<p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div dir="ltr"><div>Dear Marijn & List</div><div><br></div><div>Thanks for your suggestion about drop_log. I tried that and also plot_drop_log, and according to that all epochs are either "IGNORED" or "NO_DATA" according to dropped_log. Also, in the plot_drop_log, 100% events are either "NO_DATA" or "TOO_SHORT". <br></div><div><br></div><div>I saw in the documentation that "
‘<span class="gmail-highlighted">NO_DATA</span>’ or ‘TOO_SHORT’ if epoch didn’t contain enough data", but I don't understand what does "didn't contain enough data" mean? I have a 64-channel eeg recording, epochs are ~3seconds long, and epoch markers, timing, amount of epochs, etc. is identified perfectly by the find_events calls. Also, all other pre-processing steps (filtering, bad channel interpolation, re-referencing, etc.) worked just fine.<br></div><div><br></div><div>Thanks in advance for any comments and suggestions,</div><div>Daniel<br></div><div><br></div><div></div><div>PS: Sorry about writing from different emails. I'll make sure that in the future I only use the registered one.<br></div><div><br></div><div>Date: Tue, 29 May 2018 20:01:33 +0300</div>
From: Marijn van Vliet <<a href="mailto:w.m.vanvliet@gmail.com">w.m.vanvliet@gmail.com</a>><br>
Subject: Re: [Mne_analysis] Epoch() classifies all epochs as "bad"<br>
To: Discussion and support Software <<a href="mailto:mne_analysis@nmr.mgh.harvard.edu">mne_analysis@nmr.mgh.harvard.<wbr>edu</a>><br>
Message-ID: <<a href="mailto:3E3699E3-BEAC-40BD-BB15-B9141C4A96F3@gmail.com">3E3699E3-BEAC-40BD-BB15-<wbr>B9141C4A96F3@gmail.com</a>><br>
Content-Type: text/plain; charset="us-ascii"<br>
<br>
Dear Daniel,<br>
<br>
you can try looking at epochs.drop_log after all epochs are dropped. The
drop_log contains for each dropped epoch the reason why it was dropped.<br>
<br>
best,<br><div>
Marijn.</div><div>> On 29 May 2018, at 18:34, Daniel Preciado <<a href="mailto:daniel.preciadov@gmail.com">daniel.preciadov@gmail.com</a>> wrote:<br>
> <br>
> External Email - Use Caution <br>
> <br>
> <br>
> Dear list, <br>
> <br>
> I am having trouble with epoching eeg data. For some reason, the
epoch() call classifies all epochs as bad, and I always end up with an
empty Epochs object. <br>
> <br>
> If I try epoching with "preload=False", it reads correctly the
epochs, and the detected epochs perfectly matching the amount of trials
and other experiment parameters. But whenever I try to do anything with
the Epochs object (e.g. plotting), all events are deleted, and thus
everything else throws zeroDivisionErrors. And if I call back the epochs
object after this, it is empty (epoch counts are set to 0). <br>
> <br>
> I have tried all types of combinations of arguments, but the result
is always the same: It seems to correctly recognize the epochs if the
data is not Preloaded, but everything is discarded if the data is
preloade, or if I try to do anything with the epochs object. I have
tried different things with the arguments, including reject=None,
Baseline=(None, None), preload=False, reject=None, flat=None,
reject_tmin=None, reject_tmax=None, detrend=None, on_missing='error',
metadata=None, verbose=None. I have also tried creating the epochs with
the minimum arguments necessary (Data, Event_data, Event_id), but it is
always the same result. <br>
> <br>
> I have also tried the same code on different datasets, but it always discards all epochs, no matter what. <br>
> <br>
> I do not understand why Epoch() classifies all data (from different
people, different sessions) as bad, can anyone help me to figure this
out, and hopefully fix it?<br>
> <br>
> Thanks!<br>
> <br>
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