Artificial intelligence for the evaluation of profiles, trajectories and management of vulnerability in health: COVID-19, frailty of the elderly and cancer
EEG Perf
Frontal EEG monitoring of cerebral perfusion (Bernoulli Fellowship)
Completed
01/11/2021
-
31/10/2022
Main objectives
The aim of the project is to develop an intraoperative cerebral function monitoring system based on a new criterion of cerebral perfusion quality.

Challenge
One of the anaesthetist's main objectives is to maintain proper organ function by ensuring that organs are well perfused and oxygenated.
Hypoperfusion during general anaesthesia (perfusion that is too low) increases the risk of post-operative organ dysfunction, and can therefore have serious consequences for the patient's health. Among the noble organs, the brain is the most sensitive to intraoperative hypotension, due to its high metabolic activity. However, no specific biomarker of cerebral hypoperfusion is currently available for routine use.
The aim of this fellowship is to study how to easily detect cerebral hypoperfusion during general anesthesia using routinely available EEG biomarkers.
These biomarkers will help determine the optimal personalized blood pressure level to be maintained under general anesthesia, and ultimately reduce postoperative complications.
Methodology/Technology used
signal processing, time series, transcranial doppler, electroencephalogram
Publications
Contacts
Elsa Manquat ()
Members
AP-HP, Inria
Useful links
https://alphabrain.fr/
Other projects
Description
Learning a deep representation of patient records for event prediction and patient segmentation
Names of partners involved
AP-HP, Inria