[Mne_analysis] high pass filtering

[Eric Larson]

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_background_filtering.html

You might in particular be interested in the pitfalls related to
high-passing:

https://mne-tools.github.io/stable/auto_tutorials/plot_background_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
>
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