[Mne_analysis] Wavelet Features Extraction

[Rodrigo Ramele]

        External Email - Use Caution        

Hey hi !

If you are interested in a good explanation of what you will find
extracting features between STFT, Wavelets and eventually MP, check out
this excellent paper: http://www.jneurosci.org/content/36/12/3399.short

Your regards!


2018-08-03 20:53 GMT-03:00 Mainak Jas <mainakjas at gmail.com>:

>         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.
>>
>>
>
> _______________________________________________
> 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/20180806/6e6ac219/attachment.html