Abstract
In the last years, the use of robotics and semantics in medical context has become more and more essential to improve medical doctors' performance.
In this work, we present a framework which exploits reasoning and semantic techniques to assist medical doctors during the cricothyrotomy - a well-known life-saving procedure. More specifically, it first acquires data in real time from a cricothyrotomy simulator, when used by medical doctors, then it stores the acquired data into a scientific database and finally it exploits an Activity Detection Engine for finding expected activities, in order to evaluate the medical doctors' performance in real time, that is very essential for this kind of applications. In fact, an incorrect use of the simulator promptly detected can save the patient's life.
The conducted experiments using real data show the approach efficiency and effectiveness. Eventually, we also received positive feedbacks by the medical personnel who used our prototype.