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Detection of S1/S2 Components with Extraction of Murmurs from Phonocardiogram
Xingri QUAN Jongwon SEOK Keunsung BAE
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/03/01
Online ISSN: 1745-1361
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.