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Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network

EEG pattern recognition is an important part of motor imagery- (MI-) based brain computer interface (BCI) system. Traditional EEG pattern recognition algorithm usually includes two steps, namely, feature extraction and feature classification. In feature extraction, common spatial pattern (CSP) is on...

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Detalles Bibliográficos
Autores principales: Miao, Minmin, Hu, Wenjun, Yin, Hongwei, Zhang, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387988/
https://www.ncbi.nlm.nih.gov/pubmed/32765639
http://dx.doi.org/10.1155/2020/1981728