Smart Air Quality Monitoring System for Pulmonary Disease Management - OSA

This paper presents a new Internet of Things (IoT) system designed to simultaneously monitor air quality and detect Obstructive Sleep Apnea (OSA). The system uses two microcontrollers, Arduino Nano 33 IoT and Xiao ESP32 C3. The Arduino Nano 33 IoT, equipped with a DHT22 (temperature and humidity), MQ7 (carbon dioxide), MP503 (alcohol) and MQ135 (volatile organic compound), collects air quality data. This data is transmitted wirelessly via Bluetooth Low Energy (BLE) to the AeroSense mobile application developed by MIT App Inventor. The application analyzes the received data, calculates air quality indices and displays them in three categories: good, moderate and Bad. Furthermore, Xiao ESP32 C3 functions as a core for sleep apnea detection. It integrates the NTC thermal sensors for temperature measurements and the MAX30102 pulse oximeter sensor for SpO2 (blood oxygen saturation) and heart rate measurement. This data is also transmitted through Bluetooth to the Arduino Cloud platform. Finally, the Arduino cloud functions as a relay, transmitting sleep apnea data to AeroSense for visualization. The application analyzes the received SpO2 data to identify potential sleep apnea based on predefined thresholds and presents a risk assessment of sleep apnea. This two-function IoT system provides a comprehensive solution for monitoring both environmental air quality and individual sleep health, thereby improving well-being and informed decision-making.