[Mne_analysis] Applying MNE to other kinds of time-series data

[Dan McCloy]

        External Email - Use Caution        

MNE-Python has a class RawArray
<https://martinos.org/mne/stable/generated/mne.io.RawArray.html?highlight=rawarray>
which can be used to construct a Raw object from array data.  See examples
here
<https://martinos.org/mne/stable/auto_examples/io/plot_objects_from_arrays.html>
and here
<https://martinos.org/mne/stable/auto_tutorials/plot_creating_data_structures.html>
.

On Mon, Mar 11, 2019 at 11:18 AM Zhi Li <lizhi.psych at gmail.com> wrote:

>         External Email - Use Caution
>
> Dear MNE experts,
>
> I would like to apply MNE to whiten times-series data which were saved as
> .cvs, rather than .fif. However, in the demo code "b, a =
> fit_iir_model_raw
> <https://martinos.org/mne/stable/generated/mne.time_frequency.fit_iir_model_raw.html#mne.time_frequency.fit_iir_model_raw>
> (raw, order=order, picks=picks, tmin=60, tmax=180)" , the raw refers to
> the raw fif file, right? May I ask how should I transform the format from
> cvs to fif, or if 'fit_iir_model_raw' could recognize data matrix directly?
> The data matrix now I have is a small matrix, such as 300 x 300. Any
> suggestions would be much appreciated.
>
> Best regards,
>
> Lizhi
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