{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "cf2a2ca5",
   "metadata": {},
   "source": [
    "(instantaneous_heart_rate)=\n",
    "# Instantaneous and evoked heart rate\n",
    "Author: Nicolas Legrand <nicolas.legrand@cfin.au.dk>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "24263369",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:29.039312Z",
     "iopub.status.busy": "2025-04-07T06:29:29.039113Z",
     "iopub.status.idle": "2025-04-07T06:29:29.044633Z",
     "shell.execute_reply": "2025-04-07T06:29:29.043773Z"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "import sys\n",
    "\n",
    "if \"google.colab\" in sys.modules:\n",
    "    !pip install systole"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5a341b77",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:29.047261Z",
     "iopub.status.busy": "2025-04-07T06:29:29.047012Z",
     "iopub.status.idle": "2025-04-07T06:29:30.629225Z",
     "shell.execute_reply": "2025-04-07T06:29:30.628232Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "    <style>\n",
       "        .bk-notebook-logo {\n",
       "            display: block;\n",
       "            width: 20px;\n",
       "            height: 20px;\n",
       "            background-image: url(data:image/png;base64,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);\n",
       "        }\n",
       "    </style>\n",
       "    <div>\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
       "        <span id=\"a3c6e6a7-9d3f-44fe-9f66-5f856450bb57\">Loading BokehJS ...</span>\n",
       "    </div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "'use strict';\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  const force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "const JS_MIME_TYPE = 'application/javascript';\n",
       "  const HTML_MIME_TYPE = 'text/html';\n",
       "  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  const CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    const script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    function drop(id) {\n",
       "      const view = Bokeh.index.get_by_id(id)\n",
       "      if (view != null) {\n",
       "        view.model.document.clear()\n",
       "        Bokeh.index.delete(view)\n",
       "      }\n",
       "    }\n",
       "\n",
       "    const cell = handle.cell;\n",
       "\n",
       "    const id = cell.output_area._bokeh_element_id;\n",
       "    const server_id = cell.output_area._bokeh_server_id;\n",
       "\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null) {\n",
       "      drop(id)\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd_clean, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            const id = msg.content.text.trim()\n",
       "            drop(id)\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd_destroy);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    const output_area = handle.output_area;\n",
       "    const output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      const bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      const script_attrs = bk_div.children[0].attributes;\n",
       "      for (let i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      const toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    const events = require('base/js/events');\n",
       "    const OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  const NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded(error = null) {\n",
       "    const el = document.getElementById(\"a3c6e6a7-9d3f-44fe-9f66-5f856450bb57\");\n",
       "    if (el != null) {\n",
       "      const html = (() => {\n",
       "        if (typeof root.Bokeh === \"undefined\") {\n",
       "          if (error == null) {\n",
       "            return \"BokehJS is loading ...\";\n",
       "          } else {\n",
       "            return \"BokehJS failed to load.\";\n",
       "          }\n",
       "        } else {\n",
       "          const prefix = `BokehJS ${root.Bokeh.version}`;\n",
       "          if (error == null) {\n",
       "            return `${prefix} successfully loaded.`;\n",
       "          } else {\n",
       "            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n",
       "          }\n",
       "        }\n",
       "      })();\n",
       "      el.innerHTML = html;\n",
       "\n",
       "      if (error != null) {\n",
       "        const wrapper = document.createElement(\"div\");\n",
       "        wrapper.style.overflow = \"auto\";\n",
       "        wrapper.style.height = \"5em\";\n",
       "        wrapper.style.resize = \"vertical\";\n",
       "        const content = document.createElement(\"div\");\n",
       "        content.style.fontFamily = \"monospace\";\n",
       "        content.style.whiteSpace = \"pre-wrap\";\n",
       "        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n",
       "        content.textContent = error.stack ?? error.toString();\n",
       "        wrapper.append(content);\n",
       "        el.append(wrapper);\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(() => display_loaded(error), 100);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error(url) {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < css_urls.length; i++) {\n",
