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Complex Analysis of EEG Signal for Biometrical Classification Purposes

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Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 289))

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Abstract

Aim of this article is to clarify the potential utilization of complex EEG signal in modern information age. Brain Computer Interface (BCI) represents the connection of brain waves with output device through some interface.

It was investigated whether the correlation analysis of the EEG signal may be used for finding appropriate classification parameters. EEG signal was measured in the idle state of mind of 3 subjects. Complex correlation analysis was performed for 16 samples of each obtained signal history. Moreover, the position of maximal correlation was also recorded.

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Author information

Authors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01, Zlin, Czech Republic

    Jaromir Svejda, Roman Zak, Roman Senkerik & Roman Jasek

Authors
  1. Jaromir Svejda
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  2. Roman Zak
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  3. Roman Senkerik
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  4. Roman Jasek
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Corresponding author

Correspondence to Jaromir Svejda .

Editor information

Editors and Affiliations

  1. Department of Computer Science, VÅ B-TUO, Ostrava-Poruba, Czech Republic

    Ivan Zelinka

  2. Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China

    Guanrong Chen

  4. Department of Computer Science, VÅ B-TUO, Ostrava-Poruba, Czech Republic

    Vaclav Snasel

  5. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  6. Institute for Physical and Theoretical Chemistry, University of Tübingen, Tübingen, Baden-Württemberg, Germany

    Otto Rössler

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© 2014 Springer International Publishing Switzerland

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Svejda, J., Zak, R., Senkerik, R., Jasek, R. (2014). Complex Analysis of EEG Signal for Biometrical Classification Purposes. In: Zelinka, I., Suganthan, P., Chen, G., Snasel, V., Abraham, A., Rössler, O. (eds) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Advances in Intelligent Systems and Computing, vol 289. Springer, Cham. https://doi.org/10.1007/978-3-319-07401-6_45

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  • DOI: https://doi.org/10.1007/978-3-319-07401-6_45

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07400-9

  • Online ISBN: 978-3-319-07401-6

  • eBook Packages: EngineeringEngineering (R0)

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