bio_example.ipynb

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      "source": [
        "### **Procesamiento y análisis de señales de EDA para la práctica de investigación MÉTODOS PSICOFISIOLÓGICOS**\n",
        "\n",
        "Procesamiento y analisis de señales de actividad electrodermica (EDA) a modo de ejemplo para la realizacion\n",
        "del trabajo final de la práctica de investigacion Metodos Psicofisiologicos. Se utilizo el paquete\n",
        "de  analisis de datos fisiologicos NeuroKit2\n",
        "\n",
        "Referencia del paquete: Makowski, D., Pham, T., Lau, Z. J., Brammer, J. C., Lespinasse, F., Pham, H., Schölzel, C., & Chen, S. A. (2021).\n",
        "NeuroKit2: A Python toolbox for neurophysiological signal processing. Behavior Research Methods.\n",
        "https://doi.org/10.3758/s13428-020-01516-y"
      ],
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import neurokit2 as nk\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "plt.rcParams['figure.figsize'] = [15, 5] #Configuro tamaño de los plots\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0-FfPUF9dvEb"
      },
      "outputs": [],
      "source": [
        "# Descarga de data de ejemplo\n",
        "data = nk.data(\"bio_eventrelated_100hz\") #base de datos de señales fisiologicas de Neurokit2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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        "outputId": "505e5215-71df-47be-dac2-0787f744dcee"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>EDA_Raw</th>\n",
              "      <th>EDA_Clean</th>\n",
              "      <th>EDA_Tonic</th>\n",
              "      <th>EDA_Phasic</th>\n",
              "      <th>SCR_Onsets</th>\n",
              "      <th>SCR_Peaks</th>\n",
              "      <th>SCR_Height</th>\n",
              "      <th>SCR_Amplitude</th>\n",
              "      <th>SCR_RiseTime</th>\n",
              "      <th>SCR_Recovery</th>\n",
              "      <th>SCR_RecoveryTime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>13.196868</td>\n",
              "      <td>13.196849</td>\n",
              "      <td>13.102238</td>\n",
              "      <td>0.094612</td>\n",
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              "      <th>1</th>\n",
              "      <td>13.197173</td>\n",
              "      <td>13.195557</td>\n",
              "      <td>13.101986</td>\n",
              "      <td>0.093571</td>\n",
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              "      <td>13.194280</td>\n",
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              "      <td>0.092546</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>13.197631</td>\n",
              "      <td>13.193032</td>\n",
              "      <td>13.101483</td>\n",
              "      <td>0.091549</td>\n",
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              "      <th>4</th>\n",
              "      <td>13.196715</td>\n",
              "      <td>13.191824</td>\n",
              "      <td>13.101231</td>\n",
              "      <td>0.090593</td>\n",
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              "      <td>0.0</td>\n",
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              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14995</th>\n",
              "      <td>14.873656</td>\n",
              "      <td>14.881080</td>\n",
              "      <td>14.649685</td>\n",
              "      <td>0.014949</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
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              "      <th>14996</th>\n",
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              "      <td>0.0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>14997</th>\n",
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              "      <td>14.877753</td>\n",
              "      <td>14.649688</td>\n",
              "      <td>0.012826</td>\n",
              "      <td>0</td>\n",
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              "<p>15000 rows × 11 columns</p>\n",
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              "         EDA_Raw  EDA_Clean  EDA_Tonic  EDA_Phasic  SCR_Onsets  SCR_Peaks  \\\n",
              "0      13.196868  13.196849  13.102238    0.094612           0          0   \n",
              "1      13.197173  13.195557  13.101986    0.093571           0          0   \n",
              "2      13.197020  13.194280  13.101734    0.092546           0          0   \n",
              "3      13.197631  13.193032  13.101483    0.091549           0          0   \n",
              "4      13.196715  13.191824  13.101231    0.090593           0          0   \n",
              "...          ...        ...        ...         ...         ...        ...   \n",
              "14995  14.873656  14.881080  14.649685    0.014949           0          0   \n",
              "14996  14.873961  14.879324  14.649686    0.013793           0          0   \n",
              "14997  14.874266  14.877753  14.649688    0.012826           0          0   \n",
              "14998  14.875335  14.876366  14.649688    0.012049           0          0   \n",
