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首页> 外文会议>IEEE Annual Computer Software and Applications Conference >Development of a Performance Visualization Model of Basic Life Support Training with Feedback Devices for Mobile Application
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Development of a Performance Visualization Model of Basic Life Support Training with Feedback Devices for Mobile Application

机译：带有移动设备反馈设备的基本生命支持培训性能可视化模型的开发

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Sudden cardiac arrest is one of the most life-threatening situations. The chance of survival from this emergency increases if the victims receive early basic life support (BLS) including cardiopulmonary resuscitation (CPR) and, if available, defibrillation using automated external defibrillator (AED). This emergency occurs mostly out-of-hospital. Consequently, lay rescuers are the first to react before medical personnel arrives. BLS training is one of the keys providing readiness for bystanders which lead to improving cardiac arrest outcome. Use of feedback devices during BLS training has been shown to improve the performance of learners. Despite the fact that there is a large number of applications in the market aiming to support BLS training, surprisingly, none of them is designed specifically to illustrate data from feedback devices and follow the standard guidelines. This paper discusses the development of a performance visualization model for BLS training with the use of sensor-embedded CPR manikin and AED trainer. The proposed model covers all aspects of BLS training which allow real-time monitoring and assessing the quality of the training. To evaluate the proposed model, an Android application has been implemented and tested in actual BLS training sessions. The prototype demonstrates the potential of using the proposed model to design a mobile application for high-quality BLS training. Total of 23 certified instructors who used the application was asked to complete perceived usability test. The results of the questionnaire indicate that the proposed model has fulfilled in both usefulness and ease of use.
机译：突然的心脏骤停是最危及生命的情况之一。如果受害者获得包括心肺复苏（CPR）在内的早期基本生命支持（BLS），并使用自动体外除颤器（AED）除颤（如果有），则可以从这种紧急情况中存活下来。这种紧急情况主要发生在医院外。因此，在医疗人员到达之前，非专业的抢救者是第一个做出反应的人。 BLS培训是为旁观者做好准备的关键因素之一，它可以改善心脏骤停的结果。已经证明在BLS培训期间使用反馈设备可以提高学习者的表现。尽管市场上有大量旨在支持BLS培训的应用程序，但令人惊讶的是，这些应用程序都没有专门设计用来说明来自反馈设备的数据并遵循标准准则。本文讨论了使用传感器嵌入式CPR人体模型和AED训练器进行BLS训练的性能可视化模型的开发。提议的模型涵盖了BLS培训的所有方面，这些方面允许实时监控和评估培训的质量。为了评估建议的模型，已在实际的BLS培训课程中实施并测试了Android应用程序。该原型演示了使用建议的模型来设计用于高质量BLS培训的移动应用程序的潜力。要求使用该应用程序的23名认证讲师完成感知的可用性测试。问卷调查的结果表明，所提出的模型在实用性和易用性方面都得到了满足。

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