A medical tele-tutoring system for the Emergency Service

Currently, most of the Emergency Service interven- tions involve as operators on board of ambulances only nurses and volunteers, without the presence of doctors. In this work REC-VISIO 118, a new system of remote medical tutoring to the operators involved in emergency interventions, is illustrated. The system is composed by a subsystem worn by the operators and by a web application for the doctors in the Operations Center. The wearable subsystem collects the video of the operator visual perspective of the scene of action, locally stabilizes the video using Machine Learning algorithms, and sends the content using Web Real-Time Communication to the Emergency Service Operations Center through the 4G network. Here the application receives the call allowing the doctors to directly follow and support the actions of the operators, playing an important role in providing a prompt pre-diagnosis that is particularly crucial in the case of time-dependent pathologies such as heart attacks, heart failure, or stroke.