Skip to main content

Real-Time Healthcare Surveillance System Based on Cloud Computing and IoT

  • Conference paper
  • First Online:
Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2022)

Abstract

This article illustrates the use of an IoT-based, real-time remote Biosignals monitoring system with minimal power consumption. This work represents an advancement in the realm of remote health monitoring. Every year, more people need health care, and the traditional bio-signals surveillance systems need patients to be present in person within hospitals. This might make it difficult to care for the patients, particularly those who have serious and fragile medical issues. Internet technology and current electronic devices may thus provide useful solutions in this area. Based on that, this project uses a mobile application as an IoT platform to remotely monitor the heart rate and a live ECG signal. Using a microcontroller-based device, the signals are measured and processed (Arduino). The primary contribution of this study is the transmission of an electrocardiogram (ECG signal) to a particular mobile device (MobiDev) and the transmission of these signals to the Cloud Alarm Server (CAS) for expert observation. This helps to diagnose cardiac disease before the worst may happen. Finally, both mobile devices and personal computers (PCs) are used to show the project’s results. The recommended approach helps specialists keep track of their patient’s problems by providing ECG data to professionals’ MobiDev in an understandable manner. The testing results of the proposed system demonstrated the system’s ease of use and clinicians’ ability to interact with patients directly across vast distances and monitor their health in real-time.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Karaca, Y., Moonis, M., Zhang, Y.D., Gezgez, C.: Mobile cloud computing-based stroke healthcare system. Int. J. Inf. Manage. 45, 250–261 (2019)

    Article  Google Scholar 

  2. Thota, C., Sundarasekar, R., Manogaran, G., Varatharajan, R., Priyan, M.K.: Centralized fog computing security platform for IoT and cloud in the healthcare system. In: Fog Computing: Breakthroughs in Research and Practice, pp. 365–378. IGI Global (2018)

    Google Scholar 

  3. Liu, Y., Zhang, Y., Ling, J., Liu, Z.: Secure and fine-grained access control on e-healthcare records in mobile cloud computing. Futur. Gener. Comput. Syst. 78, 1020–1026 (2018)

    Article  Google Scholar 

  4. Roy, S., Das, A.K., Chatterjee, S., Kumar, N., Chattopadhyay, S., Rodrigues, J.J.: Provably secure fine-grained data access control over multiple cloud servers in mobile cloud computing based healthcare applications. IEEE Trans. Industr. Inf. 15(1), 457–468 (2018)

    Article  Google Scholar 

  5. Ali, A.A., Omran, N.F., Alsayied, A.A.: EgyHealth System: A Mobile Healthcare System Application with Android and Cloud Computing. In: Hassanien, A.-E., Chang, K.-C., Mincong, T. (eds.) AMLTA 2021. AISC, vol. 1339, pp. 803–815. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-69717-4_74

    Chapter  Google Scholar 

  6. Ganatra, N.P., Patel, R.S.: Proposed customized architecture of mobile cloud computing in health care domain. Int. J. Adv. Res. Comput. Sci. 8(5) (2017)

    Google Scholar 

  7. Abdulbaqi, A.S., Obaid, A.J., Mohammed, A.H.: ECG signals recruitment to implement a new technique for medical image encryption. J. Discrete Math. Sci. Cryptogr. 24(6), 1663–1673 (2021)

    Article  MATH  Google Scholar 

  8. Škraba, A. Koložvari, A., Kofjac, D., Stojanovic, R., Stanovov, V., Semenkin, E.: Prototype of group heart rate monitoring with NODEMCU ESP8266. In 2017 6th Mediterranean Conference on Embedded Computing (MECO), pp. 1–4 (2017)

    Google Scholar 

  9. Durán-Vega, L.A., et al.: An IoT system for remote health monitoring in elderly adults through a wearable device and mobile application. Geriatrics 4(2), 34 (2019)

    Article  Google Scholar 

  10. Wan, J., et al.: Wearable IoT enabled real-time health monitoring system. EURASIP J. Wirel. Commun. Netw. 2018(1), 1 (2018). https://doi.org/10.1186/s13638-018-1308-x

    Article  Google Scholar 

  11. Krishnan, D.S.R., Gupta, S.C., Choudhury, T.: An IoT-based patient health monitoring system. In: 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE), pp. 01–07. IEEE (2018)

    Google Scholar 

  12. Hamim, M., Paul, S., Hoque, S.I., Rahman, M.N., Baqee, I.-A.: IoT based remote health monitoring system for patients and elderly people. In: 2019 International Conference on robotics, Electrical and Signal Processing Techniques (ICREST), pp. 533–538. IEEE (2019)

    Google Scholar 

  13. Yang, Z., Zhou, Q., Lei, L., Zheng, K., Xiang, W.: An IoT-cloud based wearable ECG monitoring system for smart healthcare. J. Med. Syst. 40(12), 286 (2016)

    Article  Google Scholar 

  14. Abdelgawad, A., Yelamarthi, K., Khattab, A.: IoT-based health monitoring system for active and assisted living. In: International Conference on Smart Objects and Technologies for Social Good, pp. 11–20. Springer (2016)

    Google Scholar 

  15. Tastan, M.: IoT based wearable smart health monitoring system. Celal Bayar Üniversitesi Fen Bilimleri Dergisi 14(3), 343–350 (2018)

    Article  Google Scholar 

  16. Aliyu, A., Abdullah, A.H., Kaiwartya, O., Tayyab, M., Joda, U.M.: Mobile cloud computing: layered architecture. In: 2018 Seventh ICT International Student Project Conference (ICT-ISPC), pp. 1–6. IEEE (2018)

    Google Scholar 

  17. Aliyu, A., Abdullah, A.H., Kaiwartya, O., Hussain Madni, S.H., Joda, U.M., Ado, A., Tayyab, M.: Mobile cloud computing: taxonomy and challenges. J. Comput. Netw. Commun. (2020)

    Google Scholar 

  18. Abdulbaqi, A.S., Obaid, A.J., Alazawi, S.A.H.: A smart system for health caregiver based on IoMT: toward tele-health caregiving. Int. J. Online Biomed. Eng. 17(7) (2021)

    Google Scholar 

  19. Bale, A.S., Gupta, A., Prajwal, R., Manoj, R., Gowda, M.M., Khatokar, J.A., Ramasamy, A.: Mobile cloud computing-enabling technologies and applications. In: 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), pp. 491–496. IEEE (2021)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Azmi Shawkat Abdulbaqi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hamed, R.N., Abdulbaqi, A.S. (2023). Real-Time Healthcare Surveillance System Based on Cloud Computing and IoT. In: Al-Sharafi, M.A., Al-Emran, M., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems . ICETIS 2022. Lecture Notes in Networks and Systems, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-031-20429-6_52

Download citation

Publish with us

Policies and ethics