An Intelligent IoT Wearable for Monitoring and Preventing Asthma Attacks

Abstract

Asthma is a chronic disease that affects the respiratory tract, inflicting coughing, wheezing and difficulty for breathing. In order to mitigate these problems, this paper introduces an IoT wearable that is able to monitor the state of an asthma patient: breathing frequency, heart rate and oxygen saturation level. It also detects parameters that may worsen the situation of the patient: temperature, humidity and presence of gas or particles. The system also notifies the patient when he/she has to take his/her asthma medication. The value of the parameters is shared in real time by Bluetooth and historic values are stored in a database. The system uses color-based indications to calculate the risk level. With this information, the user can detect an asthma attack before it happens. To illustrate how the system operates, asthma attacks were simulated, showing that the system is able to determine that the attack is happening based on the specified input parameters