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Research on Unsupervised Classification Algorithm Based on SSVEP

Filter Bank Canonical Correlation Analysis (FBCCA) is used to classify electroencephalography (EEG) signals to overcome insufficient training data for EEG signal classification. This approach is not constrained by the training data or time and also performs unsupervised Steady-State Visual Evoked Po...

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Principais autores: Yingnian Wu, Rui Yang, Wenbai Chen, Xin Li, Jiaxin Niu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-08-01
Serier:Applied Sciences
Fag:
BCI
SSVEP
unsupervised classification
FBCCA
Online adgang:https://www.mdpi.com/2076-3417/12/16/8274
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