一个云端的参考架构,用于交织健康数字领域.
Adriano Tramontano1, Oscar Tamburis1, Giulio Perillo2
1National Research Council of Italy, Institute of Biostructures and Bioimaging (IBB-CNR), Naples, Italy.
LinkAll是一个新的架构模型,用于实时远程监测人类,动物和环境健康. 它使用边缘计算和物联网 (IoT) 进行集成数据分析,支持一个 (数字) 健康目标.
科学领域:
- 数字健康数字健康
- 环境监测 环境监测
- 生物医学信息学 生物医学信息学
背景情况:
- 远程监控系统需要在各种健康领域进行综合数据分析.
- 现有的系统往往缺乏灵活性来整合各种数据源,并确保交叉引用能力.
- 一个 (数字) 健康倡议强调健康监测的互联性.
研究的目的:
- 介绍LinkAll,这是一个用于实时交叉引用数据分析的新型架构模型.
- 在不同的远程监控场景中展示LinkAll的应用.
- 在整合,数据收集和交叉引用方面评估LinkAll的表现.
主要方法:
- 利用边缘计算和物联网 (IoT) 原则来处理数据.
- 开发了两个原型系统:一个用于城市绿地监测,另一个用于老年人家庭护理.
- 评估基于与现有基础设施的整合,生物物理参数收集和数据交叉引用的系统性能.
主要成果:
- 实施的两种系统都显示出有效的插入性和交叉引用性.
- LinkAll成功地将各种传感器和设备集成到现有基础设施中.
- 该模型提供了实时,机器可操作的见解,满足利益相关者的要求.
结论:
- LinkAll的可插件性和交叉引用性增强了一个 (数字) 健康的数据集成.
- 遵守FAIR原则可确保数据管理的稳定性和可访问性.
- 该架构模型支持在相互连接的健康监测系统中改进决策.
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