Closed stonekate closed 4 years ago
If you do this,
eeg_ica_summary_tbl(eegica %>% eeg_filt_band_pass(EOGV, EOGH, freq = c(.1, 30)))
You'll notice that ICA9 and ICA10 have high correlations with the eye channels, then you can do this
plot_components(eegica, c("ICA10","ICA9"))
and it's clear to me that these are good candidates. Ploting all the components at the same time might be a bit problematic, the scale is fine, but it's just that the colors are hard to distinguish.
One other thing is that you re-reference to M1-M2, this should be done before the ICA. Maybe this is also a problem.
It seems to me that this is working, if Brainvision/MNE makes a much better job, feel free to open another issue comparing their performance.
In any case, thanks for checking this stuff!
Hey Bruno, as mentioned the other day (week?) I've run eeg_ica and plotted the results using plot_components(), which doesn't show any blink-like components. However, when I do artifact rejection, it finds some obvious blinks. Maybe I'm not setting something right? But just in case something else is going on, I've put an annotated R script and relevant datasets are in Dropbox/eeguana_questions