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Non-traditional interpretation of conventional EEG curve analyses

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F16%3A00348860" target="_blank" >RIV/68407700:21260/16:00348860 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/BF03379950" target="_blank" >https://doi.org/10.1007/BF03379950</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/BF03379950" target="_blank" >10.1007/BF03379950</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Non-traditional interpretation of conventional EEG curve analyses

  • Original language description

    The electroencephalographic (EEG) curve is a highly complex formation representing cerebral system activities. On the one hand it may resemble featureless oscillations in alpha activity, on the other hand it looks like a very irregular tangle of mostly quite random lines even when the proband or patient is in a waking state. Recent findings also indicate that the EEG signal can be studied as a complex numerical series using signal analysis in terms of chaodynamic processes and describe its outcome as fractals or attractors. Using spectral Gabor analysis (GA), local coherence (LCA) and amplitude analyses (AA) we report results with regard to clinical experience and atractor character of epileptic activity. We have developed a simple coefficient method showing the state of EEG synchronisation and, at the same time, also the actual state of integration or complexity of the systems in the brain. Amplitude analysis shows the fractal feature of alpha activity and attractor descriptions related to of epileptic activity. These results might be useful for detection of mental states related to levels of wakefulness or somnolence. 2016, Neuroscientia o.s. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Activitas nervosa superior

  • ISSN

    1802-9698

  • e-ISSN

    1802-9698

  • Volume of the periodical

    58

  • Issue of the periodical within the volume

    1-2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    17

  • Pages from-to

    28-44

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84982988012