Adriana Margarita Hevia Masbernat
Contactless estimation of newborn vital parameters using a camera.
Rel. Gabriella Olmo, Letizia Bergamasco, Marco Gavelli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
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Abstract
This research, conducted in collaboration with the Neonatal Unit of AO Ordine Mauriziano Hospital in Turin and LINKS Foundation, presents non-contact RGB camera techniques for measuring heart rate and respiration rate in newborns as a promising alternative for monitoring vital signs without causing discomfort or increasing the risk of infection. Additionally, these techniques enhance objectivity and convenience in the pain assessment of newborns. While focusing on the Neonatal Intensive Care Unit (NICU) context, the technology has potential applications in remote physiological monitoring beyond clinical settings. A private dataset was elaborated to evaluate vital sign estimation techniques in newborns in the NICU based on different traditional algorithms for remote photoplethysmography.
These algorithms were selected based on their essential characteristics for the context, such as robustness to motion and lighting conditions
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