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Health Information Science

EEG Signal Analysis and Classification

Techniques and Applications

Authors: Siuly, Siuly, Li, Yan, Zhang, Yanchun

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  • 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
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eBook 85,59 €
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  • ISBN 978-3-319-47653-7
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Softcover 103,99 €
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  • ISBN 978-3-319-83791-8
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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.



Table of contents (13 chapters)

Table of contents (13 chapters)

Buy this book

eBook 85,59 €
price for Spain (gross)
  • ISBN 978-3-319-47653-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-47652-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-83791-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
EEG Signal Analysis and Classification
Book Subtitle
Techniques and Applications
Authors
Series Title
Health Information Science
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-47653-7
DOI
10.1007/978-3-319-47653-7
Hardcover ISBN
978-3-319-47652-0
Softcover ISBN
978-3-319-83791-8
Series ISSN
2366-0988
Edition Number
1
Number of Pages
XIII, 256
Number of Illustrations
96 b/w illustrations
Topics

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