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: Altuwaijri, Ghadir Ali, Muhammad, Ghulam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773854/
https://www.ncbi.nlm.nih.gov/pubmed/35049650
http://dx.doi.org/10.3390/bios12010022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773854/
https://www.ncbi.nlm.nih.gov/pubmed/35049650
http://dx.doi.org/10.3390/bios12010022

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