       "      const url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < js_urls.length; i++) {\n",
       "      const url = js_urls[i];\n",
       "      const element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.7.2.min.js\"];\n",
       "  const css_urls = [];\n",
       "\n",
       "  const inline_js = [    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "function(Bokeh) {\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      try {\n",
       "            for (let i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "\n",
       "      } catch (error) {display_loaded(error);throw error;\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      const cell = $(document.getElementById(\"a3c6e6a7-9d3f-44fe-9f66-5f856450bb57\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"a3c6e6a7-9d3f-44fe-9f66-5f856450bb57\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.7.2.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"a3c6e6a7-9d3f-44fe-9f66-5f856450bb57\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "from systole.detection import ecg_peaks\n",
    "from systole.plots import plot_rr, plot_evoked, plot_events\n",
    "from systole import import_dataset1\n",
    "from systole.utils import heart_rate, to_epochs\n",
    "\n",
    "from bokeh.io import output_notebook\n",
    "from bokeh.plotting import show\n",
    "\n",
    "output_notebook()\n",
    "\n",
    "sns.set_context(\"talk\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfc81d37",
   "metadata": {},
   "source": [
    "This tutorial will cover instantaneous heart rate and evoked heart rate analysis. In the previous section, we  analyzed the heart rate variability as a property that can be observed in longer cardiac recordings and that might reflect the influence of the sympathetic and/or the parasympathetic nervous system on behavior. This approach has been widely used in psychology and psychophysiology to evaluate the trait heart rate variability (HRV) of a given participant on a continuous domain, sometimes in conjunction with experimental manipulations. This approach requires relatively long recordings to give a reasonable estimate of the HRV (~5 minutes), and resting conditions are also required to let the nervous system returns to a baseline. In some cases, experimenters may want to also record and/or control for respiratory frequency as this has a known physiological impact on HRV, in particular in the lower frequency components. \n",
    "\n",
    "However, psychophysiological interactions can appear at much shorter time scales (as fast as 1-2 seconds following stimulation), and these effects can be examined using evoked heart rate analysis. Evoked heart rate refers to the fluctuation of instantaneous heart rate following stimulation and could be described as the cardiac equivalent of event-related potentials [ERP](https://en.wikipedia.org/wiki/Event-related_potential). These fast fluctuations in heart-rate have many sources, for example changes in noradrenaline and/or autonomic factors, emotional states, and other cognitive variables. \n",
    "\n",
    "To perform evoked heart rate analysis, we need an ECG recording and a trigger, or stim channel, that will encode the occurrence of the events we want to study. Here, we will use an example dataset included in Systole. The task itself has been described in {cite:p}`2020:legrand`. During the recording, the participant has to rate the emotional valence of 36 neutral and 36 disgusting images (10 seconds max per image). The stim channel encodes the presentation of disgusting (`2`) and neutral (`1`) images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a628e6dc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:30.632091Z",
     "iopub.status.busy": "2025-04-07T06:29:30.631627Z",
     "iopub.status.idle": "2025-04-07T06:29:33.100322Z",
     "shell.execute_reply": "2025-04-07T06:29:33.099355Z"
    }
   },
   "outputs": [],
   "source": [
    "# Import ECG recording and Stim channel\n",
    "ecg_df = import_dataset1(modalities=[\"ECG\", \"Stim\"], disable=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cba92579",
   "metadata": {},
   "source": [
    "## Instantaneous heart rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8da7e896",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:33.102823Z",
     "iopub.status.busy": "2025-04-07T06:29:33.102594Z",
     "iopub.status.idle": "2025-04-07T06:29:33.158434Z",
     "shell.execute_reply": "2025-04-07T06:29:33.157490Z"
    }
   },
   "outputs": [],
   "source": [
    "# Peak detection in the ECG signal using the Pan-Tompkins method\n",
    "signal, peaks = ecg_peaks(signal=ecg_df.ecg, method=\"sleepecg\", sfreq=1000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae67d479",
   "metadata": {},
   "source": [
    "Because the heartbeats are discrete events interleaved by unequal intervals, the instantaneous heart rate time series is the results of the interpolation of the individual heart rate estimates.\n",
    "\n",
    "By defaults, the `plot_rr` function will linearly connect the dots to save memory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cf3175d8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:33.161018Z",
