Brain-Computer Interfaces

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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.


Presents current trends and applications in Brain Computer Interface technology Presents novel paradigms for EEG signal recording, advanced methods for processing them, new applications for Brain Computer Interface systems Describes software and hardware packages used for Brain Computer Interface applications Written by experts in the field Includes supplementary material: sn.pub/extras

Autorentext
Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.
Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.

Inhalt
General Views on Brain-Computer Interfacing.-New Theoretical Developments.- Views on Applications.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319109770
    • Editor Aboul Ella Hassanien, Ahmad Taher Azar
    • Sprache Englisch
    • Genre Allgemeines & Lexika
    • Lesemotiv Verstehen
    • Größe H241mm x B160mm x T29mm
    • Jahr 2014
    • EAN 9783319109770
    • Format Fester Einband
    • ISBN 3319109774
    • Veröffentlichung 14.11.2014
    • Titel Brain-Computer Interfaces
    • Untertitel Current Trends and Applications
    • Gewicht 811g
    • Herausgeber Springer
    • Anzahl Seiten 432

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