{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Plot instantaneous heart rate\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 bokeh.io import output_notebook\nfrom bokeh.plotting import show\nfrom systole.plots import plot_rr\n\nfrom systole import import_rr"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Plot instantaneous heart rate from a RR interval time series (in milliseconds).\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# Import R-R intervals time series\nrr = import_rr().rr.values\n\nplot_rr(rr=rr, input_type=\"rr_ms\");"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Only show the interpolated instantaneous heart rate, add a bad segment and change the default unit to beats per minute (BPM).\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "plot_rr(rr=rr, input_type=\"rr_ms\", unit=\"bpm\", points=False);"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Use Bokeh as a plotting backend, only show the scatterplt and highlight artefacts in the RR intervals\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "output_notebook()\n\nshow(\n    plot_rr(\n    rr=rr, input_type=\"rr_ms\", backend=\"bokeh\", \n    line=False, show_artefacts=True\n    )\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
}