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Mutifractal Analysis of Electroencephalogram Time Series in Humans

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Computational Intelligence and Bioinspired Systems (IWANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3512))

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Abstract

By analyzing electroencephalograms taken from healthy subjects and epilepsy patients, we investigated whether the complexity of the electroencephalogram (EEG) could be characterized by a multifractal. Our results showed that the EEGs from the two sets exhibit higher complexity than monofractal 1/f scaling. A significant finding was the observation that the dynamics of the epileptic EEGs exhibited anticorrelated, correlated, and uncorrelated behaviors. In conclusion, multifractal formalism based on the wavelet transform modulus maxima (WTMM) may be a good tool to characterize the various dynamics of the two sets.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Hanyang University, Korea

    In-Ho Song & Doo-Soo Lee

  2. Department of Biomedical Engineering, College of Medicine, Hanyang University, Haengdang-dong, Seongdong-ku, Seoul, 133-791, Korea

    In-Ho Song, In-Young Kim & Sun I. Kim

  3. Division of Bionics & Bioinformatics, College of Engineering, Chonbuk National University, Deokjin-dong, Jenju, 561-756, Korea

    Sang-Min Lee

Authors
  1. In-Ho Song
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  2. Sang-Min Lee
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  3. In-Young Kim
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  4. Doo-Soo Lee
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  5. Sun I. Kim
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Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada,  

    Alberto Prieto

  3. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

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© 2005 Springer-Verlag Berlin Heidelberg

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Song, IH., Lee, SM., Kim, IY., Lee, DS., Kim, S.I. (2005). Mutifractal Analysis of Electroencephalogram Time Series in Humans. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_113

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  • DOI: https://doi.org/10.1007/11494669_113

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26208-4

  • Online ISBN: 978-3-540-32106-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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