Hôpital TROUSSEAU
Paris, 75012, France
NCT Number: NCT05114070
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)
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All sexes
Observational
Paris, 75012, France
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
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
-Opposition of parental authority holders of a patient born after 2015
Decision of hypothermia thanks to EEG signal
Time frame: 6 months
Use of EEG signal in order to develop an algorithm
Assistance Publique - Hôpitaux de Paris
Other
Build a Decision Aid Tool to Help Emergency Intensive Care Specialists in the Context of Hypoxic Ischemic Encephalopathy. NEWBORN NEURO-DIGITAL STUDY
Acronym: NewbornDS
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