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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >IoMT Platform for Pervasive Healthcare Data Aggregation Processing and Sharing Based on OneM2M and OpenEHR
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IoMT Platform for Pervasive Healthcare Data Aggregation Processing and Sharing Based on OneM2M and OpenEHR

机译：基于OneM2M和OpenEHR的IoMT平台用于广泛的医疗数据聚合处理和共享

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摘要

Pervasive healthcare services have undergone a great evolution in recent years. The technological development of communication networks, including the Internet, sensor networks, and M2M (Machine-to-Machine) have given rise to new architectures, applications, and standards related to addressing almost all current e-health challenges. Among the standards, the importance of OpenEHR has been recognized, since it enables the separation of medical semantics from data representation of electronic health records. However, it does not meet the requirements related to interoperability of e-health devices in M2M networks, or in the Internet of Things (IoT) scenarios. Moreover, the lack of interoperability hampers the application of new data-processing techniques, such as data mining and online analytical processing, due to the heterogeneity of the data and the sources. This article proposes an Internet of Medical Things (IoMT) platform for pervasive healthcare that ensures interoperability, quality of the detection process, and scalability in an M2M-based architecture, and provides functionalities for the processing of high volumes of data, knowledge extraction, and common healthcare services. The platform uses the semantics described in OpenEHR for both data quality evaluation and standardization of healthcare data stored by the association of IoMT devices and observations defined in OpenEHR. Moreover, it enables the application of big data techniques and online analytic processing (OLAP) through Hadoop Map/Reduce and content-sharing through fast healthcare interoperability resource (FHIR) application programming interfaces (APIs).
机译：近年来，无处不在的医疗服务经历了巨大的发展。通信网络的技术发展，包括Internet，传感器网络和M2M（机器对机器），已经产生了与解决几乎所有当前电子医疗挑战有关的新架构，应用程序和标准。在这些标准中，OpenEHR的重要性已得到认可，因为它可以将医疗语义与电子健康记录的数据表示分开。但是，它不满足与M2M网络或物联网（IoT）场景中的电子医疗设备互操作性相关的要求。此外，由于数据和源的异质性，缺乏互操作性阻碍了新数据处理技术的应用，例如数据挖掘和在线分析处理。本文提出了一种用于广泛医疗保健的医疗物联网（IoMT）平台，该平台可确保基于M2M的体系结构的互操作性，检测过程的质量和可伸缩性，并提供用于处理大量数据，知识提取和处理的功能。常见的医疗服务。该平台使用OpenEHR中描述的语义进行数据质量评估，并通过IoMT设备与OpenEHR中定义的观察结果的关联来存储医疗数据的标准化。此外，它通过Hadoop Map / Reduce启用大数据技术和在线分析处理（OLAP）的应用，并通过快速医疗保健互操作性资源（FHIR）应用程序编程接口（API）进行内容共享。

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