Survey on Utilization of Internet of Things in Health Monitoring Systems

  • R. Jane Preetha PrincyEmail author
  • B. Brenda Jennifer
  • M. J. Abiya
  • B. Thilagavathi
  • Saravanan Parthasarathy
  • Arun Raj Lakshminarayanan
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 49)


The development of IoT has revolutionized the healthcare in a constructive way. It allows the Health providers to collect the data effectively, automated the workflow, improved the accuracy of diagnosis and reduces the risk of errors. The implementation of IoT in Health Monitoring Systems saves many lives every day. In India, the healthcare industry is started using the IoT enabled devices to track the health condition of elderly and diseased persons. This survey explores the existing IoT enabled Health Monitoring Systems and their benefits. Since the hypertension is identified as a threat to notable population in India, the relationship between the blood pressure and lifestyle has to be navigated. Specifically, the millennial human beings are sleeping very minimal duration of time and their quality of sleep is also vulnerably low. These issues hurt the human body’s ability to regulate stress hormones. That leads to high blood pressure, which paves the way to heart problems and other health risks. Self-monitoring the sleeping pattern might help to resolve this issue. Nevertheless, the wearable health monitoring devices could only be affordable by part of population. Hence, there is a need to develop an affordable electronic wearable device to measure the blood pressure and sleep pattern of the individual.


Internet of Things (IoT) Healthcare Health monitoring systems Data mining Cloud storage 


  1. 1.
    Battling Hypertension? Getting More Sleep Can Ease High Blood Pressure by Ryan Morton.
  2. 2.
    Nasution, A.T.P., Ramayati, R., Sofyani, S., rRna Ramayani, O., Siregar, R.: Quality of sleep and hypertension in adolescents. Paediatr. Indones. 56(5), 272–276 (2016)CrossRefGoogle Scholar
  3. 3.
    Tuli, S., Basumatary, N., Gill, S.S., Kahani, M., Arya, R.C., Wander, G.S., Buyya, R.: HealthFog: an ensemble deep learning based smart healthcare system for automatic diagnosis of heart diseases in integrated IoT and Fog computing environments. Future Gen. Comput. Syst. 104, 187–200 (2019)CrossRefGoogle Scholar
  4. 4.
    Alraja, M.N., Farooque, M.M.J., Khashab, B.: The effect of security, privacy, familiarity, and trust on users’ attitudes toward the use of the IoT-based healthcare: the mediation role of risk perception. IEEE Access 7, 111341–111354 (2019)CrossRefGoogle Scholar
  5. 5.
    Sodhro, A.H., Sangaiah, A.K., Pirphulal, S., Sekhari, A., Ouzrout, Y.: Green media-aware medical IoT system. Multimedia Tools Appl. 78(3), 3045–3064 (2019)CrossRefGoogle Scholar
  6. 6.
    Sodhro, A.H., Pirbhulal, S., Sangaiah, A.K.: Convergence of IoT and product lifecycle management in medical health care. Future Gen. Comput. Syst. 86, 380–391 (2018)CrossRefGoogle Scholar
  7. 7.
    Verma, P., Sood, S.K.: Fog assisted-IoT enabled patient health monitoring in smart homes. IEEE Internet Things J. 5(3), 1789–1796 (2018)CrossRefGoogle Scholar
  8. 8.
    Saha, H.N., Auddy, S., Pal, S., Kumar, S., Pandey, S., Singh, R., Singh, A.K., Sharan, P., Ghosh, D., Saha, S.: Health Monitoring using Internet of Things (IoT). In: 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), pp. 69–73. IEEE, August 2017Google Scholar
  9. 9.
    Zanjal, S.V., Talmale, G.R.: Medicine reminder and monitoring system for secure health using IoT. Procedia Comput. Sci. 78, 471–476 (2016)Google Scholar
  10. 10.
    Almotiri, S.H., Khan, M.A., Alghamdi, M.A.: Mobile health (m-health) system in the context of IoT. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pp. 39–42, August 2016Google Scholar
  11. 11.
    Dimitrov, D.V.: Medical internet of things and big data in healthcare. Healthcare Inform. Res. 22(3), 156–163 (2016)CrossRefGoogle Scholar
  12. 12.
    Azariadi, D., Tsoutsouras, V., Xydis, S., Soudris, D.: ECG signal analysis and arrhythmia detection on IoT wearable medical devices. In: 2016 5th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1–4. IEEE, May 2016Google Scholar
  13. 13.
    Yacchirema, D.C., Sarabia-Jácome, D., Palau, C.E., Esteve, M.: A smart system for sleep monitoring by integrating IoT with big data analytics. IEEE Access 6, 35988–36010 (2018)Google Scholar
  14. 14.
    Valanarasu, Mr R.: Smart and secure IoT and AI integration framework for hospital environment. J. ISMAC 1(03), 172–179 (2019)CrossRefGoogle Scholar
  15. 15.
    Lee, J., Kim, D., Ryoo, H.Y., Shin, B.S.: Sustainable wearables: wearable technology for enhancing the quality of human life. Sustainability 8(5), 466 (2016)CrossRefGoogle Scholar
  16. 16.
  17. 17.
    Smys, S., Raj, J.S.: Internet of things and big data analytics for health care with cloud computing. J. Inf. Technol. 1(01), 9–18 (2019)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • R. Jane Preetha Princy
    • 1
    Email author
  • B. Brenda Jennifer
    • 1
  • M. J. Abiya
    • 1
  • B. Thilagavathi
    • 1
  • Saravanan Parthasarathy
    • 2
  • Arun Raj Lakshminarayanan
    • 2
  1. 1.Karunya Institute of Technology and SciencesCoimbatoreIndia
  2. 2.B.S. Abdur Rahman Crescent Institute of Science and TechnologyChennaiIndia

Personalised recommendations