Non-traditional interpretation of conventional EEG curve analyses

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Non-traditional interpretation of conventional EEG curve analyses

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Non-traditional interpretation of conventional EEG curve analyses

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Activitas nervosa superior

ISSN

1802-9698

e-ISSN

1802-9698

Svazek periodika

58

Číslo periodika v rámci svazku

1-2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

17

Strana od-do

28-44

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84982988012