PhonoSys: Mobile phonocardiography diagnostic system for newborns

Abstract

Heart murmurs have been found to be a life threatening condition for the newborns who are born with cardiac ab-normalities. The first sign of pathological changes of heart valves appear in phonocardiogram (PCG) which contains very useful information about cardiovascular system. It is a challenging venture to distinguish pathological murmurs from innocent ones. In this paper, we have developed a di-agnostic algorithm called PhonoSys to analyze PCG using random forest. PhonoSys algorithm will run on mobile de-vices for remote PCG analysis. We recorded PCG signals from 120 newborns who are either healthy or with cardiac abnormalities. Eventually, in this study, 97.6% accuracy, 96.8% sensitivity, and 98.4% specificity were obtained to classify between innocent and pathological murmurs.