Health Monitoring System Using IOT

Abstract

The Internet of Things (IoT) has emerged as atransformative technology that has revolutionized the field of healthcare. One game-changing technology that has completely changed the healthcare industry is the Internet of Things (IoT). Patient health monitoring is one of the most exciting uses of the Internet of Things (IoT) in healthcare. It enables medical professionals to remotely check on patients\' health and offer timely care when necessary. The goal of this research project is to create an Internet of Things (IoT)-based patient health monitoring system that will help patients—especially the elderly—who are at risk of dying suddenly from neglecting their medical needs. The suggested system monitors the patient\'s vital signs using an ESP8266 connected heartbeat sensor and an Infrared IR temperature sensor, respectively. The suggested system monitors the patient\'s vital signs using an ESP 8266 connected heartbeat sensor and an Infrared IR temperature sensor, respectively. The data is gathered by the sensors and transmitted over a Wi-Fi connection to an Internet of Things (IoT) web platform. Doctors and nurses can monitor the patient\'s temperature and heart rate in real time using the Internet of Things (IoT) platform. In the event of a medical emergency, the system is intended to notify healthcare professionals so that the patient can receive timely medical attention.

Introduction

The text discusses the development of an IoT-based patient health monitoring system designed to improve healthcare by enabling continuous, remote tracking of vital signs. Traditional hospital monitoring methods are often slow, manual, and error-prone, while many facilities still rely on paper records. IoT technology, using smart sensors and cloud platforms, allows real-time monitoring of parameters like heart rate, body temperature, and motion (including fall detection), providing quicker emergency responses and better data management.

This study specifically utilizes low-cost sensors (MAX30100 for heart rate and SpO2, LM35 for temperature, and MPU6050 for motion/fall detection) connected to an ESP8266 NodeMCU microcontroller. Due to power and communication limitations, the system splits data transmission: heart rate and SpO2 data are sent to the Blynk platform for mobile app visualization, while temperature and motion data go to Firebase for cloud storage and dashboard access.

The hardware-software design ensures stable operation and real-time, reliable data flow by leveraging dual IoT platforms, facilitating scalable, cost-effective remote healthcare monitoring suitable for elderly care, chronic disease management, and underserved areas. The study builds on existing research by integrating multiple sensors with optimized data routing and modern cloud services to enhance healthcare delivery.

Conclusion

In summary, developing a health monitoring system using ESP8266 NodeMCU presents a compelling approach to proactive healthcare management. By harnessing the capabilities of this platform alongside a range of sensors and Wi-Fi connectivity, real-time collection and processing of vital health parameters become feasible. Through robust system architecture and implementation, including secure data handling and efficient communication protocols, the system ensures reliability and accuracy. By delivering timely alerts and notifications, it empowers users and caregivers to respond effectively to any detected anomalies or emergencies. Ultimately, the deployment of such a system holds the potential to revolutionize healthcare by enabling continuous monitoring, early detection of health issues, and personalized interventions, thereby enhancing health outcomes and fostering overall well- being

References

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Copyright

Copyright © 2025 Maroti Biradar, Aditya Kannawar, Avadhoot Patil, Sachin Bodke, Mukta Shelke. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.