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TesisGradoSuribresta/Simulaciones/Exploracion_de_los_datos.ipynb

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{
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"source": [
"# Exploracion de las mediciones\n",
"\n",
"Vamos a explorar todas las muestras que tenemos en la base de datos para tener una idea de con que estamos trabajando. Para esto vamos a explorar las mediciones demoduladas, las mediciones de respiracion (ver si se pueden limpiar un poco o si se pueden interpretar un poco) las mediciones de ritmo cardiaco, etc...\n"
]
},
{
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"source": [
"## Exploracion de las mediciones demoduladas\n"
]
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"PCG_front_radar_front",
"radar_2R_PCG_2L",
"Radar 2R PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_2R_PCG_2L/DATASET_2017-02-27_10-33-30_Person 2.mat",
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_2R_PCG_2L/Peak_2017-02-27_10-33-30.csv"
],
[
"61",
"2",
"2017-02-27_10-36-48",
"PCG_front_radar_front",
"radar_4L_PCG_2L",
"Radar 4L PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/DATASET_2017-02-27_10-36-48_Person 2.mat",
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/Peak_2017-02-27_10-36-48.csv"
],
[
"62",
"2",
"2017-02-27_10-38-25",
"PCG_front_radar_front",
"radar_4L_PCG_2L",
"Radar 4L PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/DATASET_2017-02-27_10-38-25_Person 2.mat",
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/Peak_2017-02-27_10-38-25.csv"
],
[
"63",
"2",
"2017-02-27_10-40-06",
"PCG_front_radar_front",
"radar_4L_PCG_2L",
"Radar 4L PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/DATASET_2017-02-27_10-40-06_Person 2.mat",
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/Peak_2017-02-27_10-40-06.csv"
],
[
"64",
"2",
"2017-02-27_10-41-45",
"PCG_front_radar_front",
"radar_4L_PCG_2L",
"Radar 4L PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/DATASET_2017-02-27_10-41-45_Person 2.mat",
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/Peak_2017-02-27_10-41-45.csv"
],
[
"65",
"2",
"2017-02-27_10-43-46",
"PCG_front_radar_front",
"radar_4L_PCG_2L",
"Radar 4L PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/DATASET_2017-02-27_10-43-46_Person 2.mat",
"ColeccionDatos/datasets/measurement_data_person2/PCG_front_radar_front/radar_4L_PCG_2L/Peak_2017-02-27_10-43-46.csv"
],
[
"66",
"3",
"2017-01-17_17-41-07",
"PCG_front_radar_front",
"radar_xiphoid_PCG_2L",
"Radar Xiphoid PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_xiphoid_PCG_2L/DATASET_2017-01-17_17-41-07_Person 3.mat",
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_xiphoid_PCG_2L/Peak_2017-01-17_17-41-07.csv"
],
[
"67",
"3",
"2017-01-17_17-48-53",
"PCG_front_radar_front",
"radar_4L_PCG_2L",
"Radar 4L PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_4L_PCG_2L/DATASET_2017-01-17_17-48-53_Person 3.mat",
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_4L_PCG_2L/Peak_2017-01-17_17-48-53.csv"
],
[
"68",
"3",
"2017-01-17_17-55-53",
"PCG_front_radar_front",
"radar_4L_PCG_2L",
"Radar 4L PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_4L_PCG_2L/DATASET_2017-01-17_17-55-53_Person 3.mat",
