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neonAtal motoR paTtErn autoMatIc analySis
Sponsor: Assistance Publique - Hôpitaux de Paris
Summary
This project consists in developing a computerized clinical assessment system for newborns that takes into account the four major criteria of the various clinical scales: facial mimicry, cry, posture and movement. Classification of motor patterns according to gestational age at birth The aim of this work is the automated identification of pathological motor patterns related to anoxo-ischemic encephalopathy/brachial plexus paralysis/early neonatal bacterial infection/stroke/etc ...
Official title: Neonatal Motor Pattern automatIc Analysis
Key Details
Gender
All
Age Range
1 Day - 15 Days
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2024-09-24
Completion Date
2027-01
Last Updated
2025-03-20
Healthy Volunteers
Yes
Locations (1)
Department of paediatric neurological care and intentive care unity (PICU), Raymond Poincaré hospital - APHP
Garches, France