An observational study in Encephalopathy, sponsored by Assistance Publique - Hôpitaux de Paris. Completed at 1 site in France. Open to participants aged Up to 2 Days. Per ClinicalTrials.gov, last updated 2024-02-05.
Sponsored by Assistance Publique - Hôpitaux de Paris · Observational
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)
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
758 studies on the registry are indexed under Brain Diseases; 202 are open to participants now.
This study's enrollment of 106 is close to the median of 100 across 265 observational studies indexed under Brain Diseases.
Browse Brain Diseases studies →Assistance Publique - Hôpitaux de Paris is the lead sponsor of 3,505 studies on the registry; 1,006 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Babies born within a context of HIE (Hypoxic Ischemic Encephalopathy)
Exclusion Criteria:
-Opposition of parental authority holders of a patient born after 2015
Decision of hypothermia thanks to EEG signal
Decision of hypothermia protocol start
Use of EEG signal in order to develop an algorithm
Time frame: 6 months
This study is completed, as verified in Feb 2024. You cannot join it, but the record below documents what was studied.
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Assistance Publique - Hôpitaux de Paris