IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-030-84122-5_10.html
   My bibliography  Save this book chapter

Analysis of Electroencephalography (EEG) Signals Based on the Haar Wavelet Transformation

In: Approximation and Computation in Science and Engineering

Author

Listed:
  • Y. Contoyiannis

    (West Attica University (UNIWA)
    University of Athens)

  • P. Papadopoulos

    (West Attica University (UNIWA))

  • S. M. Potirakis

    (West Attica University (UNIWA))

  • M. Kampitakis

    (Network Major Installations Department)

  • N. L. Matiadou

    (West Attica University (UNIWA))

  • E. Kosmidis

    (Aristotle University of Thessaloniki)

Abstract

EEG recordings give extremely noisy signals that do not allow classical methods to clearly display such as the existence of power laws or even more so the critical state that is a signature of the normal operation of biological tissues (Contoyiannis et al., Phys Rev Lett 93:098101, 2004; Contoyiannis et al., Nat Hazards Earth Syst Sci 13:125–139, 2013; Kosmidis et al., Eur J Neurosci, 2018. https://doi.org/10.1111/ejn.14117 ). We have recently introduced a method, based on Haar wavelet transformation (Contoyiannis et al. Phys. Rev. E 101:052104, 2020), that completely ignores noise and thus can reveal the information of the power law in EEGs. It calculates the exponent of the power law and thus gives us the ability to determine whether the brain is in critical state in terms of physics, i.e., in a state of normal biological function. Pathological conditions, such as epilepsy, are quantified through this method so we can observe their evolution.

Suggested Citation

  • Y. Contoyiannis & P. Papadopoulos & S. M. Potirakis & M. Kampitakis & N. L. Matiadou & E. Kosmidis, 2022. "Analysis of Electroencephalography (EEG) Signals Based on the Haar Wavelet Transformation," Springer Optimization and Its Applications, in: Nicholas J. Daras & Themistocles M. Rassias (ed.), Approximation and Computation in Science and Engineering, pages 157-166, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-84122-5_10
    DOI: 10.1007/978-3-030-84122-5_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zitis, Pavlos I. & Contoyiannis, Yiannis & Potirakis, Stelios M., 2022. "Critical dynamics related to a recent Bitcoin crash," International Review of Financial Analysis, Elsevier, vol. 84(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:spochp:978-3-030-84122-5_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.