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Build a Decision Aid Tool to Help Emergency Intensive Care Specialists in the Context of Hypoxic Ischemic Encephalopathy

NCT05114070 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 106

Last updated 2024-02-05

No results posted yet for this study

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)

Conditions

  • Encephalopathy

Interventions

OTHER

Decision of hypothermia

Decision of hypothermia thanks to EEG signal

Sponsors & Collaborators

  • Assistance Publique - Hôpitaux de Paris

    lead OTHER

Eligibility

Max Age
2 Days
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-09-08
Primary Completion
2023-09-08
Completion
2023-09-08

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05114070 on ClinicalTrials.gov