Development and Feasibility Studies of a Device for Early Prediction of Asthma Attack

摘要

A single sensor-based, inexpensive, and easy-to-adopt asthma attack predictor has been presented. The sensor, fitted inside a breathing mask, tracks the respiration temperature. The temperature pattern is processed by a set of simple algorithms, embedded in an Arduino-UNO controller, to calculate the breath rate, exhaled breath temperature, and its rate of rise of a subject to warn the patient. The device consumes only 410 mW of power. However, the use of Arduino Pro Mini will reduce the power consumption drastically to 0.115 mW. Its predictive performance is clinically satisfactory.