Skip to content

tokeefe/eyeclean

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 

Repository files navigation

eyeclean: Automated ICA-based ocular correction algorithm for EEG

Warning

This was my very first open-source software release (originally published circa 2010 on code.google.com). It is now hosted here on GitHub for historical reference. More advanced and robust tools for ocular artifact removal in EEG are now available. Use this project mainly for educational or archival purposes.

eyeClean is a fully-automated, ocular correction (saccades, blinks) algorithm for EEG data, based on second-order blind identification (SOBI ICA) and sliding-window correlations.

Requires EEGLAB SOBI sobi() method.

Generalized to clean any arbitrary Matlab array (e.g. EEG) by input of a known set of artifact timeseries e.g. EOG.

function discard = clean(data,artifact,window,nits,alpha,debug,EEG)

Output: discard - returns IC row indices identified as artifact

Input: data - Matlab array of EEG timeseries artifact - artifact timeseries window - sliding window width nits - number of iterations (to build null hypothesis) alpha - reject probability threshold debug - plot channel topology (requires EEGLAB) EEG - EEGLAB EEG struct

All code written in Matlab.

Acknowledgements

Special thanks to Jerome N. Sanes PhD, Elie Bienenstock PhD, and Rick Archibald PhD.

About

Automated EEG ocular artifact removal

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages