[Mne_analysis] load digitization electrodes

[Edoardo Pinzuti]

I solved with read_montage but I did not understand why  read_dig_montage
did not work.

Thanks a lot for the help



2018-02-13 20:55 GMT+01:00 Teon Brooks <teon.brooks at gmail.com>:

> Hey Edoardo,
>
> There are two possible solutions for this. You can use the `read_montage`
> function and construct an `.hpts` file. It's a four column space delimited
> text file with the given extension. You can set the unit parameter to 'm',
> 'mm', 'cm'. You can then use the `set_montage` as Marijn suggested. Each
> line should be as follow:
>
> eeg Fp1 -95.0 -3. -3
>
> The other solution would be to construct a fif file with the digitized
> electrode information. For this, I don't know how to advise you.
>
> HTH,
>
> On Tue, Feb 13, 2018 at 1:40 AM, Edoardo Pinzuti <
> edoardo.pinzuti at gmail.com> wrote:
>
>> Dear Marijn
>>
>> thanks. Did not help. If I print digitization I see channels 0.   Should
>> the dig montage look different?
>>
>> <DigMontage | 57 extras (headshape), 54 HPIs, 3 fiducials, 0 channels>
>>
>> 2018-02-12 23:27 GMT+01:00 Marijn van Vliet <w.m.vanvliet at gmail.com>:
>>
>>> Hi Edoardo,
>>>
>>> try: epochs.set_montage(digitization, set_dig=True)
>>>
>>> best,
>>> Marijn.
>>>
>>> > On 13 Feb 2018, at 00:50, Edoardo Pinzuti <edoardo.pinzuti at gmail.com>
>>> wrote:
>>> >
>>> > Dear everyone,
>>> >
>>> > I have a problem in loading the digitization of electrode in the
>>> epochs objects.
>>> >
>>> > I created the epochs
>>> > info = create_info(chan_names, sfreq, chan_types )
>>> > epochs = EpochsArray(data, info, events=None, tmin=np.min(time),
>>> verbose=False)
>>> >
>>> > digitization = read_dig_montage(hsp=positions.copy(),
>>> elp=positions.copy(), point_names=labels, unit='mm')
>>> > epochs.set_montage(digitization)
>>> > epochs.plot_sensors()
>>> >
>>> > when I tried to plot:
>>> > I got this error: RuntimeError: Did not find any digitization points
>>> of kind FIFFV_POINT_EEG (3) in the info.
>>> >
>>> > How I can solve this?
>>> >
>>> > Thanks a lot
>>> >
>>> > Edoardo
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>
> --
> teon <http://www.twitter.com/teon_io>, phd
>
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