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_4L_PCG_2L/Peak_2017-01-17_17-55-53.csv"
],
[
"69",
"3",
"2017-01-17_17-59-08",
"PCG_front_radar_front",
"radar_4L_PCG_2L",
"Radar 4L PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_4L_PCG_2L/DATASET_2017-01-17_17-59-08_Person 3.mat",
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_4L_PCG_2L/Peak_2017-01-17_17-59-08.csv"
],
[
"70",
"3",
"2017-01-17_18-04-18",
"PCG_front_radar_front",
"radar_4L_PCG_2L",
"Radar 4L PCG 2L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_4L_PCG_2L/DATASET_2017-01-17_18-04-18_Person 3.mat",
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_4L_PCG_2L/Peak_2017-01-17_18-04-18.csv"
],
[
"73",
"3",
"2017-01-17_18-23-25",
"PCG_front_radar_front",
"radar_2L_PCG_4L",
"Radar 2L PCG 4L",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_2L_PCG_4L/DATASET_2017-01-17_18-23-25_Person 3.mat",
"ColeccionDatos/datasets/measurement_data_person3/PCG_front_radar_front/radar_2L_PCG_4L/Peak_2017-01-17_18-23-25.csv"
],
[
"80",
"3",
"2017-01-17_19-09-33",
"PCG_neck_radar_neck",
"radar_carotid_L_PCG_carotid_R",
"Radar carotid L PCG carotid R",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person3/PCG_neck_radar_neck/radar_carotid_L_PCG_carotid_R/DATASET_2017-01-17_19-09-33_Person 3.mat",
"ColeccionDatos/datasets/measurement_data_person3/PCG_neck_radar_neck/radar_carotid_L_PCG_carotid_R/Peak_2017-01-17_19-09-33.csv"
],
[
"81",
"3",
"2017-01-17_19-12-55",
"PCG_neck_radar_neck",
"radar_carotid_L_PCG_carotid_R",
"Radar carotid L PCG carotid R",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person3/PCG_neck_radar_neck/radar_carotid_L_PCG_carotid_R/DATASET_2017-01-17_19-12-55_Person 3.mat",
"ColeccionDatos/datasets/measurement_data_person3/PCG_neck_radar_neck/radar_carotid_L_PCG_carotid_R/Peak_2017-01-17_19-12-55.csv"
],
[
"87",
"4",
"2017-01-20_10-41-20",
"PCG_front_radar_front",
"PCG_4L_radar_xiphoid",
"PCG 4L Radar Xiphoid",
null,
null,
null,
"ColeccionDatos/datasets/measurement_data_person4/PCG_front_radar_front/PCG_4L_radar_xiphoid/DATASET_2017-01-20_10-41-20_Person 4.mat",
"ColeccionDatos/datasets/measurement_data_person4/PCG_front_radar_front/PCG_4L_radar_xiphoid/Peak_2017-01-20_10-41-20.csv"
]
],
"shape": {
"columns": 10,
"rows": 139
}
},
"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>Paciente</th>\n",
" <th>Tiempo</th>\n",
" <th>Posicion_medida_primaria</th>\n",
" <th>Posicion_medida_secundaria</th>\n",
" <th>Pos_sec_no_traducida</th>\n",
" <th>Escenario_principal</th>\n",
" <th>Escenario_secundario</th>\n",
" <th>Escenario_terciario</th>\n",
" <th>Path_datos</th>\n",
" <th>Path_picos</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>2016-12-20_11-25-55</td>\n",
" <td>PCG_front_radar_front</td>\n",
" <td>radar_2L_PCG_4L</td>\n",
" <td>Radar 2L PCG 4L</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>2016-12-20_11-30-47</td>\n",
" <td>PCG_front_radar_front</td>\n",
" <td>radar_2L_PCG_4L</td>\n",
" <td>Radar 2L PCG 4L</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>2016-12-20_11-36-19</td>\n",
" <td>PCG_front_radar_front</td>\n",
" <td>radar_2L_PCG_4L</td>\n",
" <td>Radar 2L PCG 4L</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>2016-12-20_11-46-09</td>\n",
" <td>PCG_front_radar_front</td>\n",
