.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/Plots/plot_shortlong.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_Plots_plot_shortlong.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_Plots_plot_shortlong.py:


Plot short and long invertvals
==============================

Visualization of short, long, extra and missed intervals detection.

The artefact detection is based on the method described in [1]_.

.. [1] Lipponen, J. A., & Tarvainen, M. P. (2019). A robust algorithm for
    heart rate variability time series artefact correction using novel beat
    classification. Journal of Medical Engineering & Technology, 43(3),
    173–181. https://doi.org/10.1080/03091902.2019.1640306

.. GENERATED FROM PYTHON SOURCE LINES 15-19

.. code-block:: Python


    # Author: Nicolas Legrand <nicolas.legrand@cfin.au.dk>
    # Licence: GPL v3








.. GENERATED FROM PYTHON SOURCE LINES 20-22

Visualizing short/long and missed/extra intervals from a RR time series
-----------------------------------------------------------------------

.. GENERATED FROM PYTHON SOURCE LINES 22-29

.. code-block:: Python

    from systole import import_rr
    from systole.plots import plot_shortlong

    # Import PPG recording as numpy array
    rr = import_rr().rr.to_numpy()

    plot_shortlong(rr)



.. image-sg:: /auto_examples/Plots/images/sphx_glr_plot_shortlong_001.png
   :alt: Subspace 2   (long and short beats detection)
   :srcset: /auto_examples/Plots/images/sphx_glr_plot_shortlong_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    <Axes: title={'center': 'Subspace 2 \n (long and short beats detection)'}, xlabel='Subspace $S_{21}$', ylabel='Subspace $S_{22}$'>



.. GENERATED FROM PYTHON SOURCE LINES 30-32

Visualizing ectopic subspace from the `artefact` dictionary
-----------------------------------------------------------

.. GENERATED FROM PYTHON SOURCE LINES 32-39

.. code-block:: Python

    from systole.detection import rr_artefacts

    # Use the rr_artefacts function to short/long and extra/missed intervals
    artefacts = rr_artefacts(rr)

    plot_shortlong(artefacts=artefacts)




.. image-sg:: /auto_examples/Plots/images/sphx_glr_plot_shortlong_002.png
   :alt: Subspace 2   (long and short beats detection)
   :srcset: /auto_examples/Plots/images/sphx_glr_plot_shortlong_002.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    <Axes: title={'center': 'Subspace 2 \n (long and short beats detection)'}, xlabel='Subspace $S_{21}$', ylabel='Subspace $S_{22}$'>



.. GENERATED FROM PYTHON SOURCE LINES 40-42

Using Bokeh as plotting backend
-------------------------------

.. GENERATED FROM PYTHON SOURCE LINES 42-51

.. code-block:: Python

    from bokeh.io import output_notebook
    from bokeh.plotting import show
    from systole.detection import rr_artefacts
    output_notebook()

    show(
        plot_shortlong(
            artefacts=artefacts, backend="bokeh"
            )
    )







.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.348 seconds)


.. _sphx_glr_download_auto_examples_Plots_plot_shortlong.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_shortlong.ipynb <plot_shortlong.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_shortlong.py <plot_shortlong.py>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_