[Mne_analysis] Wavelet Features Extraction

[Mainak Jas]

        External Email - Use Caution        

Hi,

If you're interested in feature extraction, you might want to look into
mne-features: https://mne-tools.github.io/mne-features/api.html.

It should fit your needs.

Best,
Mainak

On Fri, Aug 3, 2018 at 5:48 PM, Badar Almarri <badar.almarri at uconn.edu>
wrote:

>         External Email - Use Caution
>
> Greetings,
>
> I use short time Fourier transform to extract features from the
> time-series EEG signals. Now I plan to use Wavelet that I don't have any
> prior experience in.
>
> Can someone provide a Python implementation (or MNE - btw, I couldn't
> digest mne morlet for some reason!)? Also, what output I should expect, and
> what features can be computed from the Wavelet transform output to be ready
> to fit a learner?
>
> A question I would also like to ask those who're concerned about feature
> extraction, why would I use Wavelet over STFT, or vice versa?
>
>
> Thank you,
> Badar Almarri
> Graduate Student
> Dept. of Computer Science and Engr.
> University of Connecticut
> badar.almarri at uconn.edu
> <http://www.linkedin.com/pub/badar-almarri/48/b09/8b8>
>
> _______________________________________________
> Mne_analysis mailing list
> Mne_analysis at nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>
>
> The information in this e-mail is intended only for the person to whom it
> is
> addressed. If you believe this e-mail was sent to you in error and the
> e-mail
> contains patient information, please contact the Partners Compliance
> HelpLine at
> http://www.partners.org/complianceline . If the e-mail was sent to you in
> error
> but does not contain patient information, please contact the sender and
> properly
> dispose of the e-mail.
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20180803/faa25a6d/attachment.html