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

Xingri QUAN; Jongwon SEOK; Keunsung BAE

doi:10.1587/transinf.2014EDL8195

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

Xingri QUAN, Jongwon SEOK, Keunsung BAE

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Summary :

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.

Publication: IEICE TRANSACTIONS on Information Vol.E98-D No.3 pp.745-748

Publication Date: 2015/03/01

Publicized: 2014/11/25

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2014EDL8195

Type of Manuscript: LETTER

Category: Biological Engineering

Authors

Xingri QUAN
  Kyungpook National University
Jongwon SEOK
  Changwon National University
Keunsung BAE
  Kyungpook National University

Keyword

heart sound, simplicity, Gaussian regression

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Xingri QUAN, Jongwon SEOK, Keunsung BAE, "Detection of S1/S2 Components with Extraction of Murmurs from Phonocardiogram" in IEICE TRANSACTIONS on Information, vol. E98-D, no. 3, pp. 745-748, March 2015, doi: 10.1587/transinf.2014EDL8195.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2014EDL8195/_p

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@ARTICLE{e98-d_3_745,
author={Xingri QUAN, Jongwon SEOK, Keunsung BAE, },
journal={IEICE TRANSACTIONS on Information},
title={Detection of S1/S2 Components with Extraction of Murmurs from Phonocardiogram},
year={2015},
volume={E98-D},
number={3},
pages={745-748},
abstract={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.},
keywords={},
doi={10.1587/transinf.2014EDL8195},
ISSN={1745-1361},
month={March},}

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TY - JOUR
TI - Detection of S1/S2 Components with Extraction of Murmurs from Phonocardiogram
T2 - IEICE TRANSACTIONS on Information
SP - 745
EP - 748
AU - Xingri QUAN
AU - Jongwon SEOK
AU - Keunsung BAE
PY - 2015
DO - 10.1587/transinf.2014EDL8195
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2015
AB - 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.
ER -