IoT Based Patient Health Monitoring System
DOI:
https://doi.org/10.15662/IJEETR.2026.0802209Keywords:
Internet of Things (IoT), Patient Health Monitoring, Automated Oxygen Supply, SpO2 Monitoring, Vital Signs Tracking, Relay Control Mechanism, Remote Healthcare, Emergency Alert SystemAbstract
Healthcare systems today require smarter and more efficient methods to continuously observe patient conditions without the need for constant hospital visits. This project introduces an IoT Based Patient Health Monitoring System that enables real-time tracking of important physiological parameters. The system is designed to measure values such as body temperature, heart rate, and blood oxygen saturation using appropriate biomedical sensors. The sensed data is processed through a microcontroller unit and transmitted using IoT communication technology to an online platform for remote access. Medical professionals and caregivers can monitor the patient’s health status from any location, which helps in early detection of abnormal conditions. In case of irregular readings, the system can generate alerts to ensure immediate response.
By reducing the dependency on manual monitoring and frequent hospital visits, the proposed system offers a more convenient and cost-effective healthcare solution. It is particularly useful for continuous observation of elderly individuals and patients requiring long-term medical attention. This approach enhances patient safety, improves monitoring accuracy, and supports modern healthcare requirements.
References
1. Partho Kumar Saha and Aisha Singh, "IoT Based Smart ECG Monitoring System", International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol. 11, no. II, pp. 1-10, 2023.
2. K. Manasa and S. C. Venkateswarlu, "A Wearable Health Monitoring System Using Arduino and IoT", 2021 3rd International Conference on Advances in Computing Communication Control and Networking (ICAC3N), pp. 783-788, 2021.
3. D. S. R. Krishnan, S. C. Gupta and T. Choudhury, "An IoT based Patient Health Monitoring System", 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE), pp. 01-07, 2018.
4. D. Priya and S. Sundar, "Health Monitoring System using IoT", 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), pp. 1-3, 2019.
5. C.Nagarajan and M.Madheswaran - ‘Stability Analysis of Series Parallel Resonant Converter with Fuzzy Logic Controller Using State Space Techniques’- Taylor &Francis, Electric Power Components and Systems, Vol.39 (8), pp.780-793, May 2011. DOI: 10.1080/15325008.2010.541746
6. C.Nagarajan and M.Madheswaran - ‘Experimental verification and stability state space analysis of CLL-T Series Parallel Resonant Converter’ - Journal of Electrical Engineering, Vol.63 (6), pp.365-372, Dec.2012. DOI: 10.2478/v10187-012-0054-2
7. C.Nagarajan and M.Madheswaran - ‘Performance Analysis of LCL-T Resonant Converter with Fuzzy/PID Using State Space Analysis’- Springer, Electrical Engineering, Vol.93 (3), pp.167-178, September 2011. DOI 10.1007/s00202-011-0203-9
8. S.Tamilselvi, R.Prakash, C.Nagarajan,“Solar System Integrated Smart Grid Utilizing Hybrid Coot-Genetic Algorithm Optimized ANN Controller” Iranian Journal Of Science And Technology-Transactions Of Electrical Engineering, DOI10.1007/s40998-025-00917-z,2025
9. S.Tamilselvi, R.Prakash, C.Nagarajan,“ Adaptive sliding mode control of multilevel grid-connected inverters using reinforcement learning for enhanced LVRT performance” Electric Power Systems Research 253 (2026) 112428, doi.org/10.1016/j.epsr.2025.112428
10. S.Thirunavukkarasu, C. Nagarajan, 2024, “Performance Investigation on OCF and SCF study in BLDC machine using FTANN Controller," Journal of Electrical Engineering And Technology, Volume 20, pages 2675–2688, (2025), doi.org/10.1007/s42835-024-02126-w
11. C. Nagarajan, M.Madheswaran and D.Ramasubramanian- ‘Development of DSP based Robust Control Method for General Resonant Converter Topologies using Transfer Function Model’- Acta Electrotechnica et Informatica Journal , Vol.13 (2), pp.18-31,April-June.2013, DOI: 10.2478/aeei-2013-0025.
12. C.Nagarajan and M.Madheswaran - ‘DSP Based Fuzzy Controller for Series Parallel Resonant converter’- Springer, Frontiers of Electrical and Electronic Engineering, Vol. 7(4), pp. 438-446, Dec.12. DOI 10.1007/s11460-012-0212-0.
13. C.Nagarajan and M.Madheswaran - ‘Experimental Study and steady state stability analysis of CLL-T Series Parallel Resonant Converter with Fuzzy controller using State Space Analysis’- Iranian Journal of Electrical & Electronic Engineering, Vol.8 (3), pp.259-267, September 2012.
14. C.Nagarajan and M.Madheswaran, “Analysis and Simulation of LCL Series Resonant Full Bridge Converter Using PWM Technique with Load Independent Operation” has been presented in ICTES’08, a IEEE / IET International Conference organized by M.G.R.University, Chennai.Vol.no.1, pp.190-195, Dec.2007
15. Suganthi Mullainathan, Ramesh Natarajan, “An SPSS and CNN modelling based quality assessment using ceramic materials and membrane filtration techniques”, Revista Materia (Rio J.) Vol. 30, 2025, DOI: https://doi.org/10.1590/1517-7076-RMAT-2024-0721
16. M Suganthi, N Ramesh, “Treatment of water using natural zeolite as membrane filter”, Journal of Environmental Protection and Ecology, Volume 23, Issue 2, pp: 520-530,2022
17. 5.H. Bhardwaj, K. Bhatia, A. Jain and N. Verma, "IOT Based Health Monitoring System", 2021 6th International Conference on Communication and Electronics Systems (ICCES), pp. 1-6, 2021.
18. Udayakumar, R., Yogesh Pansambal, S., Anbazhagan, K., & Sugumar, R. Real-time Migration Risk Analysis Model for Improved Immigrant Development Using Psychological Factors. Migr Lett. 2023; 20 (4): 33–42.
19. Gopinathan, V. R. (2025). Designing Cloud-Native Enterprise Systems by Modernizing Applications with Microservices and Kubernetes Platforms. International Journal of Research and Applied Innovations, 8(5), 13052-13063.
20. Murugeshwari, B., Sudharson, K., Panimalar, S. P., Shanmugapriya, M., & Abinaya, M. (2020). SAFE–Secure Authentication in Federated Environment using CEG Key code.
21. Anand, L., & Neelanarayanan, V. (2019). Liver disease classification using deep learning algorithm. BEIESP, 8(12), 5105-5111.





