[Mne_analysis] Wavelet Features Extraction
Badar Almarri
badar.almarri at uconn.edu
Tue Aug 7 16:35:43 EDT 2018
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Thank you, all!
Best,
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>
On Mon, Aug 6, 2018 at 6:06 PM Rodrigo Ramele <rramele at gmail.com> wrote:
> 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
> <https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.jneurosci.org%2Fcontent%2F36%2F12%2F3399.short&data=02%7C01%7Cbadar.almarri%40uconn.edu%7C9c73384d68ff4be056f308d5fbe8d41e%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C636691899775582174&sdata=zEQ0reVxA34kzVzyZZES3vLBFyBSigBk1SzKhDw8Vvc%3D&reserved=0>
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> Your regards!
>
>
> 2018-08-03 20:53 GMT-03:00 Mainak Jas <mainakjas at gmail.com>:
>
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>>
>> 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
>> <https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmne-tools.github.io%2Fmne-features%2Fapi.html&data=02%7C01%7Cbadar.almarri%40uconn.edu%7C9c73384d68ff4be056f308d5fbe8d41e%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C636691899775592192&sdata=AY6NUgNVywCBXMEZRlJGQWZ21hEpOBk3qEATnYhlKIM%3D&reserved=0>
>> .
>>
>> 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
>>>
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