Preproccesing with 8-channel EEG

Hi everyone!

I have been using MNE python for a while for now, mostly for the classic 64-channels data. However, now I am runnung a project using 8 dry electrodes with no EOG. I am facing an expected issue at the ICA step. I am mostly interested in activity at channels F3 and F4, surely I can’t use ICA on only 8 channels to remove eye movemnets, I am loosing a lot of data. I also can’t use any of those channels as a EOG. Are there any other methods of revoming blink artifacts? My data is continuous, I can’t epoch it, the only thing I have done is filtering (1-40).

Really looking forward for any suggestions! Thank you in advance

Hi,

What kind of issue are you facing ?

Hi,

If the artifact is more prominent in some channel(s) maybe you can still use a regression ? (example here)

Cheers,