Name
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% specicity were obtained to classify between innocent and pathological murmurs. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.4108/eai.14-10-2015.2261614 | ICST Trans. Mobile Communications Applications |
Field | DocType | Volume |
Phonocardiogram,Diagnostic system,Heart murmur,Internal medicine,Cardiology,Medicine | Journal | 2 |
Issue | Citations | PageRank |
10 | 1 | 0.41 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Mohammad Amiri | 1 | 51 | 3.47 |
| Giuliano Armano | 2 | 325 | 42.89 |
| amirmohammad rahmani | 3 | 400 | 33.05 |
| Kunal Mankodiya | 4 | 165 | 17.88 |