     "iopub.status.busy": "2025-04-07T06:29:33.160766Z",
     "iopub.status.idle": "2025-04-07T06:29:33.283498Z",
     "shell.execute_reply": "2025-04-07T06:29:33.282603Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
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     "output_type": "display_data"
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     "data": {
      "application/javascript": [
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%Y\",\"seconds\":\"\",\"minsec\":\"\",\"minutes\":\"\",\"hourmin\":\"\",\"hours\":\"\",\"days\":\"\",\"months\":\"\",\"years\":\"\",\"boundary_scaling\":false,\"hide_repeats\":true}},\"context_which\":\"all\"}},\"context_which\":\"all\"}},\"axis_label\":\"Time\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1030\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1031\",\"attributes\":{\"axis\":{\"id\":\"p1013\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1036\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1032\"}}},{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1070\",\"attributes\":{\"fill_color\":\"red\",\"fill_alpha\":0.1,\"left\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1072\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"left\"}},\"right\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1073\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"right\"}},\"top\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1074\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"top\"}},\"bottom\":3000,\"handles\":{\"type\":\"object\",\"name\":\"BoxInteractionHandles\",\"id\":\"p1076\",\"attributes\":{\"all\":{\"type\":\"object\",\"name\":\"AreaVisuals\",\"id\":\"p1075\",\"attributes\":{\"fill_color\":\"white\",\"hover_fill_color\":\"lightgray\"}}}}}},{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1077\",\"attributes\":{\"fill_color\":\"red\",\"fill_alpha\":0.1,\"left\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1079\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"left\"}},\"right\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1080\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"right\"}},\"top\":200,\"bottom\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1081\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"bottom\"}},\"handles\":{\"type\":\"object\",\"name\":\"BoxInteractionHandles\",\"id\":\"p1083\",\"attributes\":{\"all\":{\"type\":\"object\",\"name\":\"AreaVisuals\",\"id\":\"p1082\",\"attributes\":{\"fill_color\":\"white\",\"hover_fill_color\":\"lightgray\"}}}}}}],\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1084\",\"attributes\":{\"height\":125,\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1086\"},\"y_range\":{\"id\":\"p1003\"},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1094\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1095\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1087\",\"attributes\":{\"text\":\"Select the time window\"}},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1121\",\"attributes\":{\"data_source\":{\"id\":\"p1057\"},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1122\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1123\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1118\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"time\"},\"y\":{\"type\":\"field\",\"field\":\"rr\"},\"line_color\":\"#1f77b4\"}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1119\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"time\"},\"y\":{\"type\":\"field\",\"field\":\"rr\"},\"line_color\":\"#1f77b4\",\"line_alpha\":0.1}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1120\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"time\"},\"y\":{\"type\":\"field\",\"field\":\"rr\"},\"line_color\":\"#1f77b4\",\"line_alpha\":0.2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1093\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"RangeTool\",\"id\":\"p1125\",\"attributes\":{\"x_range\":{\"id\":\"p1124\"},\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1130\",\"attributes\":{\"syncable\":false,\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":0.5,\"line_dash\":[2,2],\"fill_color\":\"navy\",\"fill_alpha\":0.2,\"level\":\"overlay\",\"propagate_hover\":true,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_limit\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1126\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"left\"}},\"right_limit\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1127\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"right\"}},\"top_limit\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1128\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"top\"}},\"bottom_limit\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1129\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"bottom\"}},\"editable\":true,\"handles\":{\"type\":\"object\",\"name\":\"BoxInteractionHandles\",\"id\":\"p1136\",\"attributes\":{\"all\":{\"type\":\"object\",\"name\":\"AreaVisuals\",\"id\":\"p1135\",\"attributes\":{\"fill_color\":\"white\",\"hover_fill_color\":\"lightgray\"}}}}}}}}]}},\"toolbar_location\":null,\"below\":[{\"type\":\"object\",\"name\":\"DatetimeAxis\",\"id\":\"p1096\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"DatetimeTicker\",\"id\":\"p1097\",\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1098\",\"attributes\":{\"num_minor_ticks\":0,\"mantissas\":[1,2,5],\"max_interval\":500.