[Eeglablist] artifact detection in continuous data

[James Desjardins]

Dear list members,

For my purposes it is beneficial to reject artifacts in the continuous  
data rather than following segmentation. I find the artifact detection  
tools in EEGLAB extremely helpful when working with segmented data.

I am considering working on a plugin that windows continuous data,  
takes advantage of some of the currently available artifact detection  
tools for segmented data, then translates the windowed rejection  
information back to time intervals in the continuous data.

Are there already methods for doing this... or is this something that  
someone else is already working on?


James Desjardins
Technician, MA Student
Department of Psychology, Behavioural Neuroscience
Cognitive and Affective Neuroscience Lab
Brock University
500 Glenridge Ave.
St. Catharines, ON, Canada
L2S 3A1
905-688-5550 x4676