St. Louis Children Hospital, 31-503 Krakow, Poland.
Department of Pathophysiology, Jagiellonian University in Krakow-Collegium Medicum, 31-121 Krakow, Poland.
Sensors (Basel). 2021 Dec 24;22(1):103. doi: 10.3390/s22010103.
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.
本文应用朴素贝叶斯分类器对胎儿酒精谱系障碍（FASD）儿童和健康儿童的脑电图信号进行区分。本文还简要介绍了 FASD 本身，解释了 FASD 发生的社会、经济和遗传原因。研究结果良好且有前景，表明脑电图记录可能有助于对受影响的 FASD 儿童进行潜在诊断，特别是那些具有这些谱系障碍的无形身体迹象的儿童。