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1099\",\"attributes\":{\"num_minor_ticks\":0,\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"min_interval\":1000.0,\"max_interval\":1800000.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1100\",\"attributes\":{\"num_minor_ticks\":0,\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"min_interval\":3600000.0,\"max_interval\":43200000.0}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1101\",\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1102\",\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1103\",\"attributes\":{\"days\":[1,8,15,22]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1104\",\"attributes\":{\"days\":[1,15]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1105\",\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1106\",\"attributes\":{\"months\":[0,2,4,6,8,10]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1107\",\"attributes\":{\"months\":[0,4,8]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1108\",\"attributes\":{\"months\":[0,6]}},{\"type\":\"object\",\"name\":\"YearsTicker\",\"id\":\"p1109\"}]}},\"formatter\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p1112\",\"attributes\":{\"seconds\":\"%T\",\"minsec\":\"%T\",\"minutes\":\"%H:%M\",\"hours\":\"%H:%M\",\"days\":\"%b %d\",\"months\":\"%b %Y\",\"strip_leading_zeros\":[\"microseconds\",\"milliseconds\",\"seconds\"],\"boundary_scaling\":false,\"context\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p1111\",\"attributes\":{\"microseconds\":\"%T\",\"milliseconds\":\"%T\",\"seconds\":\"%b %d, %Y\",\"minsec\":\"%b %d, %Y\",\"minutes\":\"%b %d, %Y\",\"hourmin\":\"%b %d, %Y\",\"hours\":\"%b %d, %Y\",\"days\":\"%Y\",\"months\":\"\",\"years\":\"\",\"boundary_scaling\":false,\"hide_repeats\":true,\"context\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p1110\",\"attributes\":{\"microseconds\":\"%b %d, %Y\",\"milliseconds\":\"%b %d, %Y\",\"seconds\":\"\",\"minsec\":\"\",\"minutes\":\"\",\"hourmin\":\"\",\"hours\":\"\",\"days\":\"\",\"months\":\"\",\"years\":\"\",\"boundary_scaling\":false,\"hide_repeats\":true}},\"context_which\":\"all\"}},\"context_which\":\"all\"}},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1113\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1114\",\"attributes\":{\"axis\":{\"id\":\"p1096\"}}}],\"background_fill_color\":\"#efefef\"}}]}}]}};\n",
       "  const render_items = [{\"docid\":\"4c03becd-6d6f-4685-a8bb-d73670dd2af6\",\"roots\":{\"p1137\":\"dbdb6db0-9c8a-4f92-9d6b-1da33e762a98\"},\"root_ids\":[\"p1137\"]}];\n",
       "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "p1137"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(plot_rr(peaks, input_type=\"peaks\", backend=\"bokeh\", figsize=250))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3edde9e",
   "metadata": {},
   "source": [
    "The `heart_rate` function provide more options and enables the user to select between different interpolation parameter following the ones povided by the `scipy.interpolate.interpolate1d` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "10c4a955",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:33.286278Z",
     "iopub.status.busy": "2025-04-07T06:29:33.286056Z",
     "iopub.status.idle": "2025-04-07T06:29:33.513210Z",
     "shell.execute_reply": "2025-04-07T06:29:33.511927Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select a subsample of the recording\n",
    "this_peaks = peaks[20000:35000]\n",
    "\n",
    "_, ax = plt.subplots(figsize=(13, 5))\n",
    "for kind, color, style in zip(\n",
    "    [\"cubic\", \"linear\", \"previous\", \"next\"],\n",
    "    sns.color_palette(\"deep\", n_colors=4),\n",
    "    [\"-\", \"--\", \":\", \"-.\"],\n",
    "):\n",
    "    hr, time = heart_rate(x=this_peaks, input_type=\"peaks\", kind=kind)\n",
    "    ax.plot(time, hr, color=color, label=kind, linestyle=style)\n",
    "\n",
    "# Show individual heartbeats\n",
    "ax.scatter(\n",
    "    np.where(this_peaks)[0][1:] / 1000,\n",
    "    np.diff(np.where(this_peaks)[0]),\n",
    "    s=100,\n",
    "    color=\"gray\",\n",
    "    edgecolors=\"k\",\n",
    "    label=\"Heartbeats\",\n",
    ")\n",
    "plt.legend()\n",
    "ax.set_xlabel(\"Time (s)\")\n",
    "ax.set_ylabel(\"RR intervals (ms)\")\n",
    "ax.set_title(\"Interpolation of the instantaneous heart rate\")\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3163842b",
   "metadata": {},
   "source": [
    "Note that here the timing of the peaks detection matters. The artefact correction, if it is used, should take this into account and never interpolate RR times series directly but always try to infer the presence, or absence, of cardiac cycles."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "474cb83d",
   "metadata": {},
   "source": [
    "## Evoked heart rate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0028c1bf",
   "metadata": {},
   "source": [
