A Multi-Branch Convolutional Neural Network with Squeeze-and-Excitation Attention Blocks for EEG-Based Motor Imagery Signals Classification

Electroencephalography-based motor imagery (EEG-MI) classification is a critical component of the brain-computer interface (BCI), which enables people with physical limitations to communicate with the outside world via assistive technology. Regrettably, EEG decoding is challenging because of the com...

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Main Authors: Ghadir Ali Altuwaijri, Ghulam Muhammad, Hamdi Altaheri, Mansour Alsulaiman
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-04-01
Colecção:Diagnostics
Assuntos:
attention network
brain-computer interfaces
convolutional neural networks
deep learning
electroencephalography
motor imagery
Acesso em linha:https://www.mdpi.com/2075-4418/12/4/995
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