              "14999  14.874114  14.875162  14.649689    0.011460           0          0   \n",
              "\n",
              "       SCR_Height  SCR_Amplitude  SCR_RiseTime  SCR_Recovery  SCR_RecoveryTime  \n",
              "0             0.0            0.0           0.0             0               0.0  \n",
              "1             0.0            0.0           0.0             0               0.0  \n",
              "2             0.0            0.0           0.0             0               0.0  \n",
              "3             0.0            0.0           0.0             0               0.0  \n",
              "4             0.0            0.0           0.0             0               0.0  \n",
              "...           ...            ...           ...           ...               ...  \n",
              "14995         0.0            0.0           0.0             0               0.0  \n",
              "14996         0.0            0.0           0.0             0               0.0  \n",
              "14997         0.0            0.0           0.0             0               0.0  \n",
              "14998         0.0            0.0           0.0             0               0.0  \n",
              "14999         0.0            0.0           0.0             0               0.0  \n",
              "\n",
              "[15000 rows x 11 columns]"
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      "source": [
        "# Preprocesamiento de los datos (filtros, find peaks)\n",
        "processed_data, info = nk.bio_process(eda=data[\"EDA\"],sampling_rate=100) #Trabajo unicamente con datos de EDA\n",
        "processed_data\n"
      ]
    },
    {
      "cell_type": "code",
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        "id": "iasAom6TdvEc",
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              "   SCR_Peaks_N  SCR_Peaks_Amplitude_Mean\n",
              "0          9.0                  1.618542"
            ]
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          "execution_count": 12,
          "metadata": {},
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      ],
      "source": [
        "# Algunos Features\n",
        "results = nk.bio_analyze(processed_data, sampling_rate=100)\n",
        "results\n"
      ]
    },
    {
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\n",
            "text/plain": [
              "<Figure size 1080x360 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x360 with 3 Axes>"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Visualizar el proceso\n",
        "nk.eda_plot(processed_data, sampling_rate=100)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nLA_3hCXdvEd",
        "outputId": "991608f0-c228-4ef3-d318-6979d0f84254"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>EDA_Raw</th>\n",
              "      <th>EDA_Clean</th>\n",
              "      <th>EDA_Tonic</th>\n",
              "      <th>EDA_Phasic</th>\n",
              "      <th>SCR_Onsets</th>\n",
              "      <th>SCR_Peaks</th>\n",
              "      <th>SCR_Height</th>\n",
              "      <th>SCR_Amplitude</th>\n",
              "      <th>SCR_RiseTime</th>\n",
              "      <th>SCR_Recovery</th>\n",
              "      <th>SCR_RecoveryTime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1495</th>\n",
              "      <td>16.587523</td>\n",
              "      <td>16.590485</td>\n",
              "      <td>14.594868</td>\n",
              "      <td>1.995617</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1.995617</td>\n",
              "      <td>3.114808</td>\n",
              "      <td>1.74</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2304</th>\n",
              "      <td>15.548552</td>\n",
              "      <td>15.543293</td>\n",
              "      <td>15.137384</td>\n",
              "      <td>0.405910</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.405910</td>\n",
              "      <td>0.983793</td>\n",
              "      <td>1.49</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2754</th>\n",
              "      <td>15.595702</td>\n",
              "      <td>15.594928</td>\n",
              "      <td>14.973046</td>\n",
              "      <td>0.621882</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.621882</td>\n",
              "      <td>1.024030</td>\n",
              "      <td>1.57</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4748</th>\n",
              "      <td>16.674498</td>\n",
              "      <td>16.680453</td>\n",
              "      <td>15.138621</td>\n",
              "      <td>1.541832</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1.541832</td>\n",
              "      <td>2.436041</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7023</th>\n",
              "      <td>16.771239</td>\n",
              "      <td>16.772101</td>\n",
              "      <td>15.225597</td>\n",
              "      <td>1.546504</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1.546504</td>\n",
              "      <td>2.350586</td>\n",
              "      <td>1.88</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10640</th>\n",
