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Transforming Diabetes Care: A Review of IoT-Based Mobile Health Systems

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IoT Technologies and Wearables for HealthCare (HealthyIoT 2023, icwh 2023)

Abstract

Diabetes, a chronic ailment requiring ongoing care and monitoring, has undergone a healthcare shift thanks to the Internet of Things (IoT). Real-time monitoring, individualized treatment plans, and improved patient-provider communication are all features of IoT-based mobile health solutions. This study explores the components, functionalities, benefits, and disadvantages of IoT-based mobile health systems for the management of diabetes. It investigates wearable sensors, smartphone apps, and linked devices like glucose meter and monitors, placing a focus on their precision, dependability, and usability. The study explores data analytics techniques that allow for customized advice and actions. Patients can effectively control their diabetes with the use of individualized treatments and real-time monitoring. The research also looks into the data analytical methods used in IoT-based mobile health systems for the treatment of diabetes. IoT-based mobile health system issues and implications are also covered. These include issues with data security and privacy, platform and device compatibility, standardization of data formats, and ensuring that all people with diabetes have equal access to technology. Healthcare workers, academics, and policymakers may learn more about the potential of IoT-based mobile health systems to revolutionize diabetes treatment through this thorough assessment.

F. Ashfaq and M. Hussain—Contributing authors.

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References

  1. Ahad, A., Tahir, M.: Perspective-6g and IoT for intelligent healthcare: challenges and future research directions. ECS Sensors Plus 2(1), 011601 (2023)

    Article  Google Scholar 

  2. Anderson, K., Burford, O., Emmerton, L.: Mobile health apps to facilitate self-care: a qualitative study of user experiences. PLoS ONE 11(5), e0156164 (2016)

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ahad, A., et al.: A comprehensive review on 5g-based smart healthcare network security: taxonomy, issues, solutions and future research directions. In: Array, p. 100290 (2023)

    Google Scholar 

  4. Stephen, B.U.-A., Uzoewulu, B.C., Asuquo, P.M., Ozuomba, S.: Diabetes and hypertension mobilehealth systems: a review of general challenges and advancements. J. Eng. Appl. Sci. 70(1), 78 (2023)

    Article  Google Scholar 

  5. Deshkar, S., Thanseeh, R., Menon, V.G.: A review on IoT based m-health systems for diabetes. Int. J. Comput. Sci. Telecommun. 8(1), 13–18 (2017)

    Google Scholar 

  6. Ahad, A., Tahir, M., Sheikh, M.A.S., Mughees, A., Ahmed, K.I.: Optimal route selection in 5g-based smart health-care network: a reinforcement learning approach. In: 2021 26th IEEE Asia-Pacific Conference on Communications (APCC), pp. 248–253. IEEE (2021)

    Google Scholar 

  7. Al-Rawashdeh, M., Keikhosrokiani, P., Belaton, B., Alawida, M., Zwiri, A.: Iot adoption and application for smart healthcare: a systematic review. Sensors 22(14), 5377 (2022)

    Article  PubMed  PubMed Central  Google Scholar 

  8. Ahad, A., Tahir, M., Sheikh, M.A.S., Hassan, N., Ahmed, K.I., Mughees, A.: A game theory based clustering scheme (GCS) for 5g-based smart healthcare. In: IEEE 5th International Symposium on Telecommunication Technologies (ISTT), pp. 157–161. IEEE (2020)

    Google Scholar 

  9. Goyal, S., Sharma, N., Bhushan, B., Shankar, A., Sagayam, M.: Iot enabled technology in secured healthcare: applications, challenges and future directions. In: Cognitive Internet of Medical Things for Smart Healthcare: Services and Applications, pp. 25–48 (2021)

    Google Scholar 

  10. de Neira, A.B., Kantarci, B., Nogueira, M.: Distributed denial of service attack prediction: challenges, open issues and opportunities. Comput. Netw. 222, 109553 (2023)

    Article  Google Scholar 

  11. Ahmed, M., Byreddy, S., Nutakki, A., Sikos, L.F., Haskell-Dowland, P.: ECU-IOHT: a dataset for analyzing cyberattacks in internet of health things. Ad Hoc Netw. 122, 102621 (2021)

