HealthDash: Monitoramento remoto de pacientes utilizando programação baseada em fluxo de dados

In this paper, we propose HealthDash, a framework for developing IoT solutions for health care. HealthDash employs the data-flow-oriented pro- gramming paradigm, from the cloud layer to the network edge (fog layer), unifying development technologies across layers, that is, from edge devices to decision making. We conducted an experiment to evaluate the proposal with the simulation of the transmission of data collected from home-monitored pati- ents with chronic diseases. In the simulation, we observed the performance of the two implemented solutions to both continuous and event-based scenarios of data transmission. The results showed that HealthDash solution provides flexi- ble infrastructure, consuming less bandwidth and spending little response time.

[1]  Majid Ali,et al.  From Cloud Computing to Fog Computing (C2F): The key technology provides services in healthcare big data , 2018 .

[2]  Tiago Boldt Sousa.  Dataflow Programming Concept , Languages and Applications , 2012 .

[3]  Guy Paré,et al.  Review Paper: Systematic Review of Home Telemonitoring for Chronic Diseases: The Evidence Base , 2007, J. Am. Medical Informatics Assoc..

[4]  Sungyoung Lee,et al.  Health Fog: a novel framework for health and wellness applications , 2016, The Journal of Supercomputing.

[5]  Mingzhe Jiang,et al.  Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction , 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.

[6]  Eui-nam Huh,et al.  E-HAMC: Leveraging Fog computing for emergency alert service , 2015, 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

[7]  Victor I. Chang,et al.  Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare , 2018, Future Gener. Comput. Syst..

[8]  Rajkumar Buyya,et al.  iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments , 2016, Softw. Pract. Exp..

[9]  Marco D. Santambrogio,et al.  A fog-computing architecture for preventive healthcare and assisted living in smart ambients , 2017, 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).

[10]  Victor C. M. Leung,et al.  Developing IoT applications in the Fog: A Distributed Dataflow approach , 2015, 2015 5th International Conference on the Internet of Things (IOT).

[11]  Mingzhe Jiang,et al.  Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach , 2018, Future Gener. Comput. Syst..

[12]  David Lillethun,et al.  Mobile fog: a programming model for large-scale applications on the internet of things , 2013, MCC '13.

[13]  Eleni Stroulia,et al.  International Journal of Medical Informatics , 2016 .