Pilot study on analysis of electroencephalography signals from children with FASD with the implementation of naive bayesian classifiers

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Pilot study on analysis of electroencephalography signals from children with FASD with the implementation of naive bayesian classifiers

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Pilot study on analysis of electroencephalography signals from children with FASD with the implementation of naive bayesian classifiers

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Sensors

ISSN

1424-8220

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

103

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

12

Strana od-do

nestrankovano

Kód UT WoS článku

000752286100001

EID výsledku v databázi Scopus

2-s2.0-85121587637