Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery

Common spatial pattern (CSP) is one of the most popular and effective feature extraction methods for motor imagery-based brain-computer interface (BCI), but the inherent drawback of CSP is that the estimation of the covariance matrices is sensitive to noise. In this work, local temporal correlation...

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書誌詳細
主要な著者: Zhang, Rui, Xu, Peng, Liu, Tiejun, Zhang, Yangsong, Guo, Lanjin, Li, Peiyang, Yao, Dezhong
フォーマット: Artigo
言語:Inglês
出版事項: Hindawi Publishing Corporation 2013
主題:
Research Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3853213/
https://ncbi.nlm.nih.gov/pubmed/24348740
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/591216
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