    "Finding R peaks and extract instantaneous heart rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a13efc04",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:33.516426Z",
     "iopub.status.busy": "2025-04-07T06:29:33.516196Z",
     "iopub.status.idle": "2025-04-07T06:29:33.575376Z",
     "shell.execute_reply": "2025-04-07T06:29:33.573997Z"
    }
   },
   "outputs": [],
   "source": [
    "heartrate, new_time = heart_rate(peaks, kind=\"previous\", output_unit=\"bpm\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f18f9b1c",
   "metadata": {},
   "source": [
    "Create stim vectors for neutral and discusting images separately. Here, 1 encode the presentation of an image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2cf71d30",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:33.579159Z",
     "iopub.status.busy": "2025-04-07T06:29:33.578787Z",
     "iopub.status.idle": "2025-04-07T06:29:33.585003Z",
     "shell.execute_reply": "2025-04-07T06:29:33.584018Z"
    }
   },
   "outputs": [],
   "source": [
    "triggers_idx = [\n",
    "    np.where(ecg_df.stim.to_numpy() == 2)[0],\n",
    "    np.where(ecg_df.stim.to_numpy() == 1)[0],\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "197eae0d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:33.587775Z",
     "iopub.status.busy": "2025-04-07T06:29:33.587176Z",
     "iopub.status.idle": "2025-04-07T06:29:33.598096Z",
     "shell.execute_reply": "2025-04-07T06:29:33.597387Z"
    }
   },
   "outputs": [],
   "source": [
    "neutral, disgust = np.zeros(len(new_time)), np.zeros(len(new_time))\n",
    "\n",
    "disgust[np.round(np.where(ecg_df.stim.to_numpy() == 2)[0]).astype(int)] = 1\n",
    "neutral[np.round(np.where(ecg_df.stim.to_numpy() == 1)[0]).astype(int)] = 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb402ae3",
   "metadata": {},
   "source": [
    "### Event plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1ede881",
   "metadata": {},
   "source": [
    "The `plot_events` function can be usefull to visualize the distribution of events during the task."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0d9c3d76",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:33.600141Z",
     "iopub.status.busy": "2025-04-07T06:29:33.599939Z",
     "iopub.status.idle": "2025-04-07T06:29:33.958319Z",
     "shell.execute_reply": "2025-04-07T06:29:33.957333Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Time'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_events(\n",
    "    triggers_idx=triggers_idx,\n",
    "    backend=\"matplotlib\",\n",
    "    labels=[\"Disgust\", \"Neutral\"],\n",
    "    tmin=-0.5,\n",
    "    tmax=10.0,\n",
    "    palette=[sns.xkcd_rgb[\"denim blue\"], sns.xkcd_rgb[\"pale red\"]],\n",
    "    figsize=(13, 3),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fe14ae1",
   "metadata": {},
   "source": [
    "This plot can be combined with other functionnalities of Systole, for example to wisualize the evolution of instantaneous heart rate across the different trials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e295ece7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:33.961098Z",
     "iopub.status.busy": "2025-04-07T06:29:33.960840Z",
     "iopub.status.idle": "2025-04-07T06:29:34.558538Z",
     "shell.execute_reply": "2025-04-07T06:29:34.557593Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"bd086410-0f36-4e28-bed5-d57cd3a3af91\" data-root-id=\"p1855\" style=\"display: contents;\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "  const docs_json = {\"2a336303-e9b2-4087-b3c5-e8376371fefc\":{\"version\":\"3.7.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Column\",\"id\":\"p1855\",\"attributes\":{\"sizing_mode\":\"stretch_width\",\"children\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1143\",\"attributes\":{\"height\":250,\"sizing_mode\":\"stretch_width\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1842\",\"attributes\":{\"start\":1453.0,\"end\":1536169.0}},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1145\"},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1153\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1154\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1146\",\"attributes\":{\"text\":\"Instantaneous heart rate\"}},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1203\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1199\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1200\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1201\"},\"data\":{\"type\":\"map\",\"entries\":[[\"time\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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,\"attributes\":{\"all\":{\"type\":\"object\",\"name\":\"AreaVisuals\",\"id\":\"p1799\",\"attributes\":{\"fill_color\":\"white\",\"hover_fill_color\":\"lightgray\"}}}}}},{\"type\":\"object\",\"name\":\"Span\",\"id\":\"p1801\",\"attributes\":{\"level\":\"underlay\",\"location\":834634.0,\"dimension\":\"height\",\"line_color\":\"gray\",\"line_dash\":[6]}}],\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1802\",\"attributes\":{\"height\":125,\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1804\"},\"y_range\":{\"id\":\"p1145\"},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1812\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1813\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1805\",\"attributes\":{\"text\":\"Select