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

[Eric Larson]

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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