Asthma attack monitoring and diagnosis: A proposed system

In recent decades, childhood asthma has become more widespread and thus become a worldwide concern. The diagnosis of childhood asthma depends highly on the physician experience and the collaboration from the child part, which sometimes hard to achieve. In many cases, the symptoms might mislead in the diagnosis of asthma. In this paper, we propose a method to diagnose and classify asthma in children. The proposed method is based on using cough sound to extract features that help in asthma diagnosis. Moreover, we propose a hardware system for asthma attack monitoring. The proposed system was implemented and performed by a self-developed computer program written in MATLAB using many cough sound samples of asthmatic and non-asthmatic children.