[SciPy-Dev] Documentation / tutorial for peak finding in scipy.signal

[Bennet Fauber]

This sounds like it would be a very good example.


On Sat, Mar 17, 2018 at 2:26 PM, Eric Larson <larson.eric.d at gmail.com> wrote:
> I agree an ECG signal is a good choice, and better than my suggestion. It'll
> be a lower sample rate than audio, too, so you can get a longer signal in my
> proposed 500k limit.
>
> Let's wait a few days to see if others have thoughts on the signal or its
> size limit, and if there are no complaints, go for it!
>
> Eric
>
>
> On Sat, Mar 17, 2018 at 9:33 AM, Lars G. <lagru at mailbox.org> wrote:
>>
>> On 16.03.2018 20:11, Eric Larson wrote:> How about an entry in the scipy
>> cookbook "Signal Processing" or "Other
>> > examples" sections?
>> >
>> > http://scipy-cookbook.readthedocs.io/
>> >
>> > In the SciPy tutorials area you could do some basic things if you want,
>> > even if they overlap with what is in the docstrings a bit. Then you
>> > could put a link there to the cookbook for a more in-depth example.
>>
>> Sounds reasonable. I'll create a notebook covering a peak finding
>> example and see how it goes. Maybe something based on beat detection in
>> an ECG signal.
>> > We have `face` and `ascent` in `misc` already for 2D signals. I think it
>> > would be nice to have something like this for 1D signals, assuming we
>> > can find one that won't take up a ton of space (< 500kB maybe, since
>> > that's what ascent takes, and `face` takes up 1.5MB?). We don't want to
>> > bloat the repo, but a reasonable sound choice could be used in many
>> > examples.
>> >
>> > The most popular "freesound.org <http://freesound.org>" clip is a
>> > creative-commons licensed thunderstorm recording
>> > <https://freesound.org/people/RHumphries/sounds/2523/>, maybe this could
>> > be made mono, truncated, and/or resampled to be sufficiently small?
>> > Other ideas welcome.
>>
>> Another source might be the Physionet database has an extensive
>> collection of medical signals and is licensed with the "OPC Public
>> Domain Dedication and License" which should be compatible with SciPy's
>> license.
>>
>> http://www.physionet.org/physiobank/database/
>> https://opendatacommons.org/licenses/pddl/1.0/
>>
>> A biosignal like an ECG could be used to demonstrate
>> - frequency based filtering (artifact elimination),
>> - spectral analysis and
>> - beat detection & classification (peak finding & measurement).
>> E.g. a simple task could be to extract the heart rate or systolic /
>> diastolic blood pressure values depending on the signal. This could
>> provide nice and intuitive "real world" examples.
>>
>> If you like this idea I'd be happy to create a PR for this.
>>
>> Best regards,
>> Lars
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>
>
>
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