              "      <td>13.575438</td>\n",
              "      <td>13.575249</td>\n",
              "      <td>13.483864</td>\n",
              "      <td>0.091405</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.091405</td>\n",
              "      <td>0.065813</td>\n",
              "      <td>1.39</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12205</th>\n",
              "      <td>16.195678</td>\n",
              "      <td>16.195265</td>\n",
              "      <td>14.710218</td>\n",
              "      <td>1.484693</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1.484693</td>\n",
              "      <td>0.965210</td>\n",
              "      <td>1.49</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13268</th>\n",
              "      <td>15.730437</td>\n",
              "      <td>15.728164</td>\n",
              "      <td>14.681605</td>\n",
              "      <td>1.056855</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1.056855</td>\n",
              "      <td>1.675922</td>\n",
              "      <td>1.73</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14741</th>\n",
              "      <td>16.025389</td>\n",
              "      <td>16.019979</td>\n",
              "      <td>14.607590</td>\n",
              "      <td>1.160582</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1.160582</td>\n",
              "      <td>1.950678</td>\n",
              "      <td>2.37</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         EDA_Raw  EDA_Clean  EDA_Tonic  EDA_Phasic  SCR_Onsets  SCR_Peaks  \\\n",
              "1495   16.587523  16.590485  14.594868    1.995617           0          1   \n",
              "2304   15.548552  15.543293  15.137384    0.405910           0          1   \n",
              "2754   15.595702  15.594928  14.973046    0.621882           0          1   \n",
              "4748   16.674498  16.680453  15.138621    1.541832           0          1   \n",
              "7023   16.771239  16.772101  15.225597    1.546504           0          1   \n",
              "10640  13.575438  13.575249  13.483864    0.091405           0          1   \n",
              "12205  16.195678  16.195265  14.710218    1.484693           0          1   \n",
              "13268  15.730437  15.728164  14.681605    1.056855           0          1   \n",
              "14741  16.025389  16.019979  14.607590    1.160582           0          1   \n",
              "\n",
              "       SCR_Height  SCR_Amplitude  SCR_RiseTime  SCR_Recovery  SCR_RecoveryTime  \n",
              "1495     1.995617       3.114808          1.74             0               0.0  \n",
              "2304     0.405910       0.983793          1.49             0               0.0  \n",
              "2754     0.621882       1.024030          1.57             0               0.0  \n",
              "4748     1.541832       2.436041          2.04             0               0.0  \n",
              "7023     1.546504       2.350586          1.88             0               0.0  \n",
              "10640    0.091405       0.065813          1.39             0               0.0  \n",
              "12205    1.484693       0.965210          1.49             0               0.0  \n",
              "13268    1.056855       1.675922          1.73             0               0.0  \n",
              "14741    1.160582       1.950678          2.37             0               0.0  "
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#Selecciono unicamente los SCR peaks\n",
        "df = processed_data[processed_data['SCR_Peaks'] == 1]\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "U2VitJOcdvEd",
        "outputId": "b3fc60f0-293c-46c9-dd3f-3844a27b7f88"
      },
      "outputs": [
        {
          "ename": "NameError",
          "evalue": "name 'eda_phasic' is not defined",
          "output_type": "error",
          "traceback": [
            "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[1;32m<ipython-input-15-f001212f09a6>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnk\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0meda_peaks\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0meda_phasic\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msampling_rate\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m100\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"neurokit\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mamplitude_min\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0.1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[1;31mNameError\u001b[0m: name 'eda_phasic' is not defined"
          ]
        }
      ],
      "source": [
        "r = nk.eda_peaks(eda_phasic, sampling_rate=100, method=\"neurokit\", amplitude_min=0.1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "a3R53IEpdvEe"
      },
      "outputs": [],
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "292ueMT6dvEe"
      },
      "outputs": [],
      "source": [
        ""
      ]
    }
  ],
  "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": "3.8.5"
    },
    "colab": {
      "name": "bio_example.ipynb",
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}