IoT-Based Integrated Environmental and Health Monitoring System for Asthma Patient Management

In the current fast-paced world, respiratory illnesses like asthma have become increasingly common due to rising pollution and changing environmental conditions. This project demonstrates a real-time asthma monitoring and alert system based on Internet of Things (IoT) approaches. It automatically detects environmental and physiological parameters to assess the potential risk of asthma attacks in an individual. A compact embedded system is developed using a combination of sensors to monitor temperature, humidity, air quality, and pulse rate, which are typically associated with asthma triggers. The system is implemented using Arduino-compatible hardware and ESP8266, supported by sensors like MQ-2, DHT11, and pulse sensors for continuous data acquisition. It takes input from real-time environmental conditions and health data, performing processing and cloud transmission for live monitoring. The results are displayed on an Android application through Firebase, providing the user with alerts and preventive suggestions. Development and testing were conducted in a controlled environment using Arduino IDE and Android Studio. The results demonstrate the efficiency of the system in detecting asthma risk levels, useful for early warning, patient self-care, and remote monitoring. Future work can include integration of machine learning models for intelligent asthma prediction and support for wearable device compatibility.