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

[Ralf Gommers]

On Sat, Mar 17, 2018 at 11:39 AM, Bennet Fauber <bennet at umich.edu> wrote:

> This sounds like it would be a very good example.
>


agreed

>
>
> 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!
>

If you can get away with a smaller size that would be useful, but I'm okay
with up to 500 kb.

Ralf



> >
> > 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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