<div dir="ltr"><div><div>Hi Maryam,<br><br></div>Do you know about autoreject: <a href="http://autoreject.github.io/">http://autoreject.github.io/</a>? Does it do the job for you?<br><br></div>Mainak<br><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Nov 21, 2017 at 3:16 AM, Maryam Mokhberi <span dir="ltr"><<a href="mailto:mokhberimaryam@gmail.com" target="_blank">mokhberimaryam@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi all, <div><br></div><div>I am using mne to process some EEG data which I have collected from participants performing an oddball task. As might be expected, some of my channels are noisy in some part of the epoched data and I want to reject them. What I understand from MNE is that I can reject bad channels based on peak-to-peak amplitude by setting reject parameter when using "mne.Epochs" to epoch the data. This is very cool, but this rejects the whole epoch containing this noisy channel and throws out the data of good channels as well. The other possible way is to mark a channel as "bad" and then epoch the data from the remaining channels. The problem of this latter way is that some channels are noisy only in some part of the experiment and not in all the session.</div><div>My question is if there is any way to reject only bad channels in an epoch (instead of rejecting the whole epoch or rejecting a channel in the whole session)? </div><div><br></div><div>Thanks a lot, </div><span class="HOEnZb"><font color="#888888"><div>Maryam</div><div><br></div><div><br>-- <br><div class="m_5987987294147663151gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><span style="background-color:rgb(255,255,255)"><font color="#0b5394">Maryam</font> </span><font color="#0b5394">Mokhberi</font></div><div dir="ltr"><font color="#0b5394">MASc Candidate<br>Institute of Biomaterials and Biomedical Engineerin</font><span style="color:rgb(11,83,148);font-size:12.8px">g</span></div><div><span style="color:rgb(11,83,148);font-size:12.8px">University of Toronto</span></div><div><br></div><div dir="ltr"><br></div></div></div></div></div></div></div></div></div></div>
</div></font></span></div>
<br>______________________________<wbr>_________________<br>
Mne_analysis mailing list<br>
<a href="mailto:Mne_analysis@nmr.mgh.harvard.edu">Mne_analysis@nmr.mgh.harvard.<wbr>edu</a><br>
<a href="https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis" rel="noreferrer" target="_blank">https://mail.nmr.mgh.harvard.<wbr>edu/mailman/listinfo/mne_<wbr>analysis</a><br>
<br>
<br>
The information in this e-mail is intended only for the person to whom it is<br>
addressed. If you believe this e-mail was sent to you in error and the e-mail<br>
contains patient information, please contact the Partners Compliance HelpLine at<br>
<a href="http://www.partners.org/complianceline" rel="noreferrer" target="_blank">http://www.partners.org/<wbr>complianceline</a> . If the e-mail was sent to you in error<br>
but does not contain patient information, please contact the sender and properly<br>
dispose of the e-mail.<br>
<br></blockquote></div><br></div></div>