Title
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.
Year
DOI
Venue
2016
10.3390/sym8070065
SYMMETRY-BASEL
Keywords
Field
DocType
personalized health monitoring,Internet of Things,wireless sensor networks,security energy consumption,model-driven modeling
Adaptability,World Wide Web,Software engineering,Mathematical analysis,Feature model,Reference architecture,Application software,Wireless sensor network,Energy consumption,Mathematics,Personalization,The Internet
Journal
Volume
Issue
ISSN
8
7
2073-8994
Citations 
PageRank 
References 
1
0.35
17
Authors
4
Name
Order
Citations
PageRank
Algimantas Venckauskas1338.50
Vytautas Stuikys210217.07
Jevgenijus Toldinas373.48
Nerijus Jusas471.81