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Studies in Computational Intelligence

Analysis and Classification of EEG Signals for Brain–Computer Interfaces

Authors: Paszkiel, Szczepan

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  • Presents a wealth of information on the development of brain–computer (BCI) technology with a particular focus on data acquisition methods and tools used for analyzing human brain activity
  • Highlights recent research on the analysis and classification of EEG signals for brain–computer interfaces
  • Covers research work on brain–computer technology, including identification of the sources of brain signals generated due to the correlation of neuronal cell fractions
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eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-030-30581-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: November 23, 2019
  • ISBN 978-3-030-30580-2
  • Free shipping for individuals worldwide
About this book

This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain–computer interfaces. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain work, to the use of Moore–Penrose pseudo inversion to reconstruct the EEG signal and the LORETA method to locate sources of EEG signal generation for the needs of BCI technology.

In turn, the book explores the use of neural networks for the classification of changes in the EEG signal based on facial expressions. Further topics touch on machine learning, deep learning, and neural networks. The book also includes dedicated implementation chapters on the use of brain–computer technology in the field of mobile robot control based on Python and the LabVIEW environment. In closing, it discusses the problem of the correlation between brain–computer technology and virtual reality technology.

Table of contents (14 chapters)

Table of contents (14 chapters)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-030-30581-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: November 23, 2019
  • ISBN 978-3-030-30580-2
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Analysis and Classification of EEG Signals for Brain–Computer Interfaces
Authors
Series Title
Studies in Computational Intelligence
Series Volume
852
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-30581-9
DOI
10.1007/978-3-030-30581-9
Hardcover ISBN
978-3-030-30580-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
VI, 132
Topics