[Mne_analysis] Analysis of continuous data without epochs

[JR KING]

I would favor Chris' first (conventional), but not second (non
conventional) idea (sorry Chris;)).

Additionally, you can directly apply time_frequency decomposition on
raw.get_data(), using the *_array functions which work on numpy arrays.

Finally, if you're on the dev branch, (or willing to wait until the next
releast, which should happens in the next couple of days/weeks), you can
get some inspiration from our new example where we decode continuously
varying data from oscillatory activity:
https://martinos.org/mne/dev/auto_examples/decoding/plot_decoding_spoc_CMC.html

There, we filter the raw signals, and use `make_fixed_length_events` to
segment the continuous raw signal into many small epochs that are easy to
analyze and plot

Hope that helps,

Jean-Rémi

On 14 August 2017 at 17:49, Chris Holdgraf <choldgraf at berkeley.edu> wrote:

> 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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