Improving Generalization Based on l(1)-Norm Regularization for EEG-Based Motor Imagery Classification

Multichannel electroencephalography (EEG) is widely used in typical brain-computer interface (BCI) systems. In general, a number of parameters are essential for a EEG classification algorithm due to redundant features involved in EEG signals. However, the generalization of the EEG method is often ad...

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Detalles Bibliográficos
Autores principales: Zhao, Yuwei, Han, Jiuqi, Chen, Yushu, Sun, Hongji, Chen, Jiayun, Ke, Ang, Han, Yao, Zhang, Peng, Zhang, Yi, Zhou, Jin, Wang, Changyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5954047/
https://www.ncbi.nlm.nih.gov/pubmed/29867307
http://dx.doi.org/10.3389/fnins.2018.00272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5954047/
https://www.ncbi.nlm.nih.gov/pubmed/29867307
http://dx.doi.org/10.3389/fnins.2018.00272

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