CORDIS Project
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This project aims to develop a mathematical model to predict brain responses to sedation during anesthesia using EEG signals. By analyzing frequency bands and brain dynamics, the goal is to enhance patient safety by preventing deep sedation and related complications.
A general methodology based on modeling, data processing and classification is still lacking to predict the brain response to sedation during anesthesia.
In this project, we propose to develop a mathematical approach of the brain signal revealed by EEG behavior.
We will use modeling to identify features present in frequency bands, to predict the brain response.
Using spectral analysis, we will study the time-frequency of the dominant frequency band of the EEG signal.
We propose to develop algori…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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