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Smart data synchronization in m-Health monitoring applications

机译:移动健康监控应用中的智能数据同步

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Nowadays, mobile applications/devices have become the trends, especially, when they were gradually shifted from basic communication services to supporting more sophisticated service provisioning. Mobile applications are usually very light, are nowadays likely to be often connected to the Internet, and can be used quite easily. However, these applications exhibit some challenges related to limited resources they have access to, including limited processing power, memory, storage size, battery power, and intermittent network connection. In fact, these considerations have to be taken seriously into consideration when developing mobile applications especially if those applications will be used for critical services, for example, to collect and report vital health data over a long period of time. In this paper, we study the use of mobile applications for monitoring patient's vital. Mobile devices, through an application, are connected to body-strapped biosensors to collect and synchronize these parameters with information systems. This synchronization should be done in such a way that the cost of synchronization is kept low and urgent readings are delivered as soon as possible. To optimize the synchronization process and reduce its cost, we propose and validate cost-oriented algorithms. A case study is developed to illustrate the applicability and effectiveness of our innovative techniques in making continuous monitoring an efficient process.
机译:如今,移动应用程序/设备已成为趋势,尤其是当它们逐渐从基本通信服务转变为支持更复杂的服务供应时。移动应用程序通常非常轻便,如今很可能经常连接到Internet,并且可以很容易地使用。但是,这些应用程序会遇到一些与它们只能访问的有限资源有关的挑战,包括有限的处理能力,内存,存储大小,电池电量和间歇性的网络连接。实际上,在开发移动应用程序时,尤其是如果这些应用程序将用于关键服务(例如,长时间收集和报告重要的健康数据)时,必须认真考虑这些注意事项。在本文中,我们研究了使用移动应用程序监视患者生命的关键。通过应用程序,移动设备被连接到身体受束缚的生物传感器,以收集这些参数并将其与信息系统同步。这种同步应以使同步的成本保持较低并尽快发送紧急读数的方式进行。为了优化同步过程并降低其成本,我们提出并验证了面向成本的算法。通过案例研究来说明我们的创新技术在使连续监测成为有效过程的过程中的适用性和有效性。

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