" <td>radar_2L_PCG_4L</td>\n",
" <td>Radar 2L PCG 4L</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>2016-12-20_11-49-00</td>\n",
" <td>PCG_front_radar_front</td>\n",
" <td>radar_2L_PCG_4L</td>\n",
" <td>Radar 2L PCG 4L</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <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>251</th>\n",
" <td>11</td>\n",
" <td>2017-02-16_11-37-59</td>\n",
" <td>PCG_neck_radar_neck</td>\n",
" <td>PCG_carotid_R_radar_carotid_L</td>\n",
" <td>PCG carotid R Radar carotid L</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>252</th>\n",
" <td>11</td>\n",
" <td>2017-02-16_11-42-13</td>\n",
" <td>PCG_neck_radar_neck</td>\n",
" <td>PCG_carotid_R_radar_carotid_L</td>\n",
" <td>PCG carotid R Radar carotid L</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>261</th>\n",
" <td>11</td>\n",
" <td>2017-02-16_10-53-42</td>\n",
" <td>PCG_front_radar_front</td>\n",
" <td>PCG_2L_radar_4L</td>\n",
" <td>PCG 2L Radar 4L</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>262</th>\n",
" <td>11</td>\n",
" <td>2017-02-16_11-02-10</td>\n",
" <td>PCG_front_radar_front</td>\n",
" <td>PCG_2L_radar_4L</td>\n",
" <td>PCG 2L Radar 4L</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>263</th>\n",
" <td>11</td>\n",
" <td>2017-02-16_10-50-44</td>\n",
" <td>PCG_front_radar_front</td>\n",
" <td>PCG_2L_radar_xiphoid</td>\n",
" <td>PCG 2L Radar Xiphoid</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" <td>ColeccionDatos/datasets/measurement_data_perso...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>139 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" Paciente Tiempo Posicion_medida_primaria \\\n",
"0 1 2016-12-20_11-25-55 PCG_front_radar_front \n",
"1 1 2016-12-20_11-30-47 PCG_front_radar_front \n",
"2 1 2016-12-20_11-36-19 PCG_front_radar_front \n",
"3 1 2016-12-20_11-46-09 PCG_front_radar_front \n",
"4 1 2016-12-20_11-49-00 PCG_front_radar_front \n",
".. ... ... ... \n",
"251 11 2017-02-16_11-37-59 PCG_neck_radar_neck \n",
"252 11 2017-02-16_11-42-13 PCG_neck_radar_neck \n",
"261 11 2017-02-16_10-53-42 PCG_front_radar_front \n",
"262 11 2017-02-16_11-02-10 PCG_front_radar_front \n",
"263 11 2017-02-16_10-50-44 PCG_front_radar_front \n",
"\n",
" Posicion_medida_secundaria Pos_sec_no_traducida \\\n",
"0 radar_2L_PCG_4L Radar 2L PCG 4L \n",
"1 radar_2L_PCG_4L Radar 2L PCG 4L \n",
"2 radar_2L_PCG_4L Radar 2L PCG 4L \n",
"3 radar_2L_PCG_4L Radar 2L PCG 4L \n",
"4 radar_2L_PCG_4L Radar 2L PCG 4L \n",
".. ... ... \n",
"251 PCG_carotid_R_radar_carotid_L PCG carotid R Radar carotid L \n",
"252 PCG_carotid_R_radar_carotid_L PCG carotid R Radar carotid L \n",
"261 PCG_2L_radar_4L PCG 2L Radar 4L \n",
"262 PCG_2L_radar_4L PCG 2L Radar 4L \n",
"263 PCG_2L_radar_xiphoid PCG 2L Radar Xiphoid \n",
"\n",
" Escenario_principal Escenario_secundario Escenario_terciario \\\n",
"0 NaN NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
".. ... ... ... \n",
"251 NaN NaN NaN \n",
"252 NaN NaN NaN \n",
"261 NaN NaN NaN \n",
"262 NaN NaN NaN \n",
"263 NaN NaN NaN \n",
"\n",
" Path_datos \\\n",
"0 ColeccionDatos/datasets/measurement_data_perso... \n",
"1 ColeccionDatos/datasets/measurement_data_perso... \n",
"2 ColeccionDatos/datasets/measurement_data_perso... \n",
"3 ColeccionDatos/datasets/measurement_data_perso... \n",
"4 ColeccionDatos/datasets/measurement_data_perso... \n",
".. ... \n",
"251 ColeccionDatos/datasets/measurement_data_perso... \n",
"252 ColeccionDatos/datasets/measurement_data_perso... \n",
"261 ColeccionDatos/datasets/measurement_data_perso... \n",
"262 ColeccionDatos/datasets/measurement_data_perso... \n",
"263 ColeccionDatos/datasets/measurement_data_perso... \n",
"\n",
" Path_picos \n",
"0 ColeccionDatos/datasets/measurement_data_perso... \n",
"1 ColeccionDatos/datasets/measurement_data_perso... \n",
"2 ColeccionDatos/datasets/measurement_data_perso... \n",
"3 ColeccionDatos/datasets/measurement_data_perso... \n",
"4 ColeccionDatos/datasets/measurement_data_perso... \n",
".. ... \n",
"251 ColeccionDatos/datasets/measurement_data_perso... \n",
"252 ColeccionDatos/datasets/measurement_data_perso... \n",
"261 ColeccionDatos/datasets/measurement_data_perso... \n",
"262 ColeccionDatos/datasets/measurement_data_perso... \n",
"263 ColeccionDatos/datasets/measurement_data_perso... \n",
"\n",
"[139 rows x 10 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import random\n",
"import scipy\n",
"import pandas as pd\n",
"from scipy.signal import firwin, resample_poly\n",
"\n",
"\n",
"Tabla_Indice = pd.read_csv('Tabla_Direccionamiento_Base_Datos.csv')\n",
"\n",
"Tabla_Indice.columns\n",
"\n",
"def Cargar_datos_y_señal(Link):\n",
"\tDatos = scipy.io.loadmat(Link)\n",
"\n",
"\tDatos_Complejos = Datos['radar_I'] + 1j* Datos['radar_Q'] \n",
"\n",
"\tfase = Obtener_angulos(Datos_Complejos)\n",
"\tfase = fase - np.mean(fase)\n",
"\n",
"\treturn Datos, fase\n",
"\n",
"def Obtener_angulos(Datos):\n",
"\n",
"\tResultado = np.zeros(len(Datos))\n",
"\tDesfasaje = 0\n",
"\tfor i in range(len(Resultado)):\n",
"\n",
"\t\t### Siempre cargo el primer caso sin importar que\n",
"\t\tif i == 0:\n",
"\t\t\tAngulo = np.angle(Datos[0,0])\n",
"\t\t\tResultado[0] = Angulo\n",
"\t\t\tcontinue\n",
"\n",
"\t\t### Calculo el angulo del dato\n",
"\t\tAngulo_anterior = Angulo\n",
"\t\tAngulo = np.angle(Datos[i])\n",
"\n",
"\t\tif np.sign(Angulo_anterior) != np.sign(Angulo) and np.abs(Angulo) > 2:\n",
"\t\t\tDesfasaje += np.sum(np.pi * (-2)* np.sign(Angulo))\n",
"\n",
"\t\tResultado[i] = Desfasaje + Angulo[0]\n",
"\n",
"\treturn Resultado\n",
"\n",
"def Resampleo_de_la_señal(Señal, frecuencia_original, nueva_frecuencia):\n",
"\n",
"\tSeñal = np.ravel(Señal) # asegurar que es 1D\n",
"\n",
"\t### Genero el filtro pasabajos para luego hacer el resampling\n",
"\tfc = 2.0\t\t # Frecuencia de corte pasa-bajos [Hz]\n",
"\tnumtaps = 40\t# Orden del filtro FIR (más grande = transición más suave)\n",
"\n",
"\tnyq = fs / 2.0\n",
"\tb = firwin(numtaps, fc / nyq) # Filtro FIR pasa-bajo lineal-fase\n",
"\tSeñal_filt = lfilter(b, 1.0, Señal)\n",
"\n",
"\t### Busco el resampling rate y lo implemento\n",
"\n",
"\t#M = int(np.floor(fs / (4*fc))) # margen de seguridad del 25%\n",
"\tM = int(np.floor(frecuencia_original/(2*nueva_frecuencia)))\n",
"\tM = max(1, M)\t\t\t\t # evitar M=0\n",
"\n",
"\tSeñal_dec = resample_poly(Señal_filt, up=1, down=M)\n",
"\tfs_new = fs / M\n",
"\n",
"\treturn Señal_dec, fs_new\n",
"\n",
"### Filtro todas las filas para quedarme solo con las mediciones que no tienen escenarios\n",
"Tabla_Filtrada_Sin_Escenarios = Tabla_Indice\n",
