Heart energy signature spectrogram for cardiovascular diagnosis

<p>Abstract</p> <p>A new method and application is proposed to characterize intensity and pitch of human heart sounds and murmurs. Using recorded heart sounds from the library of one of the authors, a visual map of heart sound energy was established. Both normal and abnormal heart...

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Main Authors: Roy Douglas L, Polyshchuk Vladimir, Kudriavtsev Vladimir
Format: Article
Language:English
Published: BMC 2007-05-01
Series:BioMedical Engineering OnLine
Online Access:http://www.biomedical-engineering-online.com/content/6/1/16
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spelling doaj-9e53bf090e824c208161222f0253278f2020-11-24T22:58:25ZengBMCBioMedical Engineering OnLine1475-925X2007-05-01611610.1186/1475-925X-6-16Heart energy signature spectrogram for cardiovascular diagnosisRoy Douglas LPolyshchuk VladimirKudriavtsev Vladimir<p>Abstract</p> <p>A new method and application is proposed to characterize intensity and pitch of human heart sounds and murmurs. Using recorded heart sounds from the library of one of the authors, a visual map of heart sound energy was established. Both normal and abnormal heart sound recordings were studied. Representation is based on Wigner-Ville joint time-frequency transformations. The proposed methodology separates acoustic contributions of cardiac events simultaneously in pitch, time and energy. The resolution accuracy is superior to any other existing spectrogram method. The characteristic energy signature of the innocent heart murmur in a child with the S3 sound is presented. It allows clear detection of S1, S2 and S3 sounds, S2 split, systolic murmur, and intensity of these components. The original signal, heart sound power change with time, time-averaged frequency, energy density spectra and instantaneous variations of power and frequency/pitch with time, are presented. These data allow full quantitative characterization of heart sounds and murmurs. High accuracy in both time and pitch resolution is demonstrated. Resulting visual images have self-referencing quality, whereby individual features and their changes become immediately obvious.</p> http://www.biomedical-engineering-online.com/content/6/1/16
collection DOAJ
language English
format Article
sources DOAJ
author Roy Douglas L
Polyshchuk Vladimir
Kudriavtsev Vladimir
spellingShingle Roy Douglas L
Polyshchuk Vladimir
Kudriavtsev Vladimir
Heart energy signature spectrogram for cardiovascular diagnosis
BioMedical Engineering OnLine
author_facet Roy Douglas L
Polyshchuk Vladimir
Kudriavtsev Vladimir
author_sort Roy Douglas L
title Heart energy signature spectrogram for cardiovascular diagnosis
title_short Heart energy signature spectrogram for cardiovascular diagnosis
title_full Heart energy signature spectrogram for cardiovascular diagnosis
title_fullStr Heart energy signature spectrogram for cardiovascular diagnosis
title_full_unstemmed Heart energy signature spectrogram for cardiovascular diagnosis
title_sort heart energy signature spectrogram for cardiovascular diagnosis
publisher BMC
series BioMedical Engineering OnLine
issn 1475-925X
publishDate 2007-05-01
description <p>Abstract</p> <p>A new method and application is proposed to characterize intensity and pitch of human heart sounds and murmurs. Using recorded heart sounds from the library of one of the authors, a visual map of heart sound energy was established. Both normal and abnormal heart sound recordings were studied. Representation is based on Wigner-Ville joint time-frequency transformations. The proposed methodology separates acoustic contributions of cardiac events simultaneously in pitch, time and energy. The resolution accuracy is superior to any other existing spectrogram method. The characteristic energy signature of the innocent heart murmur in a child with the S3 sound is presented. It allows clear detection of S1, S2 and S3 sounds, S2 split, systolic murmur, and intensity of these components. The original signal, heart sound power change with time, time-averaged frequency, energy density spectra and instantaneous variations of power and frequency/pitch with time, are presented. These data allow full quantitative characterization of heart sounds and murmurs. High accuracy in both time and pitch resolution is demonstrated. Resulting visual images have self-referencing quality, whereby individual features and their changes become immediately obvious.</p>
url http://www.biomedical-engineering-online.com/content/6/1/16
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AT polyshchukvladimir heartenergysignaturespectrogramforcardiovasculardiagnosis
AT kudriavtsevvladimir heartenergysignaturespectrogramforcardiovasculardiagnosis
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