[Mne_analysis] Epochs on data with no events

[Mikołaj Magnuski]

Right, but if you are using make_fixed_length_events + Epochs, remember to
set baseline=None, otherwise every first sample of your epochs will be zero.

19 paź 2016 3:06 PM "Eric Larson" <larson.eric.d at gmail.com> napisał(a):

> However, keep in mind that private functions (those that start with `_`)
> are not recommended for public use, as they can change behavior or be
> removed at any time without the changes being documented or going through a
> deprecation cycle. So it is safer to use the public function
> `make_fixed_length_events` to make events, and pass those the events to the
> `Epochs` constructor.
>
> Eric
>
>
> On Wed, Oct 19, 2016 at 8:12 AM, Mikołaj Magnuski <mmagnuski at swps.edu.pl>
> wrote:
>
>> You could also use _segment_raw which works like this:
>>
>> from mne.epochs import _segment_raw
>> epochs = _segment_raw(raw, 10.)
>>
>> ​
>>
>> 2016-10-18 14:11 GMT+02:00 Lasse Balmer Hansen <s147490 at student.dtu.dk>:
>>
>>>
>>> Hi,
>>>
>>> I'm trying to analyse data with no events (eyes closed, EEG) and I'm
>>> trying to segment the data series into 10sec segments (named epochs in
>>> my references). I tried the Epochs method but it requires events and I
>>> can't find any other methods doing this.
>>>
>>> Is there any way to do this in mne? And if not, is there a way to
>>> convert the data to the epoch-object from SciPy or will I have to do it
>>> all in SciPy?
>>>
>>> Thanks,
>>> Lasse
>>> _______________________________________________
>>> Mne_analysis mailing list
>>> Mne_analysis at nmr.mgh.harvard.edu
>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>>>
>>>
>>> The information in this e-mail is intended only for the person to whom
>>> it is
>>> addressed. If you believe this e-mail was sent to you in error and the
>>> e-mail
>>> contains patient information, please contact the Partners Compliance
>>> HelpLine at
>>> http://www.partners.org/complianceline . If the e-mail was sent to you
>>> in error
>>> but does not contain patient information, please contact the sender and
>>> properly
>>> dispose of the e-mail.
>>>
>>>
>>
>> ------------------------------
>>
>> _______________________________________________
>> Mne_analysis mailing list
>> Mne_analysis at nmr.mgh.harvard.edu
>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>>
>>
>> The information in this e-mail is intended only for the person to whom it
>> is
>> addressed. If you believe this e-mail was sent to you in error and the
>> e-mail
>> contains patient information, please contact the Partners Compliance
>> HelpLine at
>> http://www.partners.org/complianceline . If the e-mail was sent to you
>> in error
>> but does not contain patient information, please contact the sender and
>> properly
>> dispose of the e-mail.
>>
>>
>
> _______________________________________________
> Mne_analysis mailing list
> Mne_analysis at nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>
>
> The information in this e-mail is intended only for the person to whom it
> is
> addressed. If you believe this e-mail was sent to you in error and the
> e-mail
> contains patient information, please contact the Partners Compliance
> HelpLine at
> http://www.partners.org/complianceline . If the e-mail was sent to you in
> error
> but does not contain patient information, please contact the sender and
> properly
> dispose of the e-mail.
>
>

-- 

------------------------------
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20161019/96477e5d/attachment.html