Abstract
In the last years, the use of robotics and semantics inmedical context has become more and more essential to improvemedical doctors' performance. In this work, we present a framework which exploits reasoningand semantic techniques to assist medical doctors duringthe cricothyrotomy - a well-known life-saving procedure. Morespecifically, it first acquires data in real time from a cricothyrotomysimulator, when used by medical doctors, then it stores theacquired data into a scientific database and finally it exploits anActivity Detection Engine for finding expected activities, in orderto evaluate the medical doctors' performance in real time, that isvery essential for this kind of applications. In fact, an incorrectuse of the simulator promptly detected can save the patient's life. The conducted experiments using real data show the approachefficiency and effectiveness. Eventually, we also received positivefeedbacks by the medical personnel who used our prototype.
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