IOT Based Heart Monitoring System Using ECG
Sagar Waghchawre1, Avishkar Talke2, Anvay Khopasde2 ,Akshada Kshirsagar2
1Department of Electronics & Telecommunication,
Faculty of Electronics & Telecommunication Engineering,
JSPM’s Jaywantrao Sawant College of Engineering,
Savitribai Phule Pune University,
Pune 412028, India
2Department of Electronics & Telecommunication,
JSPM’s Jaywantrao Sawant College of Engineering,
Savitribai Phule Pune University,
Pune 412028, India.
Abstract
Cardiovascular diseases are among the top causes of death globally, highlighting the critical need for dependable, continuous, and remote heart monitoring solutions. This study introduces the development of a cost-effective IoT-based cardiac monitoring system designed to detect and transmit real-time ECG signals. The setup features an AD8232 ECG sensor connected to an Arduino-compatible Atmega328p microcontroller, which captures and preprocesses electrical signals from the heart. For wireless communication, the system uses a NodeMCU (ESP8266) module to send the data to a cloud platform, enabling real-time visualization and analysis through web and mobile interfaces. This allows healthcare providers and caregivers to remotely observe cardiac activity and receive instant notifications in case of irregularities such as arrhythmias. The system also supports data logging for long-term heart health tracking and historical trend analysis, improving diagnostic precision and patient care. Its key strengths—portability, affordability, and ease of setup—make it highly suitable for deployment in remote or underserved regions where access to advanced cardiac facilities is limited. By integrating IoT technologies with biomedical sensors, this solution promotes early detection, enhances emergency medical response, and supports the shift toward personalized and preventive healthcare. The implementation showcases how embedded systems and wireless networks can collaboratively tackle major challenges in contemporary medical practice.
Keywords: IoT, ECG, AD8232, Atmega328p, NodeMCU, ESP8266, Real-time Monitoring, Cloud Computing, Telemedicine, Remote Patient Monitoring, Biomedical Sensors
