Available technologies, Engineering, Healthcare, Life Sciences, Medical devices, Medical Hardware, Medical Software, Signal and Data Processing


A non-invasive alternative 

Market opportunity for respiratory monitoring in intensive care

  • Vital signs must be continuously measured in pediatric intensive care unit (PICU) to ensure patient’s safety
  • Under mechanical ventilation, all parameters are directly measured with the ventilator
  • Unmet need in spontaneous breathing patients, where respiratory parameters are roughly estimated:
    • Erroneous measurement of respiratory rate (RR) that is sensitive to movement
    • No tidal volume (Vt) assessment
    • Subjective estimation of retraction signs
  • Vital signs monitoring devices global market expected to reach USD 7,3 billion by 2025
  • Neonatal intensive care respiratory devices global market expected to reach USD 2,1 billion by 2027

A non-invasive breath monitoring device

  • A new contactless breath monitoring system based on a computer vision method
  • Efficient positioning of 2 RGB-D (red green blue-depth) cameras at different view angles in the PICU room
  • Very large spatial coverage of the thoraco-abdominal (TA) zone
  • Depth information exploited to reconstruct a 3D surface of a patient’s torso

High performance at estimating respiratory parameters

  • High temporal and spatial resolution
  • Very accurate, precise and quantitative estimation of Vt, RR, minute ventilation and inspiratory time
  • The first method for the objective assessment of retraction signs and TA asynchrony (TAA)
  • System compared to the gold standard method (mechanical ventilator) at the PICU of Ste-Justine University Hospital Center


  • PCT application
  • In-licensing opportunity for technology development and commercialization


If you are interested by this technology, please contact :

Sébastien Chaffre, Director
sebastien.chaffre@axelys.ca, (438) 728-7580


École de Technologie Supérieure, Université de Montréal and CHU Ste-Justine

Main inventors

Photo Rita Noumeir, Inventor

Dr. Rita Noumeir, Full professor, Department of Electrical Engineering, École de Technologie Supérieure

Rita Noumeir is a full professor at the Department of Electrical Engineering, at the École de Technologie Superieure, in Montreal. Her main research interest is in applying artificial intelligence methods to create decision support systems. She has extensively worked in healthcare information technology and image processing. She has also provided consulting services in large scale software architecture, healthcare interoperability, workflow analysis, technology assessment and image processing, for several international software and medical companies including Canada Health Infoway. Prof. Noumeir holds a Ph.D. and Master’s degrees in Biomedical Engineering from École Polytechnique of Montreal.

Photo Philippe Jouvet, Inventor

Dr. Philippe Jouvet, Pediatric intensivist, Ste-Justine Hospital

Philippe Jouvet obtained his MD in 1989 at Paris V University and MD speciality in Pediatrics and MD subspeciality in Intensive Care at Paris V University in 1991. He completed a PhD at Paris VII University. He joined the pediatric intensive care unit of Sainte Justine Hospital in Montreal, in 2004. Dr Philippe Jouvet is full professor in Pediatrics at the University of Montreal, director of Respiratory Research network of Québec. His research program is on evaluative research on new technologies in University Hospital including research on artificial intelligence and clinical decision support systems. He has published more than 190 papers in peer reviewed journals, 60 book sections and gave more than 140 lectures in congresses (https://www.researchgate.net/profile/Philippe_Jouvet).

haythem Rehouma

Haythem Rehouma, Ph.D., Postdoctoral research fellow, Biomedical engineering, École de Technologie supérieure

Haythem Rehouma received the B.S. degree in telecommunications engineering and the M.S. degree in Communications Systems (SysCom), from the National Engineering School of Tunis, Tunisia, in 2010 and 2011, respectively, and the Ph.D. degree in Biomedical Engineering from École de Technologie supérieure (ÉTS), Montreal, QC, Canada, in 2019. Currently, he is a postdoctoral research fellow in Biomedical engineering at École de Technologie supérieure (ÉTS), University of Quebec, Montreal, QC, Canada. His research interest covers computer science, new technologies, IoT, Cybersecurity, Machine learning, acquisition systems and models for next-generation health monitoring techniques, with a particular focus on breathing assessment using computer vision algorithms and deep learning algorithms. He is combining his engineering expertise with his medical knowledge to design plans and deploy sophisticated solutions in biomedical field.

Photo Sandrine Essouri, Inventor

Dr. Sandrine Essouri, Associate professor in Pediatrics, Ste-Justine Hospital

Sandrine Essouri obtained his MD in 2000 at Paris VII University and MD speciality in Pediatrics in 2001 and MD subspeciality in Intensive Care at Paris XI University in 2003. She completed a PhD in respiratory physiology at Paris XII University in 2007. She worked with the pediatric intensive care unit of Sainte Justine Hospital in Montreal since 2013 and she joined the pediatric unit of Sainte Justine Hospital in 2015. Dr Sandrine Essouri is associate professor in Pediatrics at the University of Montreal. Her research program is on ventilation strategy mainly non-invasive ventilation in University Hospital including research on clinical decision support systems. She has published more than 50 papers in peer reviewed journals.