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Electroencephalogram-Based Motor Imagery Classification Using Deep Residual Convolutional Networks

The classification of electroencephalogram (EEG) signals is of significant importance in brain-computer interface (BCI) systems. Aiming to achieve intelligent classification of motor imagery EEG types with high accuracy, a classification methodology using the wavelet packet decomposition (WPD) and t...

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Detalles Bibliográficos
Autores principales:	Huang, Jing-Shan, Liu, Wan-Shan, Yao, Bin, Wang, Zhan-Xiang, Chen, Si-Fang, Sun, Wei-Fang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635693/ https://www.ncbi.nlm.nih.gov/pubmed/34867174 http://dx.doi.org/10.3389/fnins.2021.774857

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