Assessing the patient’s metabolism with infra-red video acquisition

Critically ill patients are continuously and closely monitored in order to quickly intervene in cases where their state of health decreases abruptly. The Pediatric Intensive Care Unit (PICU) at the Centre Hospitalier Universitaire (CHU) Ste-Justine receives patients in critical condition ranging from newborns to 18-year-olds.

The heat distribution across the patient’s body surface provides information regarding modifications of the vascularization inside the body. More specifically, cold extremities (hands for instance) indicate the existence of a vascularization centralization that corresponds to a hyper-vascularization of the deep organs, which is detrimental to the superficial organs such as the skin in particular. The phenomenon of peripheral hypo-vascularization happens in situations of severe hemodynamic stress, in particular in the cases of heart failures, severe infections threatening the patient’s survival prognosis, or massive bleedings. Presently, physicians evaluate the peripheral hypo-vascularization by touching and pressing the patient’s extremities in order to assess their relative temperature.

Our goal is to support physician evaluations in the ICU by developing methods based on video analysis and machine learning to assess patient distress, thus addressing these observational limitations by providing objective, quantitative, and continuous monitoring.
Infra-Red (IR) imaging measures the temperature on the skin surface. This is a functional imaging technique since temperature distribution reflects metabolic activity that is caused by a change of vascularization. To measure and analyze a patient’s spatial and temporal body temperature profile, we plan to develop methods based on IR imaging by using an IR camera which will be positioned above the patient to acquire a thermal video of a patient’s skin.
The objective of this project is to enhance the IR videos using information provided by the RGB camera. We have already started acquiring IR videos in the ICU. We would like to enhance the presentation of these videos by using high boost filters applied on the RGB images and superposed onto the IR ones.
This project is executed in collaboration with the ICU team at Ste Justine Hospital.

 

Connaissances requises

• Aisance en programmation et environnements de développement
• Capacité de bien communiquer par écrit
• Facilité dans l’interaction avec un grand nombre d’intervenants et de professionnels
• Capacité de travailler, à la fois, en équipe et d’une façon autonome
• Une excellente motivation
• Un bon dossier académique

 

Programme d'études visé

Maîtrise avec projet, Maîtrise avec mémoire

Domaines de recherche

Technologies de l'information et des communications, Santé

Financement

Bourse de professeur

Autres informations

Date de début : Aussitôt que possible

Personne à contacter

Rita Noumeir | rita.noumeir@etsmtl.ca