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Real-time spectral prediction of the brain during General Anesthesia

Project description

Predicting sedation depth with EEG

Electroencephalography (EEG) is a non-invasive method that records the electrical signals produced by the brain. These signals are displayed as waves and can be analysed to offer insight into the state of the brain as well as identify various conditions. EEG can also be used during anesthesia to track sedation depth but predicting how a patient’s brain will respond remains challenging. The ERC-funded AnalysisSpectralEEG project aims to improve EEG signal interpretation under sedation. Researchers will develop mathematical models and signal-processing algorithms as well as test the methodology in both adult and paediatric patients. Project results will help anesthesiologists avoid over-sedation and reduce post-operative complications.

Objective

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 algorithms dedicated to study the brain dynamics based combining transient motifs of the EEG signal. Finally, the present approach will be tested in different hospitals for adults and children.
We will specifically focus on predicting the depth of anesthesia. To conclude, the present method could provide new tools to practitioners to prevent deep sedation and possible post-anesthetic complications.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2024-POC

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Host institution

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 150 000,00
Address
RUE MICHEL ANGE 3
75794 PARIS
France

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
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Total cost

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Beneficiaries (1)

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