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mne-tools / mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
https://mne.tools
BSD 3-Clause "New" or "Revised" License
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ENH: Add tutorial on narrowband filters using real data #12458

Closed alexrockhill closed 8 months ago

alexrockhill commented 8 months ago

Describe the new feature or enhancement

I think it would be nice to have an example or tutorial looking at filters on real data in order to look at task-based differences, not just preprocessing.

Describe your proposed implementation

I think people might really benefit from seeing FIR vs IIR and the parameters and their effect on something well documented like movement-related beta in the bci dataset.

Describe possible alternatives

There are other datasets, maybe visual alpha or an auditory biomarker that could make sense.

Additional context

Does this exist anywhere and I'm just missing it? And do others think this would be useful?

I know there is a lot of background on constructing filters and the properties like ringing but as far as I know, I haven't seen that put to a practical example use case.

agramfort commented 8 months ago

maybe a great blog post first?

Message ID: @.***>

alexrockhill commented 8 months ago

Sounds good, will link to it in this issue and then we can decide whether to add it to documentation