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Brain Computer Interface: A Review

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Brain-Computer Interfaces

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

Abstract

A brain-computer interface (BCI) systems permit encephalic activity to solely control computers or external devices. Accordingly, people suffering from neuromuscular diseases can highly benefit from these technologies, since a computer could allow them to perform multiple tasks, such as accessing computer-based entertainment (videos, games, books, music, movies, etc.), communication (Internet, VoIP, e-mails, text processors, speech synthesis, etc.) and means of research (computational capacity, programming languages, simulation applications, etc.). Moreover, nowadays a computer can control various electronic devices, from TVs, DVD and CD players to electric wheel chairs, elevators, doors and lights. The purpose of this chapter is to discuss the concept of brain computer interface (BCI) along with presenting its definition, description, and classification of BCI systems. Also, provides insights on the Neuroimaging modalities for BCI systems such as Electroencephalography (EEG), Electrocorticography (ECoG), and Magnetoencephalography (MEG) approaches. Moreover, this chapter addresses EEG signal processing for BCI from the different perspectives of preprocessing techniques that deal with EOG/EMG artifacts, feature extraction approaches for BCI designs, classification methods and Post-processing. Furthermore, the chapter gives a brief survey of classifiers used in BCI research along with classification performance metrics utilized for BCI systems. Finally, the chapter concludes with outlining ongoing research directions for Brain–computer interface (BCI) systems.

Quiet people have the loudest minds.

Stephen Hawking

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Authors and Affiliations

  1. Arab Academy for Science, Technology, and Maritime Transport, Cairo, Egypt

    Mohamed Mostafa Fouad & Nashwa El-Bendary

  2. Faculty of Computers and Information, Menofia University, Menofia, Egypt

    Khalid Mohamed Amin

  3. Faculty of Computers and Information, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  4. Scientific Research Group in Egypt (SRGE), Cairo, Egypt

    Mohamed Mostafa Fouad, Khalid Mohamed Amin, Nashwa El-Bendary & Aboul Ella Hassanien

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  1. Mohamed Mostafa Fouad
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    Aboul Ella Hassanien

  2. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

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Fouad, M.M., Amin, K.M., El-Bendary, N., Hassanien, A.E. (2015). Brain Computer Interface: A Review. In: Hassanien, A., Azar, A. (eds) Brain-Computer Interfaces. Intelligent Systems Reference Library, vol 74. Springer, Cham. https://doi.org/10.1007/978-3-319-10978-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10977-0

  • Online ISBN: 978-3-319-10978-7

  • eBook Packages: EngineeringEngineering (R0)

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