the time window\"}},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1839\",\"attributes\":{\"data_source\":{\"id\":\"p1199\"},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1840\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1841\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1836\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"time\"},\"y\":{\"type\":\"field\",\"field\":\"rr\"},\"line_color\":\"#1f77b4\"}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1837\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"time\"},\"y\":{\"type\":\"field\",\"field\":\"rr\"},\"line_color\":\"#1f77b4\",\"line_alpha\":0.1}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1838\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"time\"},\"y\":{\"type\":\"field\",\"field\":\"rr\"},\"line_color\":\"#1f77b4\",\"line_alpha\":0.2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1811\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"RangeTool\",\"id\":\"p1843\",\"attributes\":{\"x_range\":{\"id\":\"p1842\"},\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1848\",\"attributes\":{\"syncable\":false,\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":0.5,\"line_dash\":[2,2],\"fill_color\":\"navy\",\"fill_alpha\":0.2,\"level\":\"overlay\",\"propagate_hover\":true,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_limit\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1844\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"left\"}},\"right_limit\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1845\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"right\"}},\"top_limit\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1846\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"top\"}},\"bottom_limit\":{\"type\":\"object\",\"name\":\"Node\",\"id\":\"p1847\",\"attributes\":{\"target\":\"frame\",\"symbol\":\"bottom\"}},\"editable\":true,\"handles\":{\"type\":\"object\",\"name\":\"BoxInteractionHandles\",\"id\":\"p1854\",\"attributes\":{\"all\":{\"type\":\"object\",\"name\":\"AreaVisuals\",\"id\":\"p1853\",\"attributes\":{\"fill_color\":\"white\",\"hover_fill_color\":\"lightgray\"}}}}}}}}]}},\"toolbar_location\":null,\"below\":[{\"type\":\"object\",\"name\":\"DatetimeAxis\",\"id\":\"p1814\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"DatetimeTicker\",\"id\":\"p1815\",\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1816\",\"attributes\":{\"num_minor_ticks\":0,\"mantissas\":[1,2,5],\"max_interval\":500.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1817\",\"attributes\":{\"num_minor_ticks\":0,\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"min_interval\":1000.0,\"max_interval\":1800000.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1818\",\"attributes\":{\"num_minor_ticks\":0,\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"min_interval\":3600000.0,\"max_interval\":43200000.0}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1819\",\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1820\",\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1821\",\"attributes\":{\"days\":[1,8,15,22]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1822\",\"attributes\":{\"days\":[1,15]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1823\",\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1824\",\"attributes\":{\"months\":[0,2,4,6,8,10]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1825\",\"attributes\":{\"months\":[0,4,8]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1826\",\"attributes\":{\"months\":[0,6]}},{\"type\":\"object\",\"name\":\"YearsTicker\",\"id\":\"p1827\"}]}},\"formatter\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p1830\",\"attributes\":{\"seconds\":\"%T\",\"minsec\":\"%T\",\"minutes\":\"%H:%M\",\"hours\":\"%H:%M\",\"days\":\"%b %d\",\"months\":\"%b %Y\",\"strip_leading_zeros\":[\"microseconds\",\"milliseconds\",\"seconds\"],\"boundary_scaling\":false,\"context\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p1829\",\"attributes\":{\"microseconds\":\"%T\",\"milliseconds\":\"%T\",\"seconds\":\"%b %d, %Y\",\"minsec\":\"%b %d, %Y\",\"minutes\":\"%b %d, %Y\",\"hourmin\":\"%b %d, %Y\",\"hours\":\"%b %d, %Y\",\"days\":\"%Y\",\"months\":\"\",\"years\":\"\",\"boundary_scaling\":false,\"hide_repeats\":true,\"context\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p1828\",\"attributes\":{\"microseconds\":\"%b %d, %Y\",\"milliseconds\":\"%b %d, %Y\",\"seconds\":\"\",\"minsec\":\"\",\"minutes\":\"\",\"hourmin\":\"\",\"hours\":\"\",\"days\":\"\",\"months\":\"\",\"years\":\"\",\"boundary_scaling\":false,\"hide_repeats\":true}},\"context_which\":\"all\"}},\"context_which\":\"all\"}},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1831\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1832\",\"attributes\":{\"axis\":{\"id\":\"p1814\"}}}],\"background_fill_color\":\"#efefef\"}}]}}]}};\n",
       "  const render_items = [{\"docid\":\"2a336303-e9b2-4087-b3c5-e8376371fefc\",\"roots\":{\"p1855\":\"bd086410-0f36-4e28-bed5-d57cd3a3af91\"},\"root_ids\":[\"p1855\"]}];\n",
