Identification of aortic stenosis disease using discrete wavelet packet analysis

Abstract

Heart auscultation which is the interpretation of sounds produced by the heart is a fundamental tool in the diagnosis of heart disease. It is the most commonly used technique for screening and diagnosis in primary health care. The efficiency of this diagnosis can be improved considerably by using modern digital signal processing techniques. This study aims at utilizing the discrete wavelet packet transforms in early detection of an aortic stenosis (AS) using heart sound data collected at Sussex University Hospital in England. From the data analysis, a criteria has been proposed for the detection of the AS disease from the heart sound data