5 : Effective method for epileptic and nonepileptic seizure classification
  16. Chapter 6 : Concluding remarks and future scope
  17. Index
  18. A