Pilot study on analysis of electroencephalography signals from children with FASD with the implementation of naive bayesian classifiers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10249415" target="_blank" >RIV/61989100:27240/22:10249415 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/22/1/103" target="_blank" >https://www.mdpi.com/1424-8220/22/1/103</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s22010103" target="_blank" >10.3390/s22010103</a>
Alternative languages
Result language
angličtina
Original language name
Pilot study on analysis of electroencephalography signals from children with FASD with the implementation of naive bayesian classifiers
Original language description
In this paper Naive Bayesian classifiers were applied for the purpose of differentiation between the EEG signals recorded from children with Fetal Alcohol Syndrome Disorders (FASD) and healthy ones. This work also provides a brief introduction to the FASD itself, explaining the social, economic and genetic reasons for the FASD occurrence. The obtained results were good and promising and indicate that EEG recordings can be a helpful tool for potential diagnostics of FASDs children affected with it, in particular those with invisible physical signs of these spectrum disorders. (C) 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors
ISSN
1424-8220
e-ISSN
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Volume of the periodical
22
Issue of the periodical within the volume
103
Country of publishing house
CH - SWITZERLAND
Number of pages
12
Pages from-to
nestrankovano
UT code for WoS article
000752286100001
EID of the result in the Scopus database
2-s2.0-85121587637