Respiratory sound classification : signal quality analysis

Abstract

As a major disease leading to death in recent years, Pulmonary Edema disease is difficult to treat in many parts of the world. Its diagnosis and treatment difficulties are mainly reflected in the low efficiency of the diagnosis and treatment method, the diagnosis and treatment accuracy, and the discomfort brought to patients during the treatment. Given the technical limitations of the way the world currently treats such conditions, it is extremely important and urgent for the quality of signals to be controlled accurately. This study uses MATLAB programming, basic knowledge of signal processing, and machine learning. All audio sample files were recorded from volunteers, which assure the study conducted with real data and results are effective.