{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Plot ectopic beats\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# Author: Nicolas Legrand <nicolas.legrand@cfin.au.dk>\n# Licence: Apache-2.0\n\nfrom systole.plots import plot_ectopic"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Visualizing ectopic subspace from RR time series\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from systole import import_rr\n\n# Import PPG recording as numpy array\nrr = import_rr().rr.to_numpy()\n\nplot_ectopic(rr, input_type=\"rr_ms\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Visualizing ectopic subspace from the `artefact` dictionary generated by :py:func:`systole.detection.rr_artefacts()`\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from systole.detection import rr_artefacts\n\n# Use the rr_artefacts function to find ectopic beats\nartefacts = rr_artefacts(rr)\n\nplot_ectopic(artefacts=artefacts)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Using Bokeh as plotting backend\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from bokeh.io import output_notebook\nfrom bokeh.plotting import show\nfrom systole.detection import rr_artefacts\n\noutput_notebook()\n\n# Use the rr_artefacts function to find ectopic beats\nartefacts = rr_artefacts(rr)\nshow(\n    plot_ectopic(artefacts=artefacts, backend=\"bokeh\")\n)"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.16"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}