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A Framework For Integration of A Patients’ Body Area Network With IoT


Affiliations
1 Department of Computer Sciences, Univesity of Kashmir (North Campus), India
 

In this paper, we give a framework for integration of patients' Body Area Network with IoT. We also discuss the enabling technologies that may help with the proliferation of the IoT in health care, besides mitigating various interoperability challenges in a health care IoT. We use a health care use-case of an artificial pancreas for diabetic patients to discuss our framework. We describe the framework as a formal model of a health care IoT, which we map onto the components of a proposed end-to-end, closed-loop health-care IoT architecture. In this paper, we also discuss dependability in a health care IoT. As such, we describe why certification, standardisation, and dependability should be central for a health care IoT.

Keywords

IoT, Diabetics, Formal Model, Dataflow, Body Area Network, Dependability.
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  • Manyika, James(ed). The Internet of Things: mapping the value beyond the hype. McKinsey, 2015.

  • Gubbi, Jayavardhana, Rajkumar Buyya, Slaven Marusic, and Marimuthu Palaniswami. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems 29, no. 7 (2013): 1645-1660.

  • Dohr, Angelika, Robert Modre-Osprian, Mario Drobics, Dieter Hayn, and Günter Schreier.The Internet of Things for Ambient Assisted Living.ITNG 10 (2010): 804-809.

  • Rohokale, Vandana Milind, Neeli Rashmi Prasad, and Ramjee Prasad. A cooperative Internet of Things (IoT) for rural healthcare monitoring and control. In Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE), 2011 2nd International Conference on, pp. 1-6. IEEE, 2011.

  • Bui, Nicola, and Michele Zorzi. Health care applications: a solution based on the internet of things. In Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, p. 131. ACM, 2011.

  • Doukas, Charalampos, and Ilias Maglogiannis. Bringing IoT and cloud computing towards pervasive healthcare. In Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on, pp. 922-926. IEEE, 2012.

  • Pang, Zhibo. Technologies and Architectures of the Internet-of-Things (IoT) for Health and Well-being. (2013). Thesis.

  • Istepanian, R. S. H., Sijung Hu, N. Y. Philip, and Ala Sungoor. The potential of Internet of m-health Things “m-IoT” for non-invasive glucose level sensing. In 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5264-5266. IEEE, 2011.

  • Belli, Laura, Simone Cirani, Luca Davoli, Lorenzo Melegari, Màrius Mónton, and Marco Picone. An Open-Source Cloud Architecture for Big Stream IoT Applications.Interoperability and Open-Source Solutions for the Internet of Things (2015): 73-88.

  • Raggett, Dave. COMPOSE: An Open Source Cloud-Based Scalable IoT Services Platform.ERCIM News 101 (2015): 30-31.

  • Desai, Pratikkumar, Amit Sheth, and Pramod Anantharam. Semantic gateway as a service architecture for IoT interoperability. In 2015 IEEE International Conference on Mobile Services, pp. 313-319. IEEE, 2015.

  • Soldatos, J., Kefalakis, N., Hauswirth, M., Serrano, M., Calbimonte, J.P., Riahi, M., Aberer, K., Jayaraman, P.P., Zaslavsky, A., Žarko, I.P. and Skorin-Kapov, L., 2015. Openiot: Open source internet-of-things in the cloud. Interoperability and Open-Source Solutions for the Internet of Things, pp.13-25.

  • H Hiremath, Shivayogi, Geng Yang, and Kunal Mankodiya. Wearable Internet of Things: Concept, architectural components and promises for person-centered healthcare. In Wireless Mobile Communication and Healthcare (Mobihealth), 2014 EAI 4th International Conference on, pp. 304-307. IEEE, 2014.

  • Tarouco, Liane Margarida Rockenbach, Leandro Márcio Bertholdo, Lisandro Zambenedetti Granville, Lucas Mendes Ribeiro Arbiza, Felipe Carbone, Marcelo Marotta, and José Jair Cardoso de Santanna. Internet of Things in healthcare: Interoperatibility and security issues. In 2012 IEEE International Conference on Communications (ICC), pp. 6121-6125. IEEE, 2012.

  • Valera, Antonio J. Jara, Miguel A. Zamora, and Antonio FG Skarmeta. An architecture based on internet of things to support mobility and security in medical environments. In 2010 7th IEEE Consumer Communications and Networking Conference, pp. 1-5. IEEE, 2010.

  • Mainetti, Luca, Luigi Patrono, and Antonio Vilei. Evolution of wireless sensor networks towards the internet of things: A survey. In Software, Telecommunications and Computer Networks (SoftCOM), 2011 19th International Conference on, pp. 1-6. IEEE, 2011.

  • Mannini, Andrea, and Angelo Maria Sabatini. Machine learning methods for classifying human physical activity from on-body accelerometers.Sensors 10, no. 2 (2010): 1154-1175.

  • El Youssef, Joseph, Jessica Castle, and W. Kenneth Ward. A review of closed-loop algorithms for glycemic control in the treatment of type 1 diabetes.Algorithms 2, no. 1 (2009): 518-532.

  • Cong, Shuang, and Yanyang Liang. PID-like neural network nonlinear adaptive control for uncertain multivariable motion control systems.IEEE Transactions on Industrial Electronics 56, no. 10 (2009): 3872-3879.

  • Stefanov, Todor, Claudiu Zissulescu, Alexandru Turjan, Bart Kienhuis, and Ed Deprette. System design using Kahn process networks: the Compaan/Laura approach. In Design, Automation and Test in Europe Conference and Exhibition, 2004. Proceedings, vol. 1, pp. 340-345. IEEE, 2004.

  • Kahn, Gilles, and David MacQueen. Coroutines and networks of parallel processes. (1976): 20.

  • Rodríguez-Domínguez, Carlos, Kawtar Benghazi, Manuel Noguera, José Luis Garrido, María Luisa Rodríguez, and Tomás Ruiz-López. A communication model to integrate the request-response and the publish-subscribe paradigms into ubiquitous systems.Sensors 12, no. 6 (2012): 7648-7668.

  • Emqtt.io, Feng At. EMQ - The Massively Scalable Open Source MQTT Broker. EMQ - The Massively Scalable Open Source MQTT Broker. Accessed September 10, 2016. http://emqtt.io/.

  • Avizienis, A., J. C. Laprie, and B. Randell. Fundamental Concepts of Dependability (LAAS-CNRS Report No. 01145). (2001).


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  • A Framework For Integration of A Patients’ Body Area Network With IoT

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Authors

Dawood A. Khan
Department of Computer Sciences, Univesity of Kashmir (North Campus), India

Abstract


In this paper, we give a framework for integration of patients' Body Area Network with IoT. We also discuss the enabling technologies that may help with the proliferation of the IoT in health care, besides mitigating various interoperability challenges in a health care IoT. We use a health care use-case of an artificial pancreas for diabetic patients to discuss our framework. We describe the framework as a formal model of a health care IoT, which we map onto the components of a proposed end-to-end, closed-loop health-care IoT architecture. In this paper, we also discuss dependability in a health care IoT. As such, we describe why certification, standardisation, and dependability should be central for a health care IoT.

Keywords


IoT, Diabetics, Formal Model, Dataflow, Body Area Network, Dependability.

References





DOI: https://doi.org/10.13005/ojcst%2F10.03.11