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...

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書誌詳細

主要な著者:	Shaorong Zhang, Zhibin Zhu, Benxin Zhang, Bao Feng, Tianyou Yu, Zhi Li
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2020-08-01
シリーズ:	Sensors
主題:	brain-computer interface (BCI) electroencephalogram (EEG) motor imagery common spatial pattern (CSP) feature extraction feature selection
オンライン･アクセス:	https://www.mdpi.com/1424-8220/20/17/4749
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