Classification of motor imagery electroencephalogram signals by using a divergence based convolutional neural network

• Published in: Applied soft computing Vol. 113; p. 107881
• Main Authors: Dokur, Zümray, Olmez, Tamer
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2021
• Subjects: Classification; Convolutional neural network; Data augmentation; EEG; Motor imagery; Data augmentation; Motor imagery; EEG; Convolutional neural network; Classification
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2021.107881

Deep neural networks (DNNs) are observed to be successful in pattern classification. However, the high classification performances of DNNs are related to their large training sets. Unfortunately, in the literature, the datasets used to classify motor imagery (MI) electroencephalogram (EEG) signals c...