针对数据互操作性问题的多层个人心脏监测系统原型

Eko Sakti Pramukantoro, A. Gofuku
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引用次数: 1

摘要

个人心脏状况监测作为心血管疾病的预防机制具有优势。该系统可以使用可穿戴传感器设备以及物联网方法来开发。然而,在尝试开发基于物联网的系统时,经常会出现数据互操作性问题。数据互操作性来自不同的数据格式,以保存由健康传感器设备产生的数据。当前的解决方案可以是云或基于边缘的中间件,两者都有各自的优点和缺点。本研究提供多层心脏状况监测,结合云和基于边缘的中间件来解决数据互操作性问题。边缘层的中间件使用JSON格式和Restful API标准执行数据规范化,传输数据以与物联网应用程序通信。另一方面,在云端,它提供异构数据存储,能够存储各种健康数据格式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prototype of multi-layer personal cardiac monitoring system for data interoperability problem
Personal monitoring of heart conditions offers an advantage as a prevention mechanism for cardiovascular disease. This system can be developed using a wearable sensor device along with IoT approach. However, the data interoperability problem often arises in attempt to develop an IoT-based system. Data interoperability comes from different data formats to save the data that are produced by health sensor devices. The current solution can be either cloud or edge-based middleware which both have their own merits and drawbacks. This study offers multi-layer monitoring heart conditions that combines cloud and edge-based middleware to solve data interoperability. The middleware on the edge layer performs data normalization using the JSON format and Restful API standard to transfer data to communicate with an IoT application. On the other hand, at the cloud side, it provides heterogeneous data storage with the ability to store various health data formats.
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