Application of continuous wavelet transform and support vector machine for autism spectrum disorder electroencephalography signal classification

Application of continuous wavelet transform and support vector machine for autism spectrum disorder electroencephalography signal classification

The article’s subject matter is to classify Electroencephalography (EEG) signals in Autism Spectrum Disorder (ASD) sufferers. The goal is to develop a classification model using Machine Learning (ML) algorithms that are often implemented in Brain-Computer Interfaces (BCI) technology. The tasks to be...

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Bibliographic Details
Main Authors: Melinda Melinda, Filbert H. Juwono, I Ketut Agung Enriko, Maulisa Oktiana, Siti Mulyani, Khairun Saddami
Format: Article
Language:English
Published: National Aerospace University «Kharkiv Aviation Institute» 2023-09-01
Series:Радіоелектронні і комп'ютерні системи
Subjects:
autism spectrum disorder (asd)
continuous wavelet transform (cwt)
electroencephalography (eeg)
support vector machine (svm)
Online Access:http://nti.khai.edu/ojs/index.php/reks/article/view/2104

Internet

http://nti.khai.edu/ojs/index.php/reks/article/view/2104

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