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Clinical Trial Summary

The project aims at designing a machine learning solution able to recognize characteristics signals patterns of brain damages in full term babies born within a context of Hypoxic Ischemic Encephalopathy (HIE)


Clinical Trial Description

Retrospective study based on a digital EEG signal library intending to design, train and test an efficient AI solution for hypothermia protocol start indications. The output of the Project is to make available to pediatric resuscitation units an adequate tool to guide them in the decision of hypothermia protocol start in a general context of neurophysiologist competence scarcity. EEG signal that would allow the algorithm design will be based on several parameters of the conventional EEG and not only on signal amplitude ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05114070
Study type Observational
Source Assistance Publique - Hôpitaux de Paris
Contact Anne-Isabelle VERMERSCH, MD, PhD
Phone 144736904
Email [email protected]
Status Not yet recruiting
Phase
Start date December 15, 2021
Completion date December 15, 2022

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