Evidence map›Paper›PMID 21627809›Full record

ArticleBiomedical engineering online2011

A color spectrographic phonocardiography (CSP) applied to the detection and characterization of heart murmurs: preliminary results.

Reza Ramezani Sarbandi, John D Doyle, Mahdi Navidbakhsh, Kamran Hassani, Hassan Torabiyan

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Article in Biomedical engineering online, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Reza Ramezani SarbandiDepartment of Biomechanics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
John D Doyle
Mahdi Navidbakhsh
Kamran Hassani
Hassan Torabiyan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough cardiac auscultation remains important to detect abnormal sounds and murmurs indicative of cardiac pathology, the application of electronic methods remains seldom used in everyday clinical practice. In this report we provide preliminary data showing how the phonocardiogram can be analyzed using color spectrographic techniques and discuss how such information may be of future value for noninvasive cardiac monitoring.

methodsWe digitally recorded the phonocardiogram using a high-speed USB interface and the program Gold Wave http://www.goldwave.com in 55 infants and adults with cardiac structural disease as well as from normal individuals and individuals with innocent murmurs. Color spectrographic analysis of the signal was performed using Spectrogram (Version 16) as a well as custom MATLAB code.

resultsOur preliminary data is presented as a series of seven cases.

conclusionsWe expect the application of spectrographic techniques to phonocardiography to grow substantially as ongoing research demonstrates its utility in various clinical settings. Our evaluation of a simple, low-cost phonocardiographic recording and analysis system to assist in determining the characteristic features of heart murmurs shows promise in helping distinguish innocent systolic murmurs from pathological murmurs in children and is expected to useful in other clinical settings as well.

Indexed as

AdolescentChildChild, PreschoolColorFemaleHeart MurmursHumansInfantMalePhonocardiographySignal Processing, Computer-AssistedSound Spectrography

Identifiers

PMID21627809
PMCPMC3126734

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.