[Mne_analysis] Data structures for comments? (Events? Annotations?)

[arlduc]

Thank you Alexandre, so you would recommend using annotations for this? 
I'm not quite sure what you meant by "to define epochs you need onsets 
so no duration is used so it works with events."

Thanks again
Arlene

On 3/25/18 4:40 PM, Alexandre Gramfort wrote:
> hi,
>
>> We have prepared an MNE Raw dataset from scratch, and it contains EEG and
>> EOG data. We also have manual (written and survey) feedback from
>> participants as they recorded the EEG/EOG, and I'm not quite sure if we
>> should store this manual feedback as Events, Annotations,
> in MNE, events have no duration. it's an integer to condition mapping
> that maps to a trigger channel.
>
> Annotations were introduced later and each entry consists of 3 infos:
> onset, duration and description.
>
> You have 2 big differences:
> - onset is in seconds in absolution time (no need to change if your
> resample the data)
> - duration is in second
> - description can be any string.
>
> to define epochs you need onsets so no duration is used so it works with events.
>
> HTH
> Alex
>
>
>> a Raw object event
>> channel, or something else. We would of course like to be able to compare
>> the EEG/EOG against the manual feedback.
>>
>> Any suggestions are greatly appreciated. I've included some manual feedback
>> data samples below, in case that helps.
>> Thanks,
>> Arlene
>>
>> ----
>>
>> For the surveys, participants recorded their perceived level of attention,
>> stress, engagement, relaxation, and activity type. The data looks like this
>> (as you can see, it has multiple timestamps):
>> 13:46:18,2018-02-08 {stress:5, comments:"", attention:6,
>> timestamp:1504791858.073317, engagement:5, relaxation:5, activity_type:walk}
>>
>> Here is what the data looks like with a written comment:
>> 19:24:50,2018-01-15 {stress: 5, comments:"I'm sleepy and need some
>> caffeine", attention:6, timestamp: 1505073050.459007, engagement: 5,
>> relaxation: 6, activity_type:bike}
>>
>>
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