Evidence map›Paper›PMID 22185298›Full record

ArticleBiomedical engineering online2011

Digital Subtraction Phonocardiography (DSP) applied to the detection and characterization of heart murmurs.

Mohammad Ali Akbari, Kamran Hassani, John D Doyle, Mahdi Navidbakhsh, Maryam Sangargir, Kourosh Bajelani, Zahra Sadat Ahmadi

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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 21 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Mohammad Ali AkbariDepartment of Biomechanics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Kamran Hassani
John D Doyle
Mahdi Navidbakhsh
Maryam Sangargir
Kourosh Bajelani
Zahra Sadat Ahmadi
Islamic Azad University, Science and Research Branch · IRIran University of Science and Technology · IRCleveland Clinic Lerner College of Medicine · USTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the cardiac cycle, the heart normally produces repeatable physiological sounds. However, under pathologic conditions, such as with heart valve stenosis or a ventricular septal defect, blood flow turbulence leads to the production of additional sounds, called murmurs. Murmurs are random in nature, while the underlying heart sounds are not (being deterministic). INNOVATION: We show that a new analytical technique, which we call Digital Subtraction Phonocardiography (DSP), can be used to separate the random murmur component of the phonocardiogram from the underlying deterministic heart sounds.

methodsWe digitally recorded the phonocardiogram from the anterior chest wall in 60 infants and adults using a high-speed USB interface and the program Gold Wave http://www.goldwave.com. The recordings included individuals with cardiac structural disease as well as recordings from normal individuals and from individuals with innocent heart murmurs. Digital Subtraction Analysis of the signal was performed using a custom computer program called Murmurgram. In essence, this program subtracts the recorded sound from two adjacent cardiac cycles to produce a difference signal, herein called a "murmurgram". Other software used included Spectrogram (Version 16), GoldWave (Version 5.55) as well as custom MATLAB code.

resultsOur preliminary data is presented as a series of eight cases. These cases show how advanced signal processing techniques can be used to separate heart sounds from murmurs. Note that these results are preliminