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Liu, Shixiong; Liu, Kecheng; Li, Weizi (2013)
Languages: English
Types: Unknown
Wireless technology based pervasive healthcare has been proposed in many applications such as disease management and accident prevention for cost saving and promoting citizen’s wellbeing. However, the emphasis so far is on the artefacts with limited attentions to guiding the development of an effective and efficient solution for pervasive healthcare. Therefore, this paper aims to propose a framework of multi-agent systems design for pervasive healthcare by adopting the concept of pervasive informatics and using the methods of organisational semiotics. The proposed multi-agent system for pervasive healthcare utilises sensory information to support healthcare professionals for providing appropriate care. The key contributions contain theoretical aspect and practical aspect. In theory, this paper articulates the information interactions between the pervasive healthcare environment and stakeholders by using the methods of organisational semiotics; in practice, the proposed framework improves the healthcare quality by providing appropriate medical attentions when and as needed. In this paper, both systems and functional architecture of the multi-agent system are elaborated with the use of wireless technologies such as RFID and wireless sensor networks. The future study will focus on the implementation of the proposed framework.
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    • Alemdar, HL, & Ersoy, C. 2010. Wireless sensor networks for healthcare: A survey. Computer Networks, 54(15), 2688-2710.
    • Bacheldor, B. 2007. Surgical Sponges Get Smart, RFID Journal.
    • Booy, D., Liu, K., Qiao, B., Guy, C. 2008. A Semiotic Multi-Agent System for Intelligent Building Control. Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology: 653-659 Quebec, Canada.
    • Bruno, R., Conti, M., Gregoni, E. et al. 2005. Mesh networks: commodity multihop ad hoc networks IEEE Communications Magazine, 43 (3).
    • Chang, Y. J. & Huang, W. T. 2011. A Novel Design of Data-driven Architecture for Remote Monitoring and Remote Control of Sensors over a Wireless Sensor Network and the Internet, Journal of Internet Technology, Vol. 12, No. 1, pp.129-138.
    • Conti, M. & Giordano, S. 2007. Multihop ad hoc networking: The reality IEEE Communications Magazine, 45 (4) pp. 88-95.
    • Conti, M. & Giordano, S. 2007. Multihop ad hoc networking: The theory IEEE Communications Magazine, 45 (4) pp.78-86.
    • Cook, D.J., Augusto, J.C. and Jakkula, V.R., 2009. Ambient intelligence: technologies, applications, and opportunities Pervasive and Mobile Computing, 5 (August), pp. 277-298.
    • Duangsuwan, J. & Liu, K. 2010. A Multi-agent System for Intelligent Building Control - Norm Approach. International Conference on Agents and Artificial Intelligence 2, 22-29.
    • Miluzzo, E., Papandrea, M., Lane, N. and Lu, H. A. Campbell, 2010. Pocket, bag, hand, etc.-automatically detecting phone context through discovery, in: Proceedings of ACM International Workshop on Sensing for App Phones (PhoneSense) collocated with ACM SenSys, Zurich, Switzerland.
    • García-Sáez, G. and Hernando, M.E. Martínez-Sarriegui, I.n., Rigla, M., Torralba, V., Brugués, E., De Leiva, A. and Gómez, E.J., 2009. Architecture of a wireless personal assistant for telemedical diabetes care.
    • International Journal of Medical Informatics, 78, pp.
    • Kwak, K., Ullah, S. and Ullah, N., 2010. An overview of ieee 802.15. 6 standard, in: Applied Sciences in Biomedical and Communication Technologies (ISABEL), 2010 3rd International Symposium on, IEEE, pp. 1-6
    • Liu, K., 2000. Semiotics in Information Systems Engineering, Cambridge, Cambridge University Press.
    • Liu, K., 2008. Pervasive informatics in intelligent spaces for living and working, keynote, IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008, 1, xviii-xix.
    • Liu, K., Clarke, R., Anderson, P. and Stamper, R. (eds), 2002. Coordination and Communication using Signs: Studies in Organisational Semiotics - 2, Boston, Kluwer Academic Publishers.
    • Liu, K., Nakata, K., & Harty, C. 2010. Pervasive informatics: theory, practice and future directions. Intelligent Buildings International, 2(1), 5-19.
    • Moran, S. and Nakata, K., 2009. Ubiquitous monitoring and behavioural change: A semiotic perspective, in X. Feng et al. (eds), The 11th International Conference on Informatics and Semiotics in Organisations, IFIP WG8.1 Working Conference (ICISO 2009). Beijing, Aussion Academic Publishing House, 449-456.
    • Lane, N., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., and Campbell, A., 2010. A survey of mobile phone sensing Communications Magazine, IEEE, 48 (9), pp. 140-150
    • Ni, Q. 2005. Performance analysis and enhancements for ieee 802.11e wireless networks, Network IEEE In Network, 19 (4).
    • Qiao, B., Liu, K., & Guy, C. 2006. A Multi-Agent System for Building Control. 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 653-659.
    • Sneha, S., & Varshney, U. 2009. Enabling ubiquitous patient monitoring: Model, decision protocols, opportunities and challenges. Decision Support Systems, 46(3), 606-619.
    • Stamper, R.K., 1973. Information in Business and Administrative Systems, New York, John Wiley and Sons.
    • Varshney, U. 2003. Pervasive healthcare. Computer, 36, 138-140.
    • Varshney, U. 2005. Pervasive Healthcare฀: Applications, Challenges and Wireless Solutions, Communications of the Association of Information Systems. 16.
    • Varshney, U. 2007. Pervasive Healthcare and Wireless Health Monitoring. Mobile Networks and Applications, 12(2-3), 113-127. Doi: 10.1007/s11036- 007-0017-1
    • Varshney, U. 2009. Pervasive Healthcare Computing: EMR/EHR, Wireless and Health Monitoring, Springer-Verlag New York Inc.
    • Youg, C.Y., Qiao, B., Wilson, D.J., Wu, M., ClementsCroome, D., Liu, K., Egan, R., et al. 2007. Coordinated Management of Intelligent Pervasive Spaces. The 5th IEEE International Conference on Industrial Informatics, 529-534. doi:10.1109/INDIN.2007.4384813.
    • Tu, Y., Zhou, W. and Piramuthu, S., 2009. Identifying RFID-embedded objects in pervasive healthcare applications Decision Support Systems, 46, pp. 586- 593
    • Zhang, Y. and Liu, K., 2009. A bibliometric study on organisational semiotics literatures, in X. Feng et al. (eds), The 11th International Conference on Informatics and Semiotics in Organisations, IFIP WG8.1 Working Conference. Beijing, Aussion Academic Publishing House, 33-39.
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