PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns

• Main Authors: Amir Mohammad Amiri, Giuliano Armano, Amir Mohammad Rahmani, Kunal Mankodiya
• Format: Article
• Language: English
• Published: European Alliance for Innovation (EAI) 2016-12-01
• Series: EAI Endorsed Transactions on Mobile Communications and Applications
• Subjects: phonocardiogram; heart murmurs; m-health; random forest; newborn
• Online Access: http://eudl.eu/doi/10.4108/eai.14-10-2015.2261614

Heart murmurs have been found to be a life threatening condition for the newborns who are born with cardiac abnormalities. The first sign of pathological changes of heart valves appears in phonocardiogram 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 diagnostic algorithm called PhonoSys to analyze PCG using random forest. PhonoSys algorithm will run on mobile devices 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% specicity were obtained to classify between innocent and pathological murmurs.