Epoch() classifies all epochs as "bad"

✉️ Mailing List Archive (read-only)
1

External Email - Use Caution

Dear list,

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.

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).

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.

I have also tried the same code on different datasets, but it always
discards all epochs, no matter what.

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?

Thanks!
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20180529/a9e030f8/attachment.html

2

Dear Daniel,

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.

best,
Marijn.

        External Email - Use Caution

Dear list,

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.

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).

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.

I have also tried the same code on different datasets, but it always discards all epochs, no matter what.

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?

Thanks!

_______________________________________________
Mne_analysis mailing list
Mne_analysis at nmr.mgh.harvard.edu
Mne_analysis Info Page

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
MyComplianceReport.com: Compliance and Ethics Reporting . 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 --------------
A non-text attachment was scrubbed...
Name: smime.p7s
Type: application/pkcs7-signature
Size: 1386 bytes
Desc: not available
Url : http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20180529/f74eece7/attachment.bin
-------------- next part --------------
        External Email - Use Caution
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20180529/f74eece7/attachment.html