Detection of S1/S2 Components with Extraction of Murmurs from Phonocardiogram

Xingri QUAN  Jongwon SEOK  Keunsung BAE  

IEICE TRANSACTIONS on Information and Systems   Vol.E98-D   No.3   pp.745-748
Publication Date: 2015/03/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2014EDL8195
Type of Manuscript: LETTER
Category: Biological Engineering
heart sound,  simplicity,  Gaussian regression,  

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The simplicity is a type of measurement that represents visual simplicity of a signal, regardless of its amplitude and frequency variation. We propose an algorithm that can detect major components of heart sound using Gaussian regression to the smoothed simplicity profile of a heart sound signal. The weight and spread of the Gaussians are used as features to discriminate cardiac murmurs from major components of a heart sound signal. Experimental results show that the proposed method is very promising for robust and accurate detection of major heart sound components as well as cardiac murmurs.