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

Santiago Meliá, Shahabadin Nasabeh, Sergio Luján-Mora and Cristina Cachero
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Santiago Meliá: Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Carretera de San Vicente s/n, 03690 San Vicente del Raspeig, Alicante, Spain
Shahabadin Nasabeh: Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Carretera de San Vicente s/n, 03690 San Vicente del Raspeig, Alicante, Spain
Sergio Luján-Mora: Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Carretera de San Vicente s/n, 03690 San Vicente del Raspeig, Alicante, Spain
Cristina Cachero: Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Carretera de San Vicente s/n, 03690 San Vicente del Raspeig, Alicante, Spain

IJERPH, 2021, vol. 18, issue 12, 1-25

Abstract: 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.

Keywords: Internet of Things; healthcare-monitoring system; disabilities; simulator; model-driven engineering; Alzheimer’s; FHIR; trigger–action programming; machine-learning MDE; Azure IoT Central (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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