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...

Descripción completa

Detalles Bibliográficos
Autores principales: Altuwaijri, Ghadir Ali, Muhammad, Ghulam, Altaheri, Hamdi, Alsulaiman, Mansour
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032940/
https://www.ncbi.nlm.nih.gov/pubmed/35454043
http://dx.doi.org/10.3390/diagnostics12040995

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032940/
https://www.ncbi.nlm.nih.gov/pubmed/35454043
http://dx.doi.org/10.3390/diagnostics12040995

Ejemplares similares