[Mne_analysis] Basic Question (I think)

[Alexandre Gramfort]

hi Pablo,

are these questions still relevant after your progress on github?

A

On Fri, May 27, 2016 at 10:26 PM, Pablo Brusco <pablo.brusco at gmail.com> wrote:
> Hi,
>
> 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
> http://habla.dc.uba.ar/
>
>
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