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A Scalable, Self-Adaptive Architecture for Remote Patient Monitoring

机译:可扩展的自适应架构,用于远程患者监护

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摘要

Density of medical clinics, ease of access to doctors, the age pyramid of the population -- these are differentiating factors among patients living in urban or rural areas which may affect the probability to survive certain diseases and attacks dramatically. The German Fontane project, a collaboration of medical experts, IT researchers and companies, focuses on remote monitoring and aftercare facilities for stroke patients and patients with heart diseases in rural Brandenburg. Within this paper, we discuss central requirements on the object-oriented self-adaptive middleware being developed for Fontane. We describe the overall system requirements, and show our approach for combining real-time data streaming interaction with classical object-oriented remote calls in one distributed middleware stack. The resulting system will form the foundation for transmission of real-time data from devices at patients' home to the remote tele-medicine monitoring center.
机译:医疗诊所的密度,医生的便利性,人口的年龄金字塔-这些是居住在城市或农村地区患者中的差异化因素,这些因素可能会严重影响某些疾病幸存和发作的可能性。由医疗专家,IT研究人员和公司合作的德国Fontane项目致力于为勃兰登堡农村地区的中风患者和心脏病患者提供远程监控和后期护理设施。在本文中,我们讨论了为Fontane开发的面向对象的自适应中间件的主要要求。我们描述了整个系统的需求,并展示了将实时数据流交互与经典的面向对象的远程调用结合在一个分布式中间件堆栈中的方法。最终的系统将构成将实时数据从患者家中的设备传输到远程远程医疗监控中心的基础。

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