Complexity-based analysis of the variations in skin reaction in different emotional states
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F25%3A00052458" target="_blank" >RIV/29142890:_____/25:00052458 - isvavai.cz</a>
Result on the web
<a href="https://www-worldscientific-com.ezproxy.lib.cas.cz/doi/10.1142/S0218348X25500094" target="_blank" >https://www-worldscientific-com.ezproxy.lib.cas.cz/doi/10.1142/S0218348X25500094</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X25500094" target="_blank" >10.1142/S0218348X25500094</a>
Alternative languages
Result language
angličtina
Original language name
Complexity-based analysis of the variations in skin reaction in different emotional states
Original language description
Analyzing the skin's response to different external conditions is a significant area of research in biomedical engineering. This paper examines the variations in skin activity across different emotional states. We employed the concepts of complexity, calculating the approximate entropy (ApEn) and sample entropy (SampEn) of galvanic skin response (GSR) signals from 12 subjects who were exposed to 21 stimulus videos (three sessions), in total, categorized under six basic emotions: surprise, anger, fear, happiness, sadness, disgust, and an additional neutral state. The results demonstrated significant variations in the complexity of GSR signals across these emotional states. The methodology used in this study can also be extended to analyze other physiological signals, such as EEG, EMG, and ECG, to potentially understand the responses of various organs like the brain, muscles, and heart to different emotional stimuli.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10700 - Other natural sciences
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Fractals - Complex Geometry Patterns and Scaling in Nature and Society
ISSN
0218-348X
e-ISSN
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Volume of the periodical
33
Issue of the periodical within the volume
01
Country of publishing house
SG - SINGAPORE
Number of pages
9
Pages from-to
1-9
UT code for WoS article
001423973600001
EID of the result in the Scopus database
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