Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods

Single-trial motor imagery classification is a crucial aspect of brain–computer applications. Therefore, it is necessary to extract and discriminate signal features involving motor imagery movements. Riemannian geometry-based feature extraction methods are effective when designing these types of mot...

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Detalles Bibliográficos
Autores principales: Majidov, Ikhtiyor, Whangbo, Taegkeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479542/
https://www.ncbi.nlm.nih.gov/pubmed/30978978
http://dx.doi.org/10.3390/s19071736

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479542/
https://www.ncbi.nlm.nih.gov/pubmed/30978978
http://dx.doi.org/10.3390/s19071736

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