Key Band Image Sequences and A Hybrid Deep Neural Network for Recognition of Motor Imagery EEG

Deep neural network is a promising method to recognize motor imagery electroencephalography (MI-EEG), which is often used as the source signal of a rehabilitation system; and the core issues are the data representation and the matched neural networks. MI-EEG images is one of the main expressions, ho...

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Detalhes bibliográficos

Principais autores:	Ming-Ai Li, Wei-Min Peng, Jin-Fu Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2021-01-01
coleção:	IEEE Access
Assuntos:	Motor imagery electroencephalography data representation convolutional neural network long short-term memory image sequence
Acesso em linha:	https://ieeexplore.ieee.org/document/9446161/
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