A novel untrained SSVEP-EEG feature enhancement method using canonical correlation analysis and underdamped second-order stochastic resonance

A novel untrained SSVEP-EEG feature enhancement method using canonical correlation analysis and underdamped second-order stochastic resonance

ObjectiveCompared with the light-flashing paradigm, the ring-shaped motion checkerboard patterns avoid uncomfortable flicker or brightness modulation, improving the practical interactivity of brain-computer interface (BCI) applications. However, due to fewer harmonic responses and more concentrated...

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Bibliographic Details
Main Authors: Ruiquan Chen, Guanghua Xu, Huanqing Zhang, Xun Zhang, Baoyu Li, Jiahuan Wang, Sicong Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Neuroscience
Subjects:
motion checkerboard patterns
brain-computer interface
canonical correlation analysis
underdamped second-order stochastic resonance
information transmission rate
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1246940/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1246940/full

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