Wearable System for Predictive Asthma Care: Early Trigger Detection and Medication Reminders

Authors

  • D.S.Nivetha Joice, K.Ajitha , J.Ananthajothi , S.Arikesavan MAM School of Engineering, Siruganur, Trichy, Tamil Nadu, India Author

DOI:

https://doi.org/10.15662/IJEETR.2026.0802269

Keywords:

Wearable Healthcare System, Asthma Monitoring, Environmental Sensors, IoT-Based Health Monitoring, Medication Reminder System

Abstract

This project focuses on developing a wearable system designed to support asthma patients through early detection of environmental triggers and timely medication reminders. Asthma is a chronic respiratory disease that can worsen due to changes in air quality, temperature, and humidity. The proposed system continuously monitors these environmental parameters using embedded sensors. It analyzes the collected data in real time and predicts potential asthma-triggering conditions. Once a risk is detected, the system alerts the user through visual and audio notifications. Additionally, it reminds patients to take their medication at the right time. This proactive approach helps in preventing severe asthma attacks. Overall, the system improves patient safety, reduces emergency situations, and enhances quality of life.

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Published

2026-03-28

How to Cite

Wearable System for Predictive Asthma Care: Early Trigger Detection and Medication Reminders. (2026). International Journal of Engineering & Extended Technologies Research (IJEETR), 8(2), 2813-2818. https://doi.org/10.15662/IJEETR.2026.0802269