A Remote Cyber-Physical Patient Monitoring System Using Computer Vision Technologies

The recent rapid spread of infectious diseases has significantly strained healthcare systems globally, presenting risks to both patients and frontline healthcare workers. In such scenarios, critically ill individuals require hospitalization and treatment by specialized intensive care teams. With the support of increasingly intelligent, personalized, and assertive computing technologies, health professionals can reach hospitalized patients to make decisions, even when the disease involves a high risk of contamination. This work presents a new remote cyber-physical patient monitoring system using Computer Vision technologies for decision-making support of the health team mainly working in Intensive Care Units. The system can assist hospitalized patients by continuously and contactlessly monitoring their vital functions from the screen of any multiparametric monitor model, thus being monitor-agnostic. Moreover, in support of such situations, it can alert and detect critical problems before they deteriorate and help provide comprehensive care with minimal doctor-patient interaction.