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International Conference on Information Technology in Bio- and Medical Informatics

ITBAM 2010: Information Technology in Bio- and Medical Informatics, ITBAM 2010 pp 220–225Cite as

Initial Analysis of the EEG Signal Processing Methods for Studying Correlations between Muscle and Brain Activity

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6266))

Abstract

The paper presents an analysis of EEG signal processing methods for studying correlations between human muscle and brain activity. The main task of this work is to design the methods of EEG signal processing and to verify them on artificial and real signals. The paper introduces methods of EEG processing in time and frequency domain.

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References

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Author information

Authors and Affiliations

  1. Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, CZ-16627, Prague 6, Czech Republic

    Helena Valentová & Jan Havlík

Authors
  1. Helena Valentová
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  2. Jan Havlík
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Editor information

Editors and Affiliations

  1. Department of Computer Science, San José State University, One Washington Square, 95192-0249, San José, CA, U.S.A.

    Sami Khuri

  2. Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University, Technicka 2, 166 27, Prague 6, Czech Republic

    Lenka Lhotská

  3. Dipartimento di Informatica, University of Pisa, Largo, Pontecorvo 3, 56127, Pisa, Italy

    Nadia Pisanti

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© 2010 Springer-Verlag Berlin Heidelberg

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Valentová, H., Havlík, J. (2010). Initial Analysis of the EEG Signal Processing Methods for Studying Correlations between Muscle and Brain Activity. In: Khuri, S., Lhotská, L., Pisanti, N. (eds) Information Technology in Bio- and Medical Informatics, ITBAM 2010. ITBAM 2010. Lecture Notes in Computer Science, vol 6266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15020-3_20

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  • DOI: https://doi.org/10.1007/978-3-642-15020-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15019-7

  • Online ISBN: 978-3-642-15020-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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