    Article  Google Scholar 

  12. Chang, S.-H., Chiang, R.-D., Wu, S.-J., Chang, W.-T.: A context-aware, interactive m-health system for diabetics. IT Professional 18(3), 14–22 (2016)

    Article  Google Scholar 

  13. Almotiri, S.H., Khan, M.A., Alghamdi, M.A.: Mobile health (m-health) system in the context of IoT. In: IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pp. 39–42 . IEEE (2016)

    Google Scholar 

  14. Mydhili, S., SK, D.M., Naseera, F., Kumar, R., et al.: An IoT based foot healthcare system for diabetic patients and a futuristic approach for transforming sensor data into real-time medical advice. In: Proceedings of the Advancement in Electronics and Communication Engineering (2022)

    Google Scholar 

  15. Sharma, M., Singh, G., Singh, R.: An advanced conceptual diagnostic healthcare framework for diabetes and cardiovascular disorders. arXiv preprint arXiv:1901.10530 (2019)

  16. Yassein, M.B., Hmeidi, I., Al-Harbi, M., Mrayan, L., Mardini, W., Khamayseh, Y.: IoT-based healthcare systems: a survey. In: Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems, pp. 1–9 (2019)

    Google Scholar 

  17. Uslu, B.Ç., Okay, E., Dursun, E.: Analysis of factors affecting IoT-based smart hospital design. J. Cloud Comput. 9(1), 1–23 (2020)

    Article  Google Scholar 

  18. Singh, A., et al.: Recent trends and advances in type 1 diabetes therapeutics: a comprehensive review. Eur. J. Cell Biol. 102(2), 151329 (2023)

    Google Scholar 

  19. Yang, Y., Wang, X., Yuan, X., Zhu, Q., Chen, S., Xia, D.: Glucose-activatable insulin delivery with charge-conversional polyelectrolyte multilayers for diabetes care. Front. Bioeng. Biotechnol. 10, 996763 (2022)

    Article  PubMed  PubMed Central  Google Scholar 

  20. Almurashi, A.M., Rodriguez, E., Garg, S.K.: Emerging diabetes technologies: continuous glucose monitors/artificial pancreases. J. Indian Inst. Sci. 103(1), 205–230 (2023)

    Google Scholar 

  21. Mishra, K.N., Chakraborty, C.: A novel approach towards using big data and IoT for improving the efficiency of m-health systems. In: Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare, pp. 123–139 (2020)

    Google Scholar 

  22. Veena, A., Gowrishankar, S.: Applications, opportunities, and current challenges in the healthcare industry. In: IoT in Healthcare Systems, pp. 121–147. CRC Press (2023)

    Google Scholar 

  23. Gómez, J., Oviedo, B., Zhuma, E.: Patient monitoring system based on internet of things. Procedia Comput. Sci. 83, 90–97 (2016)

    Article  Google Scholar 

  24. Lee, K., et al.: Diffusion of a lifelog-based digital healthcare platform for future precision medicine: data provision and verification study. J. Personaliz. Med. 12(5), 803 (2022)

    Google Scholar 

  25. Huang, J., Wu, X., Huang, W., Wu, X., Wang, S.: Internet of things in health management systems: a review. Int. J. Commun. Syst. 34(4), e4683 (2021)

    Article  Google Scholar 

  26. Ahsan, M.J.: Future challenges of IOMT applications. In: Security and Privacy Issues in Internet of Medical Things, pp. 117–132. Elsevier (2023)

    Google Scholar 

  27. Farooq, M.S., Riaz, S., Tehseen, R., Farooq, U., Saleem, K.: Role of internet of things in diabetes healthcare: network infrastructure, taxonomy, challenges, and security model. Digital health 9, 20552076231179056 (2023)

    Article  PubMed  PubMed Central  Google Scholar 

  28. Mandari, H., Yahaya, M.: Examining factors influencing intention to use m-health applications for promoting healthier life among smartphone users in tanzania. J. Int. Technol. Inf. Manag. 31(2), 1–21 (2022)

