The need to remotely monitor people with disabilities has increased due to growth in their number in recent years. The democratization of Internet of Things (IoT) devices facilitates the implementation of healthcare-monitoring systems (HMSs) that are capable of supporting disabilities and diseases. However, to achieve their full potential, these devices must efficiently address the customization demanded by different IoT HMS scenarios. This work introduces a new approach, called Modeling Scenarios of Internet of Things (MoSIoT), which allows healthcare experts to model and simulate IoT HMS scenarios defined for different disabilities and diseases. MoSIoT comprises a set of models based on the model-driven engineering (MDE) paradigm, which first allows simulation of a complete IoT HMS scenario, followed by generation of a final IoT system. In the current study, we used a real scenario defined by a recognized medical publication for a patient with Alzheimer’s disease to validate this proposal. Furthermore, we present an implementation based on an enterprise cloud architecture that provides the simulation data to a commercial IoT hub, such as Azure IoT Central.

中文翻译：

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MoSIoT：为残疾人士建模和模拟物联网医疗监控系统

由于近年来残疾人人数的增加，远程监控残疾人的需求有所增加。物联网 (IoT) 设备的民主化促进了能够支持残疾和疾病的医疗保健监测系统 (HMS) 的实施。然而，为了充分发挥其潜力，这些设备必须有效地满足不同物联网 HMS 场景所需的定制化需求。这项工作引入了一种称为物联网建模场景 (MoSIoT) 的新方法，它允许医疗专家对为不同残疾和疾病定义的 IoT HMS 场景进行建模和模拟。MoSIoT 包含一组基于模型驱动工程 (MDE) 范式的模型，该范式首先允许模拟完整的 IoT HMS 场景，然后生成最终的 IoT 系统。在当前的研究中，我们使用公认的医学出版物为阿尔茨海默病患者定义的真实场景来验证该提议。此外，我们提出了一个基于企业云架构的实现，该架构将模拟数据提供给商业 IoT 中心，例如 Azure IoT Central。