International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 88 - Issue 12 |
Published: February 2014 |
Authors: Anandarup Mukherjee, Nidhi Pathak, Anirban Roy |
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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
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.