Age-Based Analysis Of The Brain Activity During Sleep Induced By Medication
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00179906%3A_____%2F23%3A10459040" target="_blank" >RIV/00179906:_____/23:10459040 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/62690094:18450/23:50019885 RIV/62690094:18470/23:50019885
Výsledek na webu
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ZKbQJkrUEn" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ZKbQJkrUEn</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X23500111" target="_blank" >10.1142/S0218348X23500111</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Age-Based Analysis Of The Brain Activity During Sleep Induced By Medication
Popis výsledku v původním jazyce
One of the important areas of research in neuroscience is to investigate how brain activity changes during aging. In this research, we employ complexity techniques to analyze how brain activity changes based on the age of subjects during sleep. For this purpose, we analyze the Electroencephalogram (EEG) signals of 22 subjects induced by sleep medication using fractal theory and sample entropy. The analysis showed that the fractal dimension and sample entropy of EEG signals decrease due to aging. Therefore, we concluded that aging causes lower complexity in EEG signals during sleep. The employed method of analysis could be applied to analyze the effect of aging on the variations of the activity of other organs (e.g. heart, muscle) during aging by studying their related physiological signals (e.g. ECG, EMG).
Název v anglickém jazyce
Age-Based Analysis Of The Brain Activity During Sleep Induced By Medication
Popis výsledku anglicky
One of the important areas of research in neuroscience is to investigate how brain activity changes during aging. In this research, we employ complexity techniques to analyze how brain activity changes based on the age of subjects during sleep. For this purpose, we analyze the Electroencephalogram (EEG) signals of 22 subjects induced by sleep medication using fractal theory and sample entropy. The analysis showed that the fractal dimension and sample entropy of EEG signals decrease due to aging. Therefore, we concluded that aging causes lower complexity in EEG signals during sleep. The employed method of analysis could be applied to analyze the effect of aging on the variations of the activity of other organs (e.g. heart, muscle) during aging by studying their related physiological signals (e.g. ECG, EMG).
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30103 - Neurosciences (including psychophysiology)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Fractals
ISSN
0218-348X
e-ISSN
1793-6543
Svazek periodika
31
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
8
Strana od-do
2350011
Kód UT WoS článku
000903948000001
EID výsledku v databázi Scopus
2-s2.0-85145453626