Healthcare Framework for Smarter Cities with bio-sensory data

Emirhan Enler, István Péntek, A. Adamkó
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引用次数: 6

Abstract

In recent years, innovations that occurred in technology caused an evolution in computational and communicational areas. These advancements allowed us to apply some capabilities of smartphones, smart devices, and wearable devices as well. Sensory data, produced by smart devices are essential for implementing a cognitive, scalable, autonomous, and extensible Smart City architecture. Based on it, we propose an architecture which could extend Smart City solutions in a way that recognizes new data sources and applies data categorization rules without introducing any side effects for maintenance while protecting data privacy definition that complies with the GDPR and providing an anonymized data repository that is publicly available for the client consumption to further produce useful, value-added data based on analytics. Considering the evolution of smart devices, it becomes a necessity to provide an architecture definition such as microservice orchestration that allows an easier adaption of new data types and domain requirements to keep the ever-maintainable state of the Smart City architecture in a technology-agnostic fashion. Our paper shows a small fragment of this field on a focus on eHealth.
基于生物传感数据的智慧城市医疗保健框架
近年来,技术上的创新引起了计算和通信领域的发展。这些进步使我们能够应用智能手机、智能设备和可穿戴设备的一些功能。智能设备产生的感官数据对于实现认知、可扩展、自主和可扩展的智慧城市架构至关重要。在此基础上,我们提出了一种架构,该架构可以扩展智慧城市解决方案,在不引入任何维护副作用的情况下识别新数据源并应用数据分类规则,同时保护符合GDPR的数据隐私定义,并提供一个匿名的数据存储库,可供客户消费,以进一步产生基于分析的有用的增值数据。考虑到智能设备的发展,有必要提供一个架构定义,比如微服务编排,它允许更容易地适应新的数据类型和领域需求,以一种与技术无关的方式保持智能城市架构的永远可维护的状态。我们的论文展示了这一领域的一小部分,重点是电子健康。
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