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Multi-information improves the performance of CCA-based SSVEP classification

Xiangguo Yin1,2, Mingxing Lin1

  • 1National Demonstration Center for Experimental Mechanical Engineering Education (Shandong University), Key La-boratory of High-efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engi-neering, Shandong University, Jinan, 250061 China.

Cognitive Neurodynamics
|February 26, 2024
PubMed

Keywords:
Canonical correlation analysis (CCA)Filter bankIndividual informationSteady-state visual evoked potential (SSVEP)Temporal information

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