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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Dettagli Bibliografici
Pubblicato in:Front Neurosci
Autori principali: Zhao, Yuwei, Han, Jiuqi, Chen, Yushu, Sun, Hongji, Chen, Jiayun, Ke, Ang, Han, Yao, Zhang, Peng, Zhang, Yi, Zhou, Jin, Wang, Changyong
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2018
Soggetti:
Neuroscience
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5954047/
https://ncbi.nlm.nih.gov/pubmed/29867307
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00272
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