학술논문
Influence of the variables describing brain signals on the performance of the Naive Bayesian Classifier
Document Type
Conference
Author
Source
2022 Progress in Applied Electrical Engineering (PAEE) Applied Electrical Engineering (PAEE), 2022 Progress in. :1-5 Jun, 2022
Subject
Language
Abstract
In this paper various variables describing brain signals such as near-infrared spectroscopy (NIRS) and electroencephalography (EEG) on the Naive Bayesian Classifier were presented. Analysis of biomedical signals is a very challenging task – therefore the authors of this work decided to analyse two types of brain signals – EEG and NIRS, which have different features, character, nature and are differently prone to various artifacts occurrence. The applied classifiers can be applied for various features extraction and pattern comparisons, which is useful in diagnostic processes.