High impact blow detection over a reactive Mobile-Cloud Framework

Eric L. Luster, Hong Wu, Elodie Billionniere
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Abstract

Brain injury is quite common in athletes due to the frequent and high level of impact, especially in football and hockey. One of the most challenging problems faced by medical personnel responsible for the health care of athletes is the recognition and management of concussions [1, 2]. With the advancements in sensor technology, medical imaging, mobile devices, wireless communications, and cloud computing, we have opportunities to monitor and analyze the impact between athletes in real time. The research will assist team doctors to immediately identify head injuries among athletes and drive the development of new technology to be used for protecting the athletes more efficiently. We propose a Reactive Mobile Cloud-based framework that will be utilized to effectively manage both the textual and image data in DICOM format; allowing us to create a repository of information on each player throughout the length of their career.
基于响应式移动云框架的高冲击打击检测
脑损伤在运动员中是相当普遍的,因为频繁和高水平的冲击,特别是在足球和曲棍球中。负责运动员医疗保健的医务人员面临的最具挑战性的问题之一是脑震荡的识别和管理[1,2]。随着传感器技术、医学成像、移动设备、无线通信和云计算的进步,我们有机会实时监测和分析运动员之间的影响。这项研究将帮助队医立即识别运动员的头部损伤,并推动新技术的发展,以更有效地保护运动员。我们提出了一个基于响应式移动云的框架,该框架将用于有效地管理DICOM格式的文本和图像数据;这样我们就可以建立一个关于每个球员整个职业生涯的信息库。
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