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Contextual activity based Healthcare Internet of Things, Services, and People (HIoTSP): An architectural framework for healthcare monitoring using wearable sensors

机译:基于上下文活动的医疗保健物联网,服务和人员(HIoTSP):使用可穿戴式传感器进行医疗保健监视的架构框架

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Healthcare industry is gaining a lot of attention due to its technological advancement and the miniaturization in the form of wearable sensors. loT-driven healthcare industry has mainly focused on the integration of sensors rather than the integration of services and people. Nonetheless, the framework for loT-driven healthcare applications are significantly lacking. In addition, the use of semantics for ontological reasoning and the integration of mobile applications into a single framework have also been ignored in many existing studies. This work presents the implementation of Healthcare Internet of Things, Services, and People (HIoTSP) framework using wearable sensor technology. It is designed to achieve the low-cost (consumer devices), the easiness to use (interface), and the pervasiveness (wearable sensors) for healthcare monitoring along with the integration of services and agents like doctors or caregivers. The proposed framework provides the functionalities for data acquisition from wearable sensors, contextual activity recognition, automatic selection of services and applications, user interface, and value-added services such as alert generation, recommendations, and visualization. We used the publicly available dataset, PAMAP2 which is a physical activity monitoring dataset, for deriving the contextual activity. Fall and stress detection services are implemented as case studies for validating the realization of the proposed framework. Experimental analysis shows that we achieve, 87.16% accuracy for low-level contextual activities and 84.06%-86.36% for high-level contextual activities, respectively. We also achieved 91.68% and 82.93% accuracies for fall and stress detection services, respectively. The result is quite satisfactory, considering that all these services have been implemented using pervasive devices with the low-sampling rate. The real-time applicability of the proposed framework is validated by performing the response time analysis for both the services. We also provide suggestions to cope with the scalability and security issues using the HIoTSP framework and we intend to implement those suggestions in our future work. (C) 2018 Elsevier B.V. All rights reserved.
机译:由于其技术进步和可穿戴式传感器形式的小型化,医疗保健行业获得了广泛的关注。物联网驱动的医疗保健行业主要集中于传感器的集成,而不是服务和人员的集成。尽管如此,仍然缺少以loT为驱动力的医疗保健应用程序的框架。此外,在许多现有研究中也忽略了将语义用于本体论推理以及将移动应用程序集成到单个框架中。这项工作介绍了使用可穿戴传感器技术的医疗保健物联网,服务和人员(HIoTSP)框架的实现。它旨在实现低成本(消费型设备),易用性(接口)和普及性(可穿戴传感器),以实现医疗保健监控以及诸如医生或护理人员之类的服务和代理的集成。所提出的框架提供了从可穿戴式传感器获取数据,上下文活动识别,服务和应用程序的自动选择,用户界面以及诸如警报生成,建议和可视化等增值服务的功能。我们使用了公开可用的数据集PAMAP2(这是一项体育活动监测数据集)来导出上下文活动。跌倒和压力检测服务作为案例研究来实施,以验证所提出框架的实现。实验分析表明,对于低级别的上下文活动,我们分别达到87.16%的准确性,而对于高级的上下文活动则达到84.06%-86.36%。我们的跌倒和压力检测服务的准确度分别达到91.68%和82.93%。考虑到所有这些服务都是使用普及率低的采样设备实现的,因此结果非常令人满意。通过执行两种服务的响应时间分析,验证了所提出框架的实时适用性。我们还提供了使用HIoTSP框架解决可扩展性和安全性问题的建议,并且我们打算在未来的工作中实施这些建议。 (C)2018 Elsevier B.V.保留所有权利。

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