Diabetes Management System in Mauritius: Current Perspectives and Potentials of Pervasive Healthcare Technologies

Author:

Huzooree Geshwaree,Khedo Kavi,Joonas Noorjehan

Publisher

Springer International Publishing

Reference50 articles.

1. Ng, J. K. Y., Wang, J., Lam, K. Y., Ho, C., Kam, C. C. H. C., & Han, S. (2014). Capturing and analyzing pervasive data for Smarthealth. In Proceedings of the 28th international conference on advanced information networking and applications (AINA) (pp. 985–992). IEEE.

2. Huzooree, G., Khedo, K. K., & Joonas, N. (2017). Pervasive mobile healthcare systems for chronic disease monitoring. Health Informatics Journal, 25(2), 267–291.

3. Huzooree, G., Khedo, K. K., & Joonas, N. (2019). Data reliability and quality in body area networks for diabetes monitoring. In R. Maheswar, G. Kanagachidambaresan, & R. Jayaparvathy (Eds.), Body area network challenges and solutions (pp. 55–86). EAI/Springer Innovations in Communication and Computing.

4. Huzooree, G., Khedo, K. K., & Joonas, N. (2016). Wireless body area network system architecture for real-time diabetes monitoring. In Emerging trends in electrical, electronic and communications engineering. ELECOM 2016 (pp. 262–271). Springer.

5. Huzooree, G., Khedo, K. K., & Joonas, N. (2018). Low-cost body area network for monitoring of diabetic patient. In Design and development of affordable healthcare technologies (pp. 135–164). IGI Global.

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