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Brain-Computer Interfaces

Current Trends and Applications

  • Aboul Ella Hassanien
  • Ahmad Taher Azar

Part of the Intelligent Systems Reference Library book series (ISRL, volume 74)

Table of contents

  1. Front Matter
    Pages i-xv
  2. General Views on Brain-Computer Interfacing

    1. Front Matter
      Pages 1-1
    2. Mohamed Mostafa Fouad, Khalid Mohamed Amin, Nashwa El-Bendary, Aboul Ella Hassanien
      Pages 3-30
    3. Rabie A. Ramadan, S. Refat, Marwa A. Elshahed, Rasha A. Ali
      Pages 31-50
  3. New Theoretical Developments

    1. Front Matter
      Pages 123-123
    2. Aleksandr Zaitcev, Greg Cook, Wei Liu, Martyn Paley, Elizabeth Milne
      Pages 125-153
    3. L. C. Hoffmann, J. J. Cicchese, S. D. Berry
      Pages 155-184
    4. Martyn Paley, Shwan Kaka, Heather Hilliard, Aleksandr Zaytsev, Adriana Bucur, Steven Reynolds et al.
      Pages 185-213
  4. Views on Applications

    1. Front Matter
      Pages 271-271
    2. Kusuma Mohanchandra, Snehanshu Saha, G. M. Lingaraju
      Pages 273-293
    3. Aniruddha Mukherjee, Goutami Dey, Monalisa Dey, Nilanjan Dey
      Pages 295-312
    4. Rakesh Deore, Suresh Mehrotra
      Pages 337-374
    5. Rakesh Deore, Bharati Gawali, Suresh Mehrotra
      Pages 375-416

About this book

Introduction

The success of a BCI system depends as much on the system itself as on the user’s ability to produce distinctive EEG activity. BCI systems can be divided into two groups according to the placement of the electrodes used to detect and measure neurons firing in the brain. These groups are: invasive systems, electrodes are inserted directly into the cortex are used for single cell or multi unit recording, and electrocorticography (EcoG), electrodes are placed on the surface of the cortex (or dura); noninvasive systems, they are placed on the scalp and use electroencephalography (EEG) or magnetoencephalography (MEG) to detect neuron activity.

The book is basically divided into three parts. The first part of the book covers the basic concepts and overviews of Brain Computer Interface. The second part describes new theoretical developments of BCI systems. The third part covers views on real applications of BCI systems.

Keywords

BCI Brain Computer Infaces Decision Support Systems EEG Recording Feature Extraction Intelligent Systems Machine Learning Mutual Information

Editors and affiliations

  • Aboul Ella Hassanien
    • 1
  • Ahmad Taher Azar
    • 2
  1. 1.Department of Information TechnologyCairo UniversityGizaEgypt
  2. 2.Faculty of Computers and InformationBenha UniversityBenhaEgypt

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-10978-7
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-10977-0
  • Online ISBN 978-3-319-10978-7
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site