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Practical Designs of Brain–Computer Interfaces Based on the Modulation of EEG Rhythms

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Brain-Computer Interfaces

Part of the book series: The Frontiers Collection ((FRONTCOLL))

Abstract

A brain–computer interface (BCI) is a communication channel which does not depend on the brain’s normal output pathways of peripheral nerves and muscles [1–3]. It supplies paralyzed patients with a new approach to communicate with the environment. Among various brain monitoring methods employed in current BCI research, electroencephalogram (EEG) is the main interest due to its advantages of low cost, convenient operation and non-invasiveness. In present-day EEG-based BCIs, the following signals have been paid much attention: visual evoked potential (VEP), sensorimotor mu/beta rhythms, P300 evoked potential, slow cortical potential (SCP), and movement-related cortical potential (MRCP). Details about these signals can be found in chapter “Brain Signals for Brain–Computer Interfaces”. These systems offer some practical solutions (e.g., cursor movement and word processing) for patients with motor disabilities.

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Acknowledgments

This project is supported by the National Natural Science Foundation of China (30630022) and the Science and Technology Ministry of China under Grant 2006BAI03A17.

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Authors and Affiliations

  1. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China

    Yijun Wang, Xiaorong Gao, Bo Hong & Shangkai Gao

Authors
  1. Yijun Wang
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  2. Xiaorong Gao
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  3. Bo Hong
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  4. Shangkai Gao
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Corresponding author

Correspondence to Shangkai Gao .

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Editors and Affiliations

  1. Otto Bock HealthCare GmbH, Max-Näder-Str. 15, Duderstadt, 37115, Germany

    Bernhard Graimann

  2. Institut für Semantische Datenanalyse/, Knowledge Discovery, Technische Universität Graz, Krenngasse 37, Graz, 8010, Austria

    Gert Pfurtscheller

  3. Inst. Semantische Datenanalyse, Brain-Computer Interface Labor (BCI), TU Graz, Krenngasse 37/III, Graz, 8010, Austria

    Brendan Allison

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Wang, Y., Gao, X., Hong, B., Gao, S. (2009). Practical Designs of Brain–Computer Interfaces Based on the Modulation of EEG Rhythms. In: Graimann, B., Pfurtscheller, G., Allison, B. (eds) Brain-Computer Interfaces. The Frontiers Collection. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02091-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-02091-9_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02090-2

  • Online ISBN: 978-3-642-02091-9

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