Abstract
Technological advancement in Wireless Body Area Networks (WBANs) has gained much interest and became an emerging technology in the remote healthcare monitoring as WBANs are a collection of low-power, intelligent, miniaturized, lightweight, invasive or non-invasive bio sensors that operate in the proximity of a human body through wireless communication. They offer innovative and promising healthcare applications to improve the quality of life of patients by continuously monitoring human’s physiological vital signs. Based on existing literature on WBANs, technologies and standards, this paper proposes a WBAN to support remote healthcare monitoring of diabetic patients by ensuring higher degree of confidence in Quality of Information (QoI) through real-time data. The proposed architecture includes several features which enables better patient monitoring. Moreover, a qualitative approach is used to evaluate the systems’ architecture. Finally, the open research challenges and future works associated with WBANs design are discussed and evaluated.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Xing, J., Zhu, Y.: A survey on body area network. In: Proceedings of the 5th International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1–4 (2009)
Dangi, K.G., Panda, S.P.: Challenges in wireless body area network-a survey. In: Proceedings of the International Conference on Optimization, Reliability, and Information Technology (ICROIT), pp. 204–207 (2014)
Movassaghi, S., Abolhasan, M., Lipman, J., Smith, D., Jamalipour, A.: Wireless body area networks: a survey. IEEE Commun. Surv. Tutor. 6(3), 1658–1686 (2014)
Mamykina, L., Mynatt, E.D., Davidson, P.R., Greenblatt, D.: MAHI: investigation of social scaffolding for reflective thinking in diabetes management. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 477–486 (2008)
Alhazbi, S., Alkhateeb, M., Abdi, A., Janahi, A.: Mobile application for diabetes control in Qatar. In: Proceedings of the 8th International Conference on Computing Technology and Information Management (ICCM), pp. 763–766 (2010)
Petrella, R., Luo, Y., Ling, C., Schuurman, J., Petrella, R.: GlucoGuide: an intelligent type 2 diabetes solution using data mining and mobile computing. In: IEEE International Conference Data Mining Workshop, pp. 748–752 (2014)
Mougiakakou, S.G., Bartsocas, C.S., Bozas, E., Chaniotakis, N., Iliopoulou, D., Kouris, I., Pavlopoulos, S., Prountzou, A., Skevofilakas, M., Varotsis, K., Vazeou, A., Zarkogianni, K., Nikita, S.K., Member, S.: SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients. IEEE Trans. Inf Technol. Biomed. 14(3), 622–633 (2010)
Rodríguez, C.C.G., Riveill, M., Antipolis, S.: e-Health monitoring applications: What about data quality (2010)
Sachidananda, V., Khelil, A., Suri, N.: Quality of information in wireless sensor networks: a survey. In: Proceedings of the International Conference on Information Quality (ICIQ), vol. 1, pp. 193–207 (2010)
Varshney, U.: Mobile health: four emerging themes of research. Decis. Support Syst. 66, 20–35 (2014)
Rafe, V., Hajvali, M.: A reliable architectural style for designing pervasive healthcare systems. J. Med. Syst. 38(9), 1–10 (2014)
Ullah, S., Higgins, H., Braem, B., Latre, B., Blondia, C., Moerman, I., Saleem, S., Rahman, Z., Kwak, K.S.: A comprehensive survey of wireless body area networks. J. Med. Syst. 36(3), 1065–1094 (2012)
Association, A.D.: Standards of medical care in diabetes. Diab. Care 31, S12 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Huzooree, G., Khedo, K.K., Joonas, N. (2017). Wireless Body Area Network System Architecture for Real-Time Diabetes Monitoring. In: Fleming, P., Vyas, N., Sanei, S., Deb, K. (eds) Emerging Trends in Electrical, Electronic and Communications Engineering. ELECOM 2016. Lecture Notes in Electrical Engineering, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-52171-8_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-52171-8_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52170-1
Online ISBN: 978-3-319-52171-8
eBook Packages: EngineeringEngineering (R0)