Research Article
Heart Murmur Detection using Fractal Analysis of Phonocardiograph Signals
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 88 - Issue 12 |
| Published: February 2014 |
| Authors: Anandarup Mukherjee, Nidhi Pathak, Anirban Roy |
10.5120/15407-3928
|
Anandarup Mukherjee, Nidhi Pathak, Anirban Roy . Heart Murmur Detection using Fractal Analysis of Phonocardiograph Signals. International Journal of Computer Applications. 88, 12 (February 2014), 30-35. DOI=10.5120/15407-3928
@article{ 10.5120/15407-3928,
author = { Anandarup Mukherjee,Nidhi Pathak,Anirban Roy },
title = { Heart Murmur Detection using Fractal Analysis of Phonocardiograph Signals },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 88 },
number = { 12 },
pages = { 30-35 },
doi = { 10.5120/15407-3928 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Anandarup Mukherjee
%A Nidhi Pathak
%A Anirban Roy
%T Heart Murmur Detection using Fractal Analysis of Phonocardiograph Signals%T
%J International Journal of Computer Applications
%V 88
%N 12
%P 30-35
%R 10.5120/15407-3928
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper proposes a method of differentiating normal heart sounds S1 and S2 from those of a heart with valvular dysfunction by comparing the generated Fractal dimension using Higuchi's Fractal Dimension. The aim is to provide a classifying parameter which can clearly demarcate normal heart sounds from those with murmurs. The performance of this method is verified against a Continuous Wavelet transform generated time- scale domain method.
References
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