The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification

The common spatial pattern (CSP) is a very effective feature extraction method in motor imagery based brain computer interface (BCI), but its performance depends on the selection of the optimal frequency band. Although a lot of research works have been proposed to improve CSP, most of these works ha...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Shaorong, Zhu, Zhibin, Zhang, Benxin, Feng, Bao, Yu, Tianyou, Li, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506901/
https://www.ncbi.nlm.nih.gov/pubmed/32842635
http://dx.doi.org/10.3390/s20174749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506901/
https://www.ncbi.nlm.nih.gov/pubmed/32842635
http://dx.doi.org/10.3390/s20174749

Ejemplares similares