A Model-Driven Framework to Develop Personalized Health Monitoring

Abstract

Both distributed healthcare systems and the Internet of Things (IoT) are currently hot topics. The latter is a new computing paradigm to enable advanced capabilities in engineering various applications, including those for healthcare. For such systems, the core social requirement is the privacy/security of the patient information along with the technical requirements (e.g., energy consumption) and capabilities for adaptability and personalization. Typically, the functionality of the systems is predefined by the patient's data collected using sensor networks along with medical instrumentation; then, the data is transferred through the Internet for treatment and decision-making. Therefore, systems creation is indeed challenging. In this paper, we propose a model-driven framework to develop the IoT-based prototype and its reference architecture for personalized health monitoring (PHM) applications. The framework contains a multi-layered structure with feature-based modeling and feature model transformations at the top and the application software generation at the bottom. We have validated the framework using available tools and developed an experimental PHM to test some aspects of the functionality of the reference architecture in real time. The main contribution of the paper is the development of the model-driven computational framework with emphasis on the synergistic effect of security and energy issues.

Security and Privacy in Cloud-Based E-Health System

“…Ewellbeing is a developing area at the crossroads of clinical informatics, general well-being, and industry, relating to well-being administrations and knowledge communicated or enhanced through the Internet and related technologies. [10][11][12][13] The word represents a specialized turn of events from a more detailed viewpoint, but also a perspective, a demeanor, and a duty for coordinated, national speculation to enhance patient care through the use of information and communication technologies locally, territorially, and internationally [14].…”

Behavior Intention of Chronic Illness Patients in Malaysia to Use IoT-based Healthcare Services

“…c) Technical requirements: Besides the necessary basics, we should consider technical requirements [53,54] leaks from energy storage systems and batteries [20,55], low power consumption in operation [22,56], leveraging IoT endpoints for use in intelligent decision-making, and power usage [50,[57][58][59][60][61][62] to improve communications and store information quickly [63]. Smart hospitals rely on connections to upload patient data, link medical equipment, and react fast (via sensors) [64].…”

Wearable technologies for active living and rehabilitation: Current research challenges and future opportunities

“…62 Personalized models may also assist with other aspects of wearable technologies, including a better understanding of intention, 63 and how to implement and scale-up the computational framework. 64…”