[Eeglablist] evaluation of artifact removal performance
cfera2922 at sdsu.edu
Sat Jan 16 14:13:13 PST 2021
Given a dataset which includes both EMG and EOG artifacts and
reference channels I would like to make a comparison of artifact removal
algorithms from two perspectives.
Perspective 1 would be the performance of the removal algorithm in terms of
its ability to remove artifacts and perspective 2 would be the performance
of the removal algorithm in terms of its ability to NOT remove desired EEG
The method I had in mind was to identify artifact epochs, and then
calculate the correlation coef between the reference channels and EEG
channels before and after artifact removal (for perspective 1) a lower
correlation should indicating better artifact removal. Perspective 2 would
be similar but instead would compare between unmodified EEG channels and
channels with artifacts removed except that it would be during epochs
without identified artifacts.
In pursuing this, I am wondering if EEG lab has a function or plugin that
can identify artifacts epochs given a reference channel.
Second question; does anyone have any recommendations for better ways to do
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