Smart Healthcare Monitoring System Using Zigbee Protocol
Keywords:
Zigbee, Human Health Monitoring, Wireless Sensor Networks, Arduino, Remote Patient Monitoring, Wearable Sensors, ECG, Blood Pressure, SpO2, Telemedicine, Real-Time Data Transmission, Mesh Networking, Low-Power Communication, IoT in Healthcare, Medical Alert SystemsAbstract
In today’s fast-paced world, healthcare technology must evolve to provide accurate, real-time patient monitoring while ensuring user-friendliness and efficiency. This research explores a Zigbee-based human health monitoring system that leverages low-power wireless communication to integrate multiple biometric sensors. The proposed system gathers vital data such as heart rate, blood pressure, oxygen saturation, and electrocardiogram readings through wearable sensor modules. By processing these signals via an Arduino microcontroller and transmitting them over a mesh network, the system enables continuous remote monitoring and prompt alerting for abnormal physiological conditions. This approach not only enhances patient care but also significantly reduces the need for frequent hospital visits, thereby alleviating pressure on medical facilities. The study demonstrates a comprehensive blend of human-centric design and advanced engineering principles. Extensive experimental evaluations were conducted in realistic hospital environments to verify system reliability, performance, and energy efficiency. The findings reveal that the Zigbee-enabled architecture ensures robust data transmission with minimal power consumption, making it ideally suited for long-term monitoring applications in both clinical and field settings. The research provides compelling evidence for the integration of wireless sensor networks in healthcare, underscoring the potential for future innovations in remote patient care and telemedicine.
Downloads
References
S. N. . Divekar and M. K. . Nigam, “Machine Learning Based Dynamic Band Selection for Splitting Auditory Signals to Reduce Inner Ear Hearing Losses”, IJRITCC, vol. 11, no. 6, pp. 71–78, Jul. 2023.
Divekar S, Nigam MK. (2022). Minimize Frequency Overlapping of Auditory Signals using Complementary Comb Filters. SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 14(3), 333-336.
Prof. Sudhir N. Divekar, Ankita. A. Shinde, Rohini. R. Mulay, Pooja. V. Jaybhaye, "Real Time Bridge Monitoring System", International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Online ISSN : 2394-4099, Print ISSN : 2395-1990, Volume 7 Issue 3, pp. 406-411, May-June 2020. Journal URL : http://ijsrset.com/IJSRSET2073100
Darwish, A., & Hassanien, A. E. (2011). Wearable and implantable wireless sensor network solutions for healthcare monitoring. Sensors, 11(6), 5561-5595.
Gao, T., Greenspan, D., Welsh, M., Juang, R., & Alm, A. (2005). Vital signs monitoring and patient tracking over a wireless network. Proceedings of the 27th Annual International Conference of the IEEE EMBS, 102–105.
Ko, J., Lu, C., Srivastava, M. B., Stankovic, J. A., Terzis, A., & Welsh, M. (2010). Wireless sensor networks for healthcare. Proceedings of the IEEE, 98(11), 1947-1960.
Kumar, S., & Lee, Y. (2012). Security issues in healthcare applications using wireless medical sensor networks: A survey. Sensors, 12(1), 55-91.
Reza, S. M. A., Kabir, M. H., & Mahmud, S. H. (2012). A Zigbee based patient monitoring system. International Journal of Engineering Research and Applications, 2(5), 1519-1524.
Kaur, R., & Kaur, R. (2014). An efficient ZigBee based smart patient health care monitoring system. International Journal of Computer Applications, 97(18), 36–43.
Thiyagarajan, R., & Lakshmanan, A. (2013). Health monitoring system using Zigbee. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(3), 1210–1216.
Nandakumar, R., Gollakota, S., & Watson, N. (2015). Contactless sleep apnea detection on smartphones. Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services, 45-57.
Majumder, S., Deen, M. J., & Fung, S. (2017). Smart wearable sensors for health monitoring applications: A review. Sensors, 17(1), 130.
Lee, H., & Lee, H. J. (2015). Security and privacy issues in wireless sensor networks for healthcare applications. Journal of Communications and Networks, 17(5), 453–462.
Zhao, L., Yu, H., Wang, S., & Zhang, H. (2017). A cloud-based remote healthcare monitoring system. Journal of Cloud Computing, 6(1), 1-12.
Patel, M., & Wang, J. (2010). Applications, challenges, and prospective in emerging body area networking technologies. IEEE Wireless Communications, 17(1), 80-88.
Chiuchisan, I., & Geman, O. (2014). An approach of a decision support and home monitoring system for patients with neurological disorders using Internet of Things concepts. WSEAS Transactions on Systems, 13, 460–469.
Kinsella, A., et al. (2011). A review of wearable sensor systems for monitoring body movements of stroke survivors. Rehabilitation Engineering Research Center on Communication Enhancement.
Xu, B., Da Xu, L., Cai, H., Xie, C., Hu, J., & Bu, F. (2014). Ubiquitous data accessing method in IoT-based information system for emergency medical services. IEEE Transactions on Industrial Informatics, 10(2), 1578–1586.
Cavallari, R., Martelli, F., Rosini, R., Buratti, C., & Verdone, R. (2014). A survey on wireless body area networks: Technologies and design challenges. IEEE Communications Surveys & Tutorials, 16(3), 1635-1657.
Pantelopoulos, A., & Bourbakis, N. G. (2010). A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 40(1), 1-12.
Otto, C., Milenkovic, A., Sanders, C., & Jovanov, E. (2006). System architecture of a wireless body area sensor network for ubiquitous health monitoring. Journal of Mobile Multimedia, 1(4), 307-326.
Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K. S. (2015). The Internet of Things for health care: A comprehensive survey. IEEE Access, 3, 678-708.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.