"Escenarios_Unicos = Tabla_Indice['Escenario_principal'].unique()[1:]\n",
"for i in range(len(Escenarios_Unicos)):\n",
" Tabla_Filtrada_Sin_Escenarios = Tabla_Filtrada_Sin_Escenarios[Tabla_Filtrada_Sin_Escenarios['Escenario_principal'] != Escenarios_Unicos[i]]\n",
"\n",
"#Tabla_Filtrada_Sin_Escenarios['Escenario_principal'].unique()\n",
"\n",
"Tabla_Filtrada_Sin_Escenarios\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
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" Paciente Tiempo Posicion_medida_primaria \\\n",
"0 1 2016-12-20_11-25-55 PCG_front_radar_front \n",
"1 1 2016-12-20_11-30-47 PCG_front_radar_front \n",
"2 1 2016-12-20_11-36-19 PCG_front_radar_front \n",
"3 1 2016-12-20_11-46-09 PCG_front_radar_front \n",
"4 1 2016-12-20_11-49-00 PCG_front_radar_front \n",
".. ... ... ... \n",
"260 11 2017-02-16_11-26-02 PCG_front_radar_front \n",
"261 11 2017-02-16_10-53-42 PCG_front_radar_front \n",
"262 11 2017-02-16_11-02-10 PCG_front_radar_front \n",
"263 11 2017-02-16_10-50-44 PCG_front_radar_front \n",
"264 11 2017-02-16_11-53-10 PCG_front_radar_back \n",
"\n",
" Posicion_medida_secundaria Pos_sec_no_traducida Escenario_principal \\\n",
"0 radar_2L_PCG_4L Radar 2L PCG 4L NaN \n",
"1 radar_2L_PCG_4L Radar 2L PCG 4L NaN \n",
"2 radar_2L_PCG_4L Radar 2L PCG 4L NaN \n",
"3 radar_2L_PCG_4L Radar 2L PCG 4L NaN \n",
"4 radar_2L_PCG_4L Radar 2L PCG 4L NaN \n",
".. ... ... ... \n",
"260 PCG_2L_radar_4L PCG 2L Radar 4L angle_variation \n",
"261 PCG_2L_radar_4L PCG 2L Radar 4L NaN \n",
"262 PCG_2L_radar_4L PCG 2L Radar 4L NaN \n",
"263 PCG_2L_radar_xiphoid PCG 2L Radar Xiphoid NaN \n",
"264 PCG_2L_radar_back PCG 2L Radar back after_sport \n",
"\n",
" Escenario_secundario Escenario_terciario \\\n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN \n",
".. ... ... \n",
"260 30_degree_right NaN \n",
"261 NaN NaN \n",
"262 NaN NaN \n",
"263 NaN NaN \n",
"264 NaN NaN \n",
"\n",
" Path_datos \\\n",
"0 ColeccionDatos/datasets/measurement_data_perso... \n",
"1 ColeccionDatos/datasets/measurement_data_perso... \n",
"2 ColeccionDatos/datasets/measurement_data_perso... \n",
"3 ColeccionDatos/datasets/measurement_data_perso... \n",
"4 ColeccionDatos/datasets/measurement_data_perso... \n",
".. ... \n",
"260 ColeccionDatos/datasets/measurement_data_perso... \n",
"261 ColeccionDatos/datasets/measurement_data_perso... \n",
"262 ColeccionDatos/datasets/measurement_data_perso... \n",
"263 ColeccionDatos/datasets/measurement_data_perso... \n",
"264 ColeccionDatos/datasets/measurement_data_perso... \n",
"\n",
" Path_picos \n",
"0 ColeccionDatos/datasets/measurement_data_perso... \n",
"1 ColeccionDatos/datasets/measurement_data_perso... \n",
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"3 ColeccionDatos/datasets/measurement_data_perso... \n",
"4 ColeccionDatos/datasets/measurement_data_perso... \n",
".. ... \n",
"260 ColeccionDatos/datasets/measurement_data_perso... \n",
"261 ColeccionDatos/datasets/measurement_data_perso... \n",
"262 ColeccionDatos/datasets/measurement_data_perso... \n",
"263 ColeccionDatos/datasets/measurement_data_perso... \n",
"264 ColeccionDatos/datasets/measurement_data_perso... \n",
"\n",
"[265 rows x 10 columns]"
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