[Mne_analysis] Basic Question (I think)
alexandre.gramfort at telecom-paristech.fr
Sat Jun 4 08:16:05 EDT 2016
are these questions still relevant after your progress on github?
On Fri, May 27, 2016 at 10:26 PM, Pablo Brusco <pablo.brusco at gmail.com> wrote:
> We have an experiment that we started with EEGLAB and now we are migrating
> to MNE.
> Something like building a classifier to distinguish subjects that are
> "listening" vs "speaking".
> At this point, we have one file (.set and .fdt) by condition
> (listening/speaking) that contains several epochs for that condition.
> In each epoch, we have only one event that matters for the time serie at
> certain time, always the same (t=1.5 for example).
> The thing is, I'm trying to create an Epochs object (maybe an `_BaseEpochs`)
> to visualize / experiment with the data.
> So, after using `mne.io.read_epochs_eeglab(set_filename)` I can see that the
> events have no sense to me..
> The question is,
> Is it reasonable to have 1 event per epoch? or should it be 1 event for the
> hole "Epochs" object?
> And then, whats the way I can combine all this data? (I'm currently using
> `mne.concatenate_epochs([listening_epochs, speaking_epochs])`)
> For example, imagine I have 100 epochs for the class listening, and 200
> epochs for the class speaking.
> After I concatenate the epochs, should I have this 2 events?
> [(1000 0 1), (1000 0 2)]
> (lets say 1000 is the frame corresponding to the event at time 1.5 secs, 1
> is the event id for speaking and 2 for listening)
> or should I have 300 events?
> [(1000 0 1)]*100 + [(1000 0 2)]*200
> I'm new at EEG so maybe I'm missing a simple detail.
> Thanks a lot.
> Pablo Brusco
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> Mne_analysis at nmr.mgh.harvard.edu
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