A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification

Automatic high-level feature extraction has become a possibility with the advancement of deep learning, and it has been used to optimize efficiency. Recently, classification methods for Convolutional Neural Network (CNN)-based electroencephalography (EEG) motor imagery have been proposed, and have a...

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Detalles Bibliográficos

Autores principales:	Ghadir Ali Altuwaijri, Ghulam Muhammad
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2022-01-01
Colección:	Biosensors
Materias:	electroencephalography (EEG) motor imagery (MI) deep learning (DL) Convolutional Neural Networks (CNN) brain computer interfaces (BCI)
Acceso en línea:	https://www.mdpi.com/2079-6374/12/1/22
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