[Mne_analysis] Analysis of continuous data without epochs

[Chris Holdgraf]

It sounds like trying out `EpochsArray` might be a solution. You'd need to
make sure each session is the same length but it'd let you browse them
relatively easily. Another option would be to treat the multiple sessions
as different channels (even though they're the same channels being
recorded). This way you could continuously display multiple sessions at
once (e.g., you could call your channels `channel_1_session_1` and
`channel_1_session_2` to plot them side by side)
-- 

On Mon, Aug 14, 2017 at 8:08 AM <rebecca at neurosphere.io> wrote:

> Hi,
>
> I am a relative beginner with MNE (and EEG) and I don't know what's the
> recommended way to deal with continuous data. I'm using a sort of
> homebuilt 2-channel system, and I have whole data "sessions" (a few
> minutes long for each file) where I am trying to plot the alpha over
> time. There are no epochs or events to speak of, so I'm not sure if I
> should just mark each session as a whole epoch, and then run time-freq
> analysis on each one separately? So far, I just import my data, create a
> Raw object+info, then filter for alpha. But I'd like to plot alpha over
> time in a relatively smooth manner, to be able to compare "sessions",
> not cut my data up into events. Any suggestions are appreciated! Thank
> you!
>
> Sincerely,
> Rebecca
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