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10 changes: 5 additions & 5 deletions map_estimation_starting_kit.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
"\n",
"# Non-invasive estimation of the MAP using PPG\n",
"\n",
"<i> Thomas Moreau (Inria) </i>"
"<i> Thomas Moreau (Inria), François Caud (DATAIA - Université Paris-Saclay) </i>"
]
},
{
Expand All @@ -20,7 +20,7 @@
"source": [
"\n",
"<div style=\"text-align: center;\">\n",
"<img src=img/GA_monitor_1.png width=600px alt=\"Monitor in a operating room\"></img>\n",
"<img src=\"https://github.com/ramp-kits/map_estimation/raw/main/img/GA_monitor_1.png\" width=600px alt=\"Monitor in a operating room\"></img>\n",
"</div>\n",
"\n",
"\n",
Expand All @@ -30,14 +30,14 @@
"\n",
"\n",
"<div style=\"text-align: center;\">\n",
"<img src=img/cuff.avif width=350px alt=\"Cuff for blood pressure measurment\"></img>\n",
"<img src=\"https://github.com/ramp-kits/map_estimation/raw/main/img/cuff.avif\" width=350px alt=\"Cuff for blood pressure measurment\"></img>\n",
"</div>\n",
"\n",
"A potential solution to this problem is to use non-invasive monitoring signals which are routinely collected, like the electrocardiogram (ECG) photoplethysmogram (PPG) signal, to estimate the mean arterial pressure (MAP) using AI. The PPG signal is a non-invasive signal that can be easily acquired using a pulse oximeter. The MAP is a measure of the average blood pressure in an individual's arteries during one cardiac cycle.\n",
"\n",
"<div style=\"text-align: center;\">\n",
"<img src=img/ecg.avif height=250px alt=\"ECG sensors\"></img>\n",
"<img src=img/ppg.png height=250px alt=\"PPG sensor\"></img>\n",
"<img src=\"https://github.com/ramp-kits/map_estimation/raw/main/img/ecg.avif\" height=250px alt=\"ECG sensors\"></img>\n",
"<img src=\"https://github.com/ramp-kits/map_estimation/raw/main/img/ppg.png\" height=250px alt=\"PPG sensor\"></img>\n",
"</div>\n",
"\n",
"The goal of this challenge is to estimate the MAP from the non-invasive signals. The dataset consists of window of 10 seconds of PPG and ECG signals, with the related patient information (age, gender, weight, height, etc.) and the MAP measured with an invasive method.\n",
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