Pilot Study on Analysis of Electroencephalography Signals from Children with FASD with the Implementation of Naive Bayesian Classifiers

Pilot Study on Analysis of Electroencephalography Signals from Children with FASD with the Implementation of Naive Bayesian Classifiers

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...

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Bibliographic Details
Main Authors: Katarzyna Anna Dyląg, Wiktoria Wieczorek, Waldemar Bauer, Piotr Walecki, Bozena Bando, Radek Martinek, Aleksandra Kawala-Sterniuk
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
digital signal processing
electroencephalography (EEG)
Naive Bayesian classifiers
Fetal Alcohol Spectrum Disorders (FASD)
Online Access:https://www.mdpi.com/1424-8220/22/1/103

Internet

https://www.mdpi.com/1424-8220/22/1/103

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