A Medical Tele-Tutoring System For The Emergency Service

2021 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS)(2021)

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摘要
Currently, most of the Emergency Service interventions 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.
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关键词
Medical tele-tutoring, Telemedicine, Emergency Health Service, wireless system, WebRTC, Machine Learning
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