Research Article
PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns
@ARTICLE{10.4108/eai.14-10-2015.2261614, author={Amir Mohammad Amiri and Giuliano Armano and Amir Mohammad Rahmani and Kunal Mankodiya}, title={PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns}, journal={EAI Endorsed Transactions on Mobile Communications and Applications}, volume={3}, number={10}, publisher={ACM}, journal_a={MCA}, year={2017}, month={6}, keywords={phonocardiogram, heart murmurs, m-health, random forest, newborn}, doi={10.4108/eai.14-10-2015.2261614} }- Amir Mohammad Amiri
Giuliano Armano
Amir Mohammad Rahmani
Kunal Mankodiya
Year: 2017
PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns
MCA
EAI
DOI: 10.4108/eai.14-10-2015.2261614
Abstract
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% speci city were obtained to classify between innocent and pathological murmurs.
Copyright © 2015 K. Mankodiya et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
