Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Spatial Filtering Based on Canonical Correlation Analysis for Classification of Evoked or Event-Related Potentials in EEG Data #89

Open
jinglescode opened this issue Jul 23, 2021 · 0 comments

Comments

@jinglescode
Copy link
Owner

Paper

Link: https://ieeexplore.ieee.org/document/6671441
Year: 2014

Summary

  • to increase classification accuracy, spatial filters are used to improve the signal-to-noise ratio of the brain signals and thereby facilitate the detection and classification of SSVEP and other VEPs

Results

  • spatial filter generated by CCA provide the highest accuracy
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant