DECODING OF THE EXTRAOCULAR MUSCLES ACTIVATIONS BY COMPLEXITY-BASED ANALYSIS OF ELECTROMYOGRAM (EMG) SIGNALS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50022392" target="_blank" >RIV/62690094:18450/24:50022392 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.worldscientific.com/doi/10.1142/S0218348X24500671" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X24500671</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X24500671" target="_blank" >10.1142/S0218348X24500671</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
DECODING OF THE EXTRAOCULAR MUSCLES ACTIVATIONS BY COMPLEXITY-BASED ANALYSIS OF ELECTROMYOGRAM (EMG) SIGNALS
Popis výsledku v původním jazyce
The analysis of extraocular muscles' activation is crucial for understanding eye movement patterns, providing insights into oculomotor control, and contributing to advancements in fields such as vision research, neurology, and biomedical engineering. Ten subjects went through the experiments, including normal watching, blinking, upward and downward movements of eyes, and eye movements to the left and right while their electromyogram (EMG) signals were recorded. We analyzed the complexity of recorded EMG signals using fractal theory, sample entropy, and approximate entropy (ApEn). The results showed that the techniques are able to decode the changes in the complexity of EMG signals between different eye movements. In other words, we can use these methods to study extraocular muscle activations in different conditions.
Název v anglickém jazyce
DECODING OF THE EXTRAOCULAR MUSCLES ACTIVATIONS BY COMPLEXITY-BASED ANALYSIS OF ELECTROMYOGRAM (EMG) SIGNALS
Popis výsledku anglicky
The analysis of extraocular muscles' activation is crucial for understanding eye movement patterns, providing insights into oculomotor control, and contributing to advancements in fields such as vision research, neurology, and biomedical engineering. Ten subjects went through the experiments, including normal watching, blinking, upward and downward movements of eyes, and eye movements to the left and right while their electromyogram (EMG) signals were recorded. We analyzed the complexity of recorded EMG signals using fractal theory, sample entropy, and approximate entropy (ApEn). The results showed that the techniques are able to decode the changes in the complexity of EMG signals between different eye movements. In other words, we can use these methods to study extraocular muscle activations in different conditions.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
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
32
Číslo periodika v rámci svazku
03
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
9
Strana od-do
"Article Number: 2450067"
Kód UT WoS článku
001197986200001
EID výsledku v databázi Scopus
2-s2.0-85189950671