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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Signal Filtering\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Savgol Filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vitalDSP.filtering.signal_filtering import SignalFiltering\n",
    "import numpy as np\n",
    "from plotly import graph_objects as go\n",
    "import os\n",
    "import plotly.io as pio\n",
    "pio.renderers.default = \"sphinx_gallery\"\n",
    "# pio.renderers.default = \"plotly_mimetype\"  # or \"plotly_mimetype\"\n",
    "# from IPython.display import display, HTML\n",
    "# display(HTML('<script src=\"https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js\"></script>'))\n",
    "from vitalDSP.notebooks import load_sample_ecg_small, plot_trace\n",
    "\n",
    "signal_col, date_col = load_sample_ecg_small()\n",
    "signal_col = np.array(signal_col)\n",
    "\n",
    "sf = SignalFiltering(signal_col)\n",
    "filtered_sig = sf.savgol_filter(signal_col,window_length=9,polyorder=2)\n",
    "\n",
    "plot_trace(signal_col,filtered_sig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Moving Average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vitalDSP.filtering.signal_filtering import SignalFiltering\n",
    "import numpy as np\n",
    "from plotly import graph_objects as go\n",
    "import os\n",
    "from vitalDSP.notebooks import load_sample_ecg_small, plot_trace\n",
    "\n",
    "signal_col, date_col = load_sample_ecg_small()\n",
    "signal_col = np.array(signal_col)\n",
    "\n",
    "sf = SignalFiltering(signal_col)\n",
    "filtered_sig = sf.moving_average(window_size=9)\n",
    "\n",
    "plot_trace(signal_col,filtered_sig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gaussian Filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vitalDSP.filtering.signal_filtering import SignalFiltering\n",
    "import numpy as np\n",
    "from plotly import graph_objects as go\n",
    "import os\n",
    "from vitalDSP.notebooks import load_sample_ecg_small, plot_trace\n",
    "\n",
    "signal_col, date_col = load_sample_ecg_small()\n",
    "signal_col = np.array(signal_col)\n",
    "\n",
    "sf = SignalFiltering(signal_col)\n",
    "filtered_sig = sf.gaussian(sigma=2)\n",
    "\n",
    "plot_trace(signal_col,filtered_sig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Butterworth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vitalDSP.filtering.signal_filtering import SignalFiltering\n",
    "import numpy as np\n",
    "from plotly import graph_objects as go\n",
    "import os\n",
    "from vitalDSP.notebooks import load_sample_ecg_small, plot_trace\n",
    "\n",
    "signal_col, date_col = load_sample_ecg_small()\n",
    "signal_col = np.array(signal_col)\n",
    "\n",
    "sf = SignalFiltering(signal_col)\n",
    "filtered_sig = sf.butterworth(cutoff=0.5, fs=128, order=4)\n",
    "\n",
    "plot_trace(signal_col,filtered_sig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vitalDSP.filtering.signal_filtering import SignalFiltering\n",
    "import numpy as np\n",
    "from plotly import graph_objects as go\n",
    "import os\n",
    "from vitalDSP.notebooks import load_sample_ecg_small, plot_trace\n",
    "\n",
    "signal_col, date_col = load_sample_ecg_small()\n",
    "signal_col = np.array(signal_col)\n",
    "\n",
    "sf = SignalFiltering(signal_col)\n",
    "filtered_sig = sf.median(kernel_size=9,iterations=2)\n",
    "\n",
    "plot_trace(signal_col,filtered_sig)"
   ]
  }
 ],
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