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  • © 2016

EEG Signal Analysis and Classification

Techniques and Applications

  • Presents innovative methodologies in two emerging fields, including epileptic seizure detection and mental state identification for brain computer interface

  • Discusses the applications of developed methods in real-time benchmark databases and provides experimental evaluation results to assess the efficacy of such methods

  • Shows researchers and practitioners how to improve the existing systems to increase benefits for medical analysis and management

Part of the book series: Health Information Science (HIS)

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eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-47653-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
Price excludes VAT (USA)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xiii
  2. Introduction

    1. Front Matter

      Pages 1-1
    2. Electroencephalogram (EEG) and Its Background

      • Siuly Siuly, Yan Li, Yanchun Zhang
      Pages 3-21
    3. Significance of EEG Signals in Medical and Health Research

      • Siuly Siuly, Yan Li, Yanchun Zhang
      Pages 23-41
    4. Objectives and Structures of the Book

      • Siuly Siuly, Yan Li, Yanchun Zhang
      Pages 43-61
  3. Techniques for the Diagnosis of Epileptic Seizures from EEG Signals

    1. Front Matter

      Pages 63-63
    2. Random Sampling in the Detection of Epileptic EEG Signals

      • Siuly Siuly, Yan Li, Yanchun Zhang
      Pages 65-82
    3. A Novel Clustering Technique for the Detection of Epileptic Seizures

      • Siuly Siuly, Yan Li, Yanchun Zhang
      Pages 83-97
  4. Methods for Identifying Mental States in Brain Computer Interface Systems

    1. Front Matter

      Pages 151-151
    2. Modified CC-LR Algorithm for Identification of MI-Based EEG Signals

      • Siuly Siuly, Yan Li, Yanchun Zhang
      Pages 173-188
    3. Comparative Study: Motor Area EEG and All-Channels EEG

      • Siuly Siuly, Yan Li, Yanchun Zhang
      Pages 211-225
  5. Discussions, Future Directions and Conclusions

    1. Front Matter

      Pages 245-245
    2. Summary Discussion on the Methods, Future Directions and Conclusions

      • Siuly Siuly, Yan Li, Yanchun Zhang
      Pages 247-256

About this book

This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use. 

Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. 
Addressing the issue, this book examines new EEG signal analysis approaches with a combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developed methodologies that have been tested on several real-time benchmark databases.

This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from its suggested improvements to the current computer-aided based diagnostic systems for the precise analysis and management of EEG signals.




Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-47653-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
Price excludes VAT (USA)