       "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "p1855"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# First, we create a RR interval plot\n",
    "show(\n",
    "    plot_rr(\n",
    "        peaks,\n",
    "        input_type=\"peaks\",\n",
    "        backend=\"bokeh\",\n",
    "        figsize=250,\n",
    "        events_params={\n",
    "            \"triggers_idx\": triggers_idx,\n",
    "            \"labels\": [\"Disgust\", \"Neutral\"],\n",
    "            \"tmin\": -0.5,\n",
    "            \"tmax\": 10.0,\n",
    "            \"palette\": [sns.xkcd_rgb[\"denim blue\"], sns.xkcd_rgb[\"pale red\"]],\n",
    "        },\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84902b95",
   "metadata": {},
   "source": [
    "However, it is still difficult to see if a general tendency emerges from the time course of the heart rate following the stimulations, and if the two conditions differ from one another."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28860b28",
   "metadata": {},
   "source": [
    "### Evoked plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5794f88",
   "metadata": {},
   "source": [
    "Systole provides a function `to_epochs` that can easily convert raw signal and triggers vectors into the corresponding epochs array. An epoch is simply a 2d matrix containing the signal of interest sliced using some interval around the trigers. It is also common practice to baseline correct these signal using the value at *t*=`0` or some interval before the stimuli (e.g., the average interval from 1 second pre-baseline), so the evoked response can be more readily interpreted.\n",
    "\n",
    "This function accepts several arguments and can be used in a variety of ways (see documentation). Here, we provide the trigger idexes using the `triggers_idx` parameter (the sames where a trigger was recorded, here indicating that an image appeared on the screen). The `apply_baseline` parameter is set to `(-1.0, 0.0)` to indicate that we want substract the average of the signal value one second before the triggers appear."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8011e37a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:34.561055Z",
     "iopub.status.busy": "2025-04-07T06:29:34.560813Z",
     "iopub.status.idle": "2025-04-07T06:29:34.571152Z",
     "shell.execute_reply": "2025-04-07T06:29:34.570208Z"
    }
   },
   "outputs": [],
   "source": [
    "epoch, rejected = to_epochs(\n",
    "    signal=signal, triggers_idx=triggers_idx, apply_baseline=(-1.0, 0.0)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9458ca97",
   "metadata": {},
   "source": [
    "The function returns two objects:\n",
    "* A 2d epoch array, that contains the signal of interest in the range around the trigger.\n",
    "* A 1d reject array that indexes the rejected trials during the epoching process.\n",
    "\n",
    "Trials can be rejected because\n",
    "1. They contain artefacts. The artefacted part of the recording can be indexed using the `reject` parameter.\n",
    "2. The time range of the trial lies outside the signal range. This can be the case for the first or the last trials"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6df492b0",
   "metadata": {},
   "source": [
    "Visualization of the event related instantaneous heart rate:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "38f228d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:34.574291Z",
     "iopub.status.busy": "2025-04-07T06:29:34.573534Z",
     "iopub.status.idle": "2025-04-07T06:29:35.022043Z",
     "shell.execute_reply": "2025-04-07T06:29:35.021114Z"
    }
   },
   "outputs": [
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"line_color\":\"#3b5b92\",\"line_alpha\":0.2,\"line_width\":2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1870\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1883\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1884\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1885\",\"attributes\":{\"dimensions\":\"both\",\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1886\",\"attributes\":{\"syncable\":false,\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"handles\":{\"type\":\"object\",\"name\":\"BoxInteractionHandles\",\"id\":\"p1892\",\"attributes\":{\"all\":{\"type\":\"object\",\"name\":\"AreaVisuals\",\"id\":\"p1891\",\"attributes\":{\"fill_color\":\"white\",\"hover_fill_color\":\"lightgray\"}}}}}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1893\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1894\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1895\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1878\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1879\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1880\"},\"axis_label\":\"Beats per minute (bpm)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1881\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1873\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1874\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1875\"},\"axis_label\":\"Time\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1876\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1877\",\"attributes\":{\"axis\":{\"id\":\"p1873\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1882\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1878\"}}},{\"type\":\"object\",\"name\":\"Band\",\"id\":\"p2225\",\"attributes\":{\"level\":\"underlay\",\"source\":{\"id\":\"p2222\"},\"lower\":{\"type\":\"field\",\"field\":\"lower\"},\"upper\":{\"type\":\"field\",\"field\":\"upper\"},\"base\":{\"type\":\"field\",\"field\":\"time\"},\"fill_color\":\"#d9544d\",\"fill_alpha\":0.2}},{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p2238\",\"attributes\":{\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2239\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Condition 1\"},\"renderers\":[{\"id\":\"p2235\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2580\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"Condition 2\"},\"renderers\":[{\"id\":\"p2577\"}]}}]}},{\"type\":\"object\",\"name\":\"Band\",\"id\":\"p2567\",\"attributes\":{\"level\":\"underlay\",\"source\":{\"id\":\"p2564\"},\"lower\":{\"type\":\"field\",\"field\":\"lower\"},\"upper\":{\"type\":\"field\",\"field\":\"upper\"},\"base\":{\"type\":\"field\",\"field\":\"time\"},\"fill_color\":\"#3b5b92\",\"fill_alpha\":0.2}}]}}]}};\n",
       "  const render_items = [{\"docid\":\"1bf0003c-7049-4eae-a22b-4df34977a1d5\",\"roots\":{\"p1861\":\"d457a9b7-7930-4a39-9224-d45c8ed0645a\"},\"root_ids\":[\"p1861\"]}];\n",
       "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "p1861"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(\n",
    "    plot_evoked(\n",
    "        rr=peaks,\n",
    "        triggers_idx=triggers_idx,\n",
    "        input_type=\"peaks\",\n",
    "        backend=\"bokeh\",\n",
    "        palette=[sns.xkcd_rgb[\"pale red\"], sns.xkcd_rgb[\"denim blue\"]],\n",
    "        decim=100,\n",
    "        apply_baseline=(-1.0, 0.0),\n",
    "        figsize=(400, 400),\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3bb793b6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:35.024439Z",
     "iopub.status.busy": "2025-04-07T06:29:35.024141Z",
     "iopub.status.idle": "2025-04-07T06:29:42.179745Z",
     "shell.execute_reply": "2025-04-07T06:29:42.179024Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nicolas/git/systole/src/systole/plots/backends/matplotlib/plot_evoked.py:70: FutureWarning: \n",
      "\n",
      "The `ci` parameter is deprecated. Use `errorbar=('ci', 68)` for the same effect.\n",
      "\n",
      "  sns.lineplot(data=epoch_df, x=\"Time\", y=\"heart_rate\", hue=\"Label\", ax=ax, **kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nicolas/git/systole/src/systole/plots/backends/matplotlib/plot_evoked.py:70: FutureWarning: \n",
      "\n",
      "The `ci` parameter is deprecated. Use `errorbar=('ci', 68)` for the same effect.\n",
      "\n",
      "  sns.lineplot(data=epoch_df, x=\"Time\", y=\"heart_rate\", hue=\"Label\", ax=ax, **kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nicolas/git/systole/src/systole/plots/backends/matplotlib/plot_evoked.py:70: FutureWarning: \n",
      "\n",
      "The `ci` parameter is deprecated. Use `errorbar=('ci', 68)` for the same effect.\n",
      "\n",
      "  sns.lineplot(data=epoch_df, x=\"Time\", y=\"heart_rate\", hue=\"Label\", ax=ax, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 3, figsize=(15, 6), sharey=True)\n",
    "\n",
    "for i, kind in enumerate([\"cubic\", \"linear\", \"previous\"]):\n",
    "    axs[i].set_title(f\"Interpolation: {kind}\")\n",
    "    plot_evoked(\n",
    "        rr=peaks,\n",
    "        triggers_idx=triggers_idx,\n",
    "        input_type=\"peaks\",\n",
    "        kind=kind,\n",
    "        palette=[sns.xkcd_rgb[\"pale red\"], sns.xkcd_rgb[\"denim blue\"]],\n",
    "        labels=[\"Disgust\", \"Neutral\"],\n",
    "        decim=100,\n",
    "        apply_baseline=(-1.0, 0.0),\n",
    "        figsize=(6, 6),\n",
    "        ax=axs[i],\n",
    "        ci=68,\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d790d7f",
   "metadata": {},
   "source": [
    "This concludes the tutorial on using systole for evoked HR analysis!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3a0104d",
   "metadata": {},
   "source": [
    "# System configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "73b2cdb9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-07T06:29:42.181870Z",
     "iopub.status.busy": "2025-04-07T06:29:42.181663Z",
     "iopub.status.idle": "2025-04-07T06:29:42.231906Z",
     "shell.execute_reply": "2025-04-07T06:29:42.231090Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: Mon Apr 07 2025\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.13.2\n",
      "IPython version      : 9.0.2\n",
      "\n",
      "systole: 0.0.0\n",
      "numba  : 0.61.0\n",
      "\n",
      "sys       : 3.13.2 (main, Mar 11 2025, 17:25:02) [Clang 20.1.0 ]\n",
      "matplotlib: 3.10.1\n",
      "numpy     : 2.1.3\n",
      "seaborn   : 0.13.2\n",
      "bokeh     : 3.7.2\n",
      "systole   : 0.0.0\n",
      "\n",
      "Watermark: 2.5.0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w -p systole,numba"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "formats": "ipynb,md:myst"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.13.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}