Enhancing detection of SSVEP-based BCIs via a novel temporally local canonical correlation analysis

• Published in: Journal of neuroscience methods Vol. 414; p. 110325
• Main Authors: Xia, Guoxian, Wang, Li, Xiong, Shiming, Deng, Jiaxian
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.02.2025
• Subjects: Adult; Algorithms; Brain - physiology; Brain-computer interface (BCI); Brain-Computer Interfaces; Canonical correlation analysis (CCA); Electroencephalography - methods; Evoked Potentials, Visual - physiology; Female; Humans; Male; Signal Processing, Computer-Assisted; Steady-state visual evoked potential (SSVEP); Temporally information; Training data-driven; Young Adult; Temporally information; Brain-computer interface (BCI); Steady-state visual evoked potential (SSVEP); Training data-driven; Canonical correlation analysis (CCA)

In recent years, spatial filter-based frequency recognition methods have become popular in steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems. However, these methods are ineffective in suppressing local noise, and they rely on the length of the data. In practic...