Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding

Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding

IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding. However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses significant challenges for motor imagery decoding. Sparse regular...

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Bibliographic Details
Main Authors: Shaorong Zhang, Qihui Wang, Benxin Zhang, Zhen Liang, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang, Bao Feng, Tianyou Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Neuroscience
Subjects:
motor imagery
EEG decoding
feature selection
nonconvex regularization
high-dimensional small-sample
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1292724/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1292724/full

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