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.
Highlights
The prediction module of the Modeling Scenarios of Internet of Things (MoSIoT) framework had inputs from three sources of data related to the system behavior: (i) the input from expert knowledge that is defined both in the domain model and by the specific entities in the scenario model; (ii) the application of prediction techniques based on machine learning (ML); and (iii) the input of data from real patients interacting with the already-implemented system
This paper presented the MoSIoT framework, which allows the representation of different Internet of Things (IoT) healthcare-monitoring systems (HMSs) scenarios for people with disabilities
MoSIoT focuses on the application of an model-driven engineering (MDE) approach that provides the following: (i) A formalization of the different domain elements that constitute the context of healthcare-monitoring systems for people with disabilities
Summary
The World Health Organization (WHO) [1] estimated that about one billion people have some form of disability (15% of the world’s population). We propose a new approach, called Modeling Scenarios of Internet of Things (MoSIoT), which, based on the model-driven engineering (MDE) [8] paradigm, can address these three previous challenges by: (i) providing a simple communication language that allows domain experts, in this case, healthcare workers, to configure an IoT. MoSIoT applies an IoT architecture reference model [9] that is specialized for IoT HMS systems for people with disabilities, and comprises two elements: (i) a domain model, in which a domain expert specifies a knowledge base that gathers the invariant information of most recognized standards relating to three fields, namely, accessibility, the IoT systems, and healthcare; and (ii) a scenario model, which allows a medical expert to introduce the static and dynamic behavior of the entities specific to a concrete IoT HMS scenario of patients with disabilities. The case study validates the scenario model’s usefulness to simulate a scenario with the devices, vital signs, and accessible modes based on relevant medical literature on Alzheimer’s patients and cognitive disabilities.
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