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Article

MoSIoT: Modeling and Simulating IoT Healthcare-Monitoring Systems for People with Disabilities

Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Carretera de San Vicente s/n, 03690 San Vicente del Raspeig, Alicante, Spain
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Academic Editors: Oresti Banos, Jesús Peral, David Gil and Javi Medina Quero
Int. J. Environ. Res. Public Health 2021, 18(12), 6357; https://doi.org/10.3390/ijerph18126357
Received: 31 March 2021 / Revised: 2 June 2021 / Accepted: 8 June 2021 / Published: 11 June 2021
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. View Full-Text
Keywords: Internet of Things; healthcare-monitoring system; disabilities; simulator; model-driven engineering; Alzheimer’s; FHIR; trigger–action programming; machine-learning MDE; Azure IoT Central Internet of Things; healthcare-monitoring system; disabilities; simulator; model-driven engineering; Alzheimer’s; FHIR; trigger–action programming; machine-learning MDE; Azure IoT Central
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MDPI and ACS Style

Meliá, S.; Nasabeh, S.; Luján-Mora, S.; Cachero, C. MoSIoT: Modeling and Simulating IoT Healthcare-Monitoring Systems for People with Disabilities. Int. J. Environ. Res. Public Health 2021, 18, 6357. https://doi.org/10.3390/ijerph18126357

AMA Style

Meliá S, Nasabeh S, Luján-Mora S, Cachero C. MoSIoT: Modeling and Simulating IoT Healthcare-Monitoring Systems for People with Disabilities. International Journal of Environmental Research and Public Health. 2021; 18(12):6357. https://doi.org/10.3390/ijerph18126357

Chicago/Turabian Style

Meliá, Santiago, Shahabadin Nasabeh, Sergio Luján-Mora, and Cristina Cachero. 2021. "MoSIoT: Modeling and Simulating IoT Healthcare-Monitoring Systems for People with Disabilities" International Journal of Environmental Research and Public Health 18, no. 12: 6357. https://doi.org/10.3390/ijerph18126357

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