PhonoSys:新生儿移动心音诊断系统

A. Amiri, G. Armano, Amir-Mohammad Rahmani, K. Mankodiya
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引用次数: 8

摘要

心脏杂音已经被发现是一种威胁生命的条件下出生的新生儿心脏异常。心脏瓣膜病理改变的第一个迹象出现在心音图上,它包含了关于心血管系统的非常有用的信息。区分病理性的杂音和无害的杂音是一项具有挑战性的冒险。在本文中,我们开发了一种称为PhonoSys的诊断算法来使用随机森林分析PCG。PhonoSys算法将在移动设备上运行,用于远程PCG分析。我们记录了120名健康或心脏异常新生儿的PCG信号。最终,本研究获得了97.6%的准确率,96.8%的灵敏度和98.4%的特异性来区分无辜和病理性杂音。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns
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.
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