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Automatic evaluation of medical doctors' performances while using a cricothyrotomy simulator

机译:使用环切开胸模拟器时自动评估医生的表现

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摘要

Cricothyrotomy is a life-saving procedure performed when an airway cannot be established through less invasive techniques. One of the main challenges of the research community in this area consists in designing and building a low-cost simulator that teaches essential anatomy, and providing a method of data collection for performance evaluation and guided instruction as well. In this paper, we present a Cyber Physical System designed and developed for activity detection in the medical context. In more detail, we first acquire data in real time from a cricothyrotomy simulator, when used by medical doctors, then we store the acquired data into a scientific database and finally we use an Activity Detection Engine for finding expected activities, in order to automatically evaluate the medical doctors' performances when using the simulator. Some preliminary experiments using real data show the approach efficiency and effectiveness. Eventually, we also received positive feedbacks by the medical personnel who used our prototype.
机译:当不能通过微创技术建立气道时,进行开胸手术是一种挽救生命的手术。该领域研究社区的主要挑战之一是设计和构建一种低成本的模拟器,以教授基本的解剖方法,并提供一种用于性能评估和指导教学的数据收集方法。在本文中,我们介绍了一种为医学环境中的活动检测而设计和开发的网络物理系统。更详细地讲,我们首先在医生使用环切开术模拟器时实时获取数据,然后将获取的数据存储到科学数据库中,最后我们使用活动检测引擎来查找预期活动,以便自动评估使用模拟器时医生的表现。一些使用实际数据的初步实验表明了该方法的效率和有效性。最终,我们还收到了使用我们的原型的医务人员的积极反馈。

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