[Mne_analysis] high pass filtering

[Mainak Jas]

Also, do not miss out our scripts from the Biomag demo which are also meant
to be educational to some extent:

http://mne-tools.github.io/mne-biomag-group-demo/auto_examples/plot_filter.html#sphx-glr-auto-examples-plot-filter-py

and

http://mne-tools.github.io/mne-biomag-group-demo/auto_examples/plot_fanning.html#sphx-glr-auto-examples-plot-fanning-py

Mainak

On Thu, Oct 20, 2016 at 7:02 PM, Dan McCloy <drmccloy at uw.edu> wrote:

> This paper is also a good resource on filtering ERP data:
>
> @article{TannerEtAl2015,
>   title = {How Inappropriate High-Pass Filters Can Produce Artifactual
> Effects and Incorrect Conclusions in {ERP} Studies of Language and
> Cognition},
>   volume = {52},
>   shorttitle = {High-Pass Filtering and Artifactual {{ERP}} Effects},
>   doi = {10.1111/psyp.12437},
>   number = {8},
>   urldate = {2015-10-27},
>   journal = {Psychophysiology},
>   author = {Tanner, Darren and Morgan-Short, Kara and Luck, Steven J.},
>   month = aug,
>   year = {2015},
>   pages = {997--1009}
> }
>
>
>
>
> On Thu, Oct 20, 2016 at 9:40 AM, Eric Larson <larson.eric.d at gmail.com>
> wrote:
>
>> There has been quite a bit of discussion about high-pasing lately. Have
>> you looked at the filtering tutorial in MNE-Python?
>>
>> https://mne-tools.github.io/stable/auto_tutorials/plot_backg
>> round_filtering.html
>>
>> You might in particular be interested in the pitfalls related to
>> high-passing:
>>
>> https://mne-tools.github.io/stable/auto_tutorials/plot_backg
>> round_filtering.html#some-pitfalls-of-filtering
>>
>> Recent publications suggest that the appropriate choice of high-pass
>> involves choosing tradeoffs based on the expected signal and noise
>> characteristics of your recording, so unfortunately I don't know of a
>> single best answer.
>>
>> Eric
>>
>>
>> On Thu, Oct 20, 2016 at 12:27 PM, Rezvan Farahi <rezvan.farahi at gmail.com>
>> wrote:
>>
>>> Hi all,
>>> a quick question.
>>> I'm wondering if you'd have suggestion for which high pass filter to use
>>> on the ERP data?
>>> 0.1Hz is common in ERP studies (particularly language that I'm working
>>> on)
>>> But from what I remember from the signal processing text books, 1Hz is
>>> safer regarding the slow drift movement artifacts.
>>> I'm wondering if someone has explored this further and/or has
>>> recommendations?
>>>
>>> Many thanks
>>> Rezvan
>>>
>>> _______________________________________________
>>> 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/20161020/a68da1f3/attachment.html