The emergence of the Internet of Things (IoT) in the medical field has led to the massive deployment of a myriad of medical connected objects (MCOs). These MCOs are being developed and implemented for remote healthcare monitoring purposes including elderly patients with chronic diseases, pregnant women, and patients with disabilities. Accordingly, different associated challenges are emerging and include the heterogeneity of the gathered health data from these MCOs with ever‐changing contexts. These contexts are relative to the continuous change of constraints and requirements of the MCOs deployment (time, location, state). Other contexts are related to the patient (medical record, state, age, sex, etc.) that should be taken into account to ensure a more precise and appropriate treatment of the patient. These challenges are difficult to address due to the absence of a reference model for describing the health data and their sources and linking these data with their contexts. This article addresses this problem and introduces a semantic‐based context‐aware system (IoT Medicare system) for patient monitoring with MCOs. This system is based on a core domain ontology (HealthIoT‐O), that is, designed to describe the semantic of heterogeneous MCOs and their data. Moreover, an efficient interpretation and management of this knowledge in diverse contexts are ensured through SWRL rules such as the verification of the proper functioning of the MCOs and the analysis of the health data for diagnosis and treatment purposes. A case study of gestational diabetes disease management is proposed to evaluate the effectiveness of the implemented IoT Medicare system. An evaluation phase is provided and focuses on the quality of the elaborated semantic model and the performance of the system.

中文翻译：

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具有语义支持和上下文感知的医疗物联网监控系统

医疗领域中物联网（IoT）的出现导致大量医疗连接对象（MCO）的大规模部署。这些MCO的开发和实施是为了远程医疗监控，包括患有慢性疾病的老年患者，孕妇和残疾患者。因此，出现了各种相关的挑战，其中包括在不断变化的环境中从这些MCO收集的健康数据的异质性。这些环境与MCO部署的约束和要求（时间，位置，状态）的不断变化有关。应考虑与患者有关的其他情况（病历，状态，年龄，性别等），以确保对患者进行更精确和适当的治疗。由于缺乏参考模型来描述健康数据及其来源并将这些数据与其上下文关联，因此这些挑战很难解决。本文解决了这个问题，并介绍了基于语义的上下文感知系统（IoT Medicare系统），用于使用MCO进行患者监视。该系统基于核心域本体（HealthIoT-O），该本体旨在描述异构MCO及其数据的语义。此外，通过SWRL规则（例如，对MCO的正常功能进行验证以及对用于诊断和治疗目的的健康数据进行分析），可以确保在各种情况下对该知识的有效解释和管理。提出了妊娠糖尿病疾病管理的案例研究，以评估已实施的物联网Medicare系统的有效性。