The implementation of an Internet of Things-based system for asthmatic oxygen level warning, case study: KAMONYI district

Authors

  • Katabarwa Thierry Department of Information Technology, Institut D’enseignement Supérieur De Ruhengeri,B.P. 155 Ruhengeri,Rwanda.

DOI:

https://doi.org/10.69996/vybdja39

Keywords:

Asthma, IoT, Oxygen Saturation, MAX30102, ESP8266.

Abstract

Asthma is a long-term respiratory disorder that millions of people experience around the world and control is needed in order to avoid life-threatening attacks due to rapid changes in the oxygen saturation within the blood. However, most patients, and especially children, do not have access to such real-time systems that could result in timely alerts at the time of oxygen desaturation incidents, despite recent technology in health monitoring. In this study, we have the design and implementation of oxygen level warning system using IoT, which is specific to asthmatic persons. It integrates a MAX30102 SpO2 sensor, NodeMCU, and a GSM module to conduct a continuous monitoring process and automatically message in the form of SMS in the event of a low oxygen saturation level that exceeds the critical level. To determine the responsiveness and reliability of the prototype, little virtual care settings as well as the real healthcare settings were used to test the prototype. The final outcomes revealed that the system was able to correctly identify oxygen falls, immediately respond and provide alerts with minimal or no response time at all. The opportunity of real time remote monitoring was created with cloud integration minimizing the need to make constant physical observation. The results present the possibilities of the IoT-based solutions in the improvement of respiratory health management with the help of affordable, scalable, and accessible technology.

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Published

2026-03-31

How to Cite

Katabarwa Thierry. (2026). The implementation of an Internet of Things-based system for asthmatic oxygen level warning, case study: KAMONYI district. Journal of Sensors, IoT & Health Sciences (JSIHS,ISSN: 2584-2560), 4(1), 57-81. https://doi.org/10.69996/vybdja39