[Mne_analysis] Bipolar EEG and Epochs rejection

[Phillip Alday]

I don't think there's a way to do this via the Epochs constructor. There
are two questions I have:

(1) Did BVA use  peak-to-peak and or absolute threshold? I'm guessing
absolute (see next question), but the Epochs constructor uses peak-to-peak.

(2) Did you mean mV (1e-3) or µV (1e-6)? You use mV in your text, but
the scaling in your example is µV.

If you want absolute thresholds and not peak-to-peak, checkout
philistine.abs_threshold. Assuming you want mV

https://philistine.readthedocs.io/en/latest/api/philistine.mne.abs_threshold.html

epochs = ....

hmask = abs_threshold(epochs.copy().pick("HEOG"), 30e-3, eog=True)

vmask = abs_threshold(epochs.copy().pick("VEOG"), 120e-3, eog=True)

eye_mask = np.logical_or(hmask, vmask)

epochs.drop(eye_mask, reason="EOG")

(note that I'm the author of philistine)

Best,

Phillip

On 18/03/2020 16:53, pie.min at libero.it wrote:
>
>         External Email - Use Caution        
>
> Goodmorning,
>
> I am new to python and MNE.
>
> I am trying to replicate a brain vision analyzer pre-processing in
> MNE. In this pre-processing authors rejected epochs in which
> horizontal EOG exceeded 30 mV and/or vertical EOG exceeded 60 mV. I'm
> trying to achieve this result using the command mne.Epochs. However,
> in the reject dictionary I don't know how to specify this "double
> condition".
>
> Ideally I would to write somenthing like that:
>
> reject = dict(eeg = 160e-6, ["VEOG"] = 120e-6, ["HEOG"] = 30e-6)
>
> epochs = mne.Epochs(raw, events=events[0], event_id=[71, 72],
> tmin=-0.1, tmax=0.6, proj=True, baseline=(-0.1,0), reject=reject,
> preload=True)
>
> However in reject dictionary, if I understood correctly, I can only
> use one key 'eog'.
>
> Thank you very much for your help,
> Any advice will be usefull,
> Bests,
> Pietro
>
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