PROJECTS
MotherAI-Neo
Development of a Computerized Clinical Assessment System for Newborns
StatuS : in progress
Financing : AXA
The visual clinical examination of newborns in maternity is a crucial step in their care, enabling the detection of potential anomalies or pathologies, some of which may require urgent therapeutic intervention …
Recognition of Discomfort and Pain in Children - Project Rictus
Status : In Progress
This project addresses the management of pain by healthcare providers, emphasizing the importance of recognizing and assessing pain, especially in preverbal children.
The project involves recording video sequences and Kinect data of hospitalized children, which will be analyzed using facial recognition, sonographic processing programs, and a Kinect-type system. Proof of concept has already been achieved in collaboration with partners from CNRS. The project also includes correlating the analyses with analog pain assessment scales used in clinical settings.
The goal is to create an algorithm that integrates these results to develop a personalized computer-based pain assessment system, considering each child’s age, weight, and pathology. Ultimately, the project aims to create a computer-based pain monitoring system in a hospital setting, serving as a tool for patient monitoring and improving overall care.
Automated Characterization of Infantile Spasms - Project REASSESS
Status : In Progress
The REASSESS project focuses on developing a multimodal (video/sound) system for automatically detecting epileptic spasms and other epileptic manifestations in children.
The ultimate goal of this system is to improve the monitoring of epileptic patients, providing them with a better quality of life.
Visible and Infra-Red Generic Images for Neonatal Intelligent Assessment - Project Virginia
Status : In Progress
The Virginia project focuses on studying the thermoregulation of newborns.
The primary goal of this project is to detect any deterioration in the infant’s health as early as possible using their thermal profile. Thermal images of over 200 newborns will be captured at four different time points, corresponding to Apgar assessments at 1, 3, 5, and 10 minutes after birth.
The ultimate objective is to analyze the thermal evolution of these infants at these four key moments.
T3D - Smart Tracheotomy for Children
Status : In Progress
Tracheotomy in children is often a necessary measure to address various medical conditions. However, the production of standard tracheostomy tubes can present challenges in terms of adaptability and comfort for young patients.
This project aims to develop a smart and customized tracheostomy tube for children using 3D printing technology, taking into consideration the specific anatomical dimensions of pediatric patients.
