Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266

Year 2025, Volume: 15 Issue: 1, 15 - 20

Harun Sümbül

Abstract

The Covid-19 pandemic, declared a global pandemic by the World Health Organization, has adversely affected nearly everyone physically, mentally, and socially. During this period, an increase in cardiovascular diseases has been observed, attributed to factors such as changes in dietary habits, physical inactivity due to staying at home, increased consumption of frozen processed food, psychological stress, lack of social interaction, and consequently, rising alcohol and tobacco consumption. This has led to a significant increase in cardiologists' workload and a shift from traditional technologies to remote patient monitoring models.
In this context, remote Electrocardiogram (ECG) monitoring-based approaches have become widely used in recent years for the detection of heart diseases, owing to their reliability and non-invasive nature.
This study introduces an SMTP-based tele-monitoring approach that facilitates remote monitoring of ECG signals and supports a medical simulator, aiming to alleviate the workload of healthcare professionals. The primary objective of this research is to develop a wireless monitoring framework for ECG signals, aiming to enhance patient monitoring and safety, reduce the workload of healthcare providers, and ensure equitable access to healthcare services. Our research focuses on implementing a portable, real-time, and cost-effective ECG monitoring system.

Keywords

ECG, SMTP, ESP8266, Telemonitoring, IoT

Ethical Statement

All procedures carried out in studies involving human participants adhered to the ethical standards set by the institutional and national research committee. The study also conformed to the principles outlined in the 1964 Helsinki Declaration and its subsequent amendments or comparable ethical standards.

Supporting Institution

The research conducted in this study received support from the Coordinatorship of Ondokuz Mayıs University's Scientific Research Projects in Samsun, Turkey. The project was identified by the project number PYO.YMY.1908.22.004.

Project Number

PYO.YMY.1908.22.004

Thanks

This study competed as a finalist in the TEKNOFEST 2023 Artificial Intelligence in Health Competition in the University and Above Level Medical Technologies Category. Thank you for your interest

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