Optimal channel-based sparse time-frequency blocks common spatial pattern feature extraction method for motor imagery classification

Optimal channel-based sparse time-frequency blocks common spatial pattern feature extraction method for motor imagery classification

Common spatial pattern (CSP) as a spatial filtering method has been most widely applied to electroencephalogram (EEG) feature extraction to classify motor imagery (MI) in brain-computer interface (BCI) applications. The effectiveness of CSP is determined by the quality of interception in a specific...

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Bibliographic Details
Main Authors: Xu Yin, Ming Meng, Qingshan She, Yunyuan Gao, Zhizeng Luo
Format: Article
Language:English
Published: AIMS Press 2021-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
brain-computer interface
electroencephalogram
motor imagery
common spatial pattern
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2021213?viewType=HTML

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