Event's based Classification

[Star (Arjun Rajan)]

Hi,

The dataset contains recording of 14 channels and their event/class. There are totally 4 classes: listening, writing, resting etc…
ok.

Event's based Classification

According to our glossary entry, stim channels only have values >= 0. This probably explains why only events with codes 1 and 2 are being considered. https://mne.tools/dev/glossary.html#term-stim-channel

Then it should be 0 ,1 and 2 events right. If the events are 1 and 2 only, then also all the events of 1 and 2 are not being considered.

Yes it fluctuates so much that’s the reason I’m think of doing this (the below one).
Any idea for this:

Plotting Frequency band for each Channels to extract Information

Hi, The dataset contains recording of 14 channels and their event/class. There are totally 4 classes among which listening and resting are two. I want to predict the 4 classes based on the 14 EEG channels and see which frequency band influence the result more. And also mne.find_events only detects two classes and not sure which two classes they represent. Is there a way to do this? Thanks

Thanks