Open Access
MATEC Web Conf.
Volume 292, 2019
23rd International Conference on Circuits, Systems, Communications and Computers (CSCC 2019)
Article Number 03016
Number of page(s) 6
Section Computers
Published online 24 September 2019
  1. WHO: World Health Organization. (Accessed 2019) Available at: [Google Scholar]
  2. Gómeza, J., Oviedob, B., Zhuma, E.: Patient Monitoring System Based on Internet of Things. Procedia Computer Science , 90-97 (2016) [Google Scholar]
  3. Sajid, O., Haddara, M.: NFC Mobile Payments: Are we ready for them? In : SAI Computing Conference, London, UK, vol. Springer, pp.960-976 (2016) [Google Scholar]
  4. Haddara, M., Helgesen, T.: Wireless Power Transfer Solutions for ‘Things’ in the Internet of Things. Advances in Intelligent Systems and Computing 880(1), 92-103 (2018) [Google Scholar]
  5. Browser, J., Saxena, S., Fraser, H., Marshall, A.: A Healthy Outlook: Digital Reinvention in Healthcare., New Orchard Road Armonk, NY 10504 (2017) [Google Scholar]
  6. Omar, H., Khoshnaw, A., Monnet, W.: Smart Patient Management, Monitoring and Tracking System Using Radio-Frequency Identification (RFID) Technology. IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 40-45 (2016) [CrossRef] [Google Scholar]
  7. Bhatt, Y., Bhatt, C.: Internet of Things in HealthCare. Internet of Things and Big Data Technologies for Next Generation Healthcare , 13-33 (2017) [CrossRef] [Google Scholar]
  8. Webster, J., Watson, R.: Analyzing the past to prepare for the future: Writing a literature review. MIS quarterly, xiii-xxiii (2002) [Google Scholar]
  9. Fernandez, F., Pallis, G.: Opportunities and challenges of the Internet of Things for healthcare. IEEE Explore, 263-266 (2014) [Google Scholar]
  10. Fortino, G., Trunfio, P.: Internet of things based on smart objects: Technology, middleware and applications. SpringerLink, 1-27 (2014) [Google Scholar]
  11. Atzoria, L., Lerab, A., Morabito, G.: The Internet of Things: A survey. Computer Networks, 1-19 (2010) [Google Scholar]
  12. Chouffani, R.: Techtarget. (Accessed 2019) Available at: [Google Scholar]
  13. Yin, Y., Zeng, Y., Chen, X., Fan, Y.: The internet of things in healthcare: An overview. Journal of Industrial Information Integration, 3-13 (2016) [CrossRef] [Google Scholar]
  14. Hu, L., Ong, D., Zhu, X., Liu, Q., Song, E.: Enabling RFID technology for healthcare: application, architecture, and challenges. Telecommunication Systems, 259-271 (2015) [CrossRef] [Google Scholar]
  15. Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., Mateos, G., Kantarci, B., Andreescu, S.: Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-based Processing: Opportunities and Challenges. IEEE International Conference on Services Computing, 285-292 (2015) [Google Scholar]
  16. Ajami, S., Rajabzadeh, A.: Radio Frequency Identification (RFID) technology and patient safety. Journal of Research in Medical Sciences, 809-813 (2013) [Google Scholar]
  17. Haddara, M., Staaby, A.: RFID Applications and Adoptions in Healthcare: A Review on Patient Safety. Procedia Computer Science, 80-88 (2018) [CrossRef] [Google Scholar]
  18. Rodbard, D.: Continuous Glucose Monitoring: A Review of Successes, Challenges, and Opportunities. Diabetes Technology & Therapeutics, S2-3–S2-13. (2016) [CrossRef] [Google Scholar]
  19. Gia, T., Ali, M., Dhaou, I., Rahmani, A., Westerlund, T., Liljeberg, P., Tenhunen, H.: IoT-based continuous glucose monitoring system: A feasibility study. Procedia Computer Science, 327-334 (2017) [CrossRef] [Google Scholar]
  20. Zisser, H., Lane, J. E., Shivers, J. P.: Continuous Glucose Monitoring: Professional and Real Time. In : Technological Advances in the Treatment of Type 1 Diabetes. Karger (2015) 81-98 [Google Scholar]
  21. Mun Lee, B.: Virtual Sensor for Diabetes Meter in U-Health Service. International Journal of Bio-Science and Bio-Technology 6(6), 87-96 (2014) [CrossRef] [Google Scholar]
  22. Zhang, P., Schmidt, D., White, J., Mulvaney, S.: Towards Precision Behavioral Medicine with IoT: Iterative Design and Optimization of a Self-Management Tool for Type 1 Diabetes. In : IEEE International Conference on Healthcare Informatics (ICHI), New York, NY, USA ( 4-7 June 2018) [Google Scholar]
  23. Swan, M.: Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0. Jorunal of Sensor and Actuator Networks, 217-253 (2012) [CrossRef] [Google Scholar]
  24. Murison, M.: Health IoT: Scientists develop diet wearable – for your teeth. Internet of Business (2018) [Google Scholar]
  25. Istepanian, R., Hu, S., Philip, N., Sungoor, A.: The potential of Internet of m-health Things “m-IoT” for non-invasive glucose level sensing. In : Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, USA (2011) [Google Scholar]
  26. Deshkar, S., Thanseeh, R., Menon, V.: A Review on IoT based m-Health Systems for Diabetes. International Journal of Computer Science and Telecommunications 8(1), 13-18 (2017) [Google Scholar]
  27. Rahman, R., Aziz, N., Kassim, M., Yusof, M.: IoT-based personal health care monitoring device for diabetic patients. In : IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), Langkawi, Malaysia (2017) [Google Scholar]
  28. Al-Taee, M., Al-Nuaimy, W., Al-Ataby, A., Muhsin, Z., Abood, S.: Mobile health platform for diabetes management based on the Internet-of-Things. In : IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Amman, Jordan (2015) [Google Scholar]
  29. Jara, A., Zamora, M., Skarmeta, A.: An internet of things–based personal device for diabetes therapy management in ambient assisted living (AAL). Personal and Ubiquitous Computing 15(4), 431–440 (2011) [CrossRef] [Google Scholar]
  30. Fernández-Caramés, T., Fraga-Lamas, P.: Design of a Fog Computing, Blockchain and IoT-Based Continuous Glucose Monitoring System for Crowdsourcing mHealth. Proceedings 4(1) (2019) [Google Scholar]
  31. Lee, B., Ouyang, J.: Intelligent Healthcare Service by using Collaborations between IoT Personal Health Devices. International Journal of Bio-Science and Bio-Technology 6(1), 155-164 (2016) [CrossRef] [Google Scholar]
  32. O’Connor, P., Sperl‐Hillen, J., Fazio, C., Averbeck, B., Rank, B., Margolis, K.: Outpatient diabetes clinical decision support: current status and future directions. Diabetic Medicine 33(6), 734-741 (2016) [CrossRef] [Google Scholar]
  33. Fernández-Caramés, T. M., Fraga-Lamas, P.: Design of a Fog Computing, Blockchain and IoT-Based Continuous Glucose Monitoring System for Crowdsourcing mHealth. Proceedings (37) (2019) [Google Scholar]
  34. Fotheringham, S.: Diabetes and the Internet of Things. Pharmaceutical Engineering (2017) [Google Scholar]
  35. Srivastava, S.: Possibilities of IoT Application in the Healthcare Sector. (2019) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.