    Google Scholar 

  29. Qadri, Y.A., Nauman, A., Zikria, Y.B., Vasilakos, A.V., Kim, S.W.: The future of healthcare internet of things: a survey of emerging technologies. IEEE Commun. Surv. Tutor. 22(2), 1121–1167 (2020)

    Article  Google Scholar 

  30. Rahman, R.A., Aziz, N.S.A., Kassim, M., Yusof, M.I.: Iot-based personal health care monitoring device for diabetic patients. In: IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), vol. 2017, pp. 168–173 . IEEE (2017)

    Google Scholar 

  31. Subhan, F., et al.: AI-enabled wearable medical internet of things in healthcare system: a survey. Appl. Sci. 13(3), 1394 (2023)

    Google Scholar 

  32. Butt, H.A., et al.: Federated machine learning in 5g smart healthcare: a security perspective review. Procedia Comput. Sci. 224, 580–586 (2023)

    Google Scholar 

  33. Chhabra, P.: Issues and challenges associated with machine learning tools for health care system: a review. NEU J. Artif. Intell. Internet of Things 2(2) (2023)

    Google Scholar 

  34. Albahri, A.S., et al.: IoT-based telemedicine for disease prevention and health promotion: state-of-the-art. J. Netw. Comput. Appl. 173, 102873 (2021)

    Google Scholar 

  35. Menon, S.P., et al.: An intelligent diabetic patient tracking system based on machine learning for e-health applications. Sensors 23(6), 3004 (2023)

    Google Scholar 

  36. Ahad, A., Tahir, M., Sheikh, M.A., Ahmed, K.I., Mughees, A.: An intelligent clustering-based routing protocol (CRP-GR) for 5g-based smart healthcare using game theory and reinforcement learning. Appl. Sci. 11(21), 9993 (2021)

    Article  Google Scholar 

  37. Lee, T.-F., Chang, I.-P., Su, G.-J.: Compliance with hipaa and gdpr in certificateless-based authenticated key agreement using extended chaotic maps. Electronics 12(5), 1108 (2023)

    Article  Google Scholar 

  38. Essefi, I., Rahmouni, H.B., Solomonides, T., Ladeb, M.F.: Hipaa controlled patient information exchange and traceability in clinical processes. In: 2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), pp. 452–460. IEEE (2022)

    Google Scholar 

  39. Rayan, R.A., Zafar, I., Tsagkaris, C., Papazoglou, A.S., Moysidis, D.V.: Pervasive m-health for chronic diseases. In: Computational Intelligence for Medical Internet of Things (MIoT) Applications, pp. 301–314 (2023)

    Google Scholar 

  40. Devi, D.H., et al.: 5G technology in healthcare and wearable devices: a review. Sensors 23(5), 2519 (2023)

    Google Scholar 

  41. Ahad, A., Al Faisal, S., Ali, F., Jan, B., Ullah, N., et al.: Design and performance analysis of DSS (Dual Sink Based Scheme) protocol for WBASNS. Adv. Remote Sens. 6(04), 245 (2017)

    Google Scholar 

  42. Raikar, A.S., Kumar, P., Raikar, G.V.S., Somnache, S.N.: Advances and challenges in IoT-based smart drug delivery systems: a comprehensive review. Appl. Syst. Innov. 6(4), 62 (2023)

    Article  Google Scholar 

  43. Ayesha, A., Komalavalli, C.: Recent advancements in the internet of things for the medical healthcare systems. Available at SSRN 4366731 (2023)

    Google Scholar 

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Acknowledgment:

This work is funded by national funds through FCT - Foundation for Science and Technology, I.P., under project UIDP/04019/2020.

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Correspondence to Abdul Ahad or Filipe Madeira .

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ashfaq, F., Ahad, A., Hussain, M., Madeira, F. (2024). Transforming Diabetes Care: A Review of IoT-Based Mobile Health Systems. In: Ferraro, V., Covarrubias, M., Zdravevski, E., Pires, I.M., Marques Martins de Almeida, J.M., Gonçalves, N.J. (eds) IoT Technologies and Wearables for HealthCare. HealthyIoT icwh 2023 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 530. Springer, Cham. https://doi.org/10.1007/978-3-031-71911-0_2

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  • DOI: https://doi.org/10.1007/978-3-031-71911-0_2

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