IOT Based Patient Health Monitoring System
Article Sidebar
Main Article Content
The rapid advancement of Internet of Things (IoT) technology has significantly transformed the healthcare sector by enabling continuous and remote patient monitoring. This paper presents an IoT-based smart patient health monitoring system using ESP32 that efficiently tracks vital health parameters such as body temperature, blood pressure, and glucose levels in real time. The system utilizes sensors to collect physiological data, which is processed by the ESP32 microcontroller and transmitted via Wi-Fi to a Node.js-based server. The collected data is stored in a database and visualized through a web-based dashboard, allowing caregivers and medical professionals to monitor patient health remotely. Additionally, the system generates alerts when abnormal health conditions are detected, ensuring timely medical intervention. The proposed solution reduces the need for manual monitoring, improves healthcare accessibility, and enhances patient safety. Due to its low cost, scalability, and real-time capabilities, the system is highly suitable for home-based and remote healthcare applications.
Downloads
References
1K. Sangeethalakshmi et al., “Patient Health Monitoring System Using IoT,” Materials Today: Proceedings, 2023.
S. Abdulmalek et al., “IoT-Based Healthcare Monitoring System: A Review,” Healthcare, vol. 10, no. 10, 2022.
Rejeb et al., “Internet of Things in Healthcare: A Review and Bibliometric Analysis,” Internet of Things, vol. 22, 2023.
Li et al., “A Review of IoT Applications in Healthcare,” Neurocomputing, vol. 550, 2024.
O. H. Salman et al., “Machine Learning and IoT for Healthcare Monitoring,” Computer Methods and Programs in Biomedicine, vol. 209, 2021.
Pradhan, S. Bhattacharyya, and K. Pal, “IoT-Based Applications in Healthcare Devices,” Journal of Healthcare Engineering, 2021.
G. Mohapatra et al., “IoT-Driven Remote Health Monitoring System,” Alexandria Engineering Journal, 2025.
R. Saha et al., “IoT-Driven Real-Time Health Monitoring System Prototype,” Internet of Medical Things, 2025.
Mishra et al., “IoT-Based Smart Health Monitoring System with Machine Learning,” Enterprise Information Systems, 2025.
L. Shaw et al., “Role of Artificial Intelligence in IoT-Based Health Monitoring,” Healthcare Analytics, 2025.
M. Zonayed et al., “Machine Learning and IoT in Healthcare Systems,” Healthcare Systems Journal, 2025.
“Smart Health Monitoring System Based on IoT,” Journal of Neonatal Surgery, 2025.
S. Ahammed et al., “IoT-Based Real-Time Remote Health Monitoring System,” International Journal of Research in Engineering and Science, vol. 8, no. 3, 2021.
“IoT-Based Smart Healthcare Monitoring System,” Instrumentation Mesure Métrologie, vol. 22, no. 6, 2023.
“IoT-Based Remote Health Monitoring System for Real-Time Applications,” Journal of Engineering Science Research, 2023.
H. Vyas et al., “Portable IoT-Based Health Monitoring Framework Using ESP32,” Journal of Electronic and Automation Engineering, 2025.
R. Ahmad et al., “ESP32-Based Health Monitoring System,” in Proc. IEEE Int. Conf. on Smart Sensors, 2022.
M. Alruwaili et al., “IoT-Based Health Monitoring Using Mobile Applications,” Computer Systems Science and Engineering, 2023.
K. Qi et al., “Secure IoT-Based Health Monitoring System Using AI,” Journal of Big Data, 2025.
S. Vallabhuni et al., “Hybrid Deep Learning for IoT-Based Health Monitoring,” SAGE Open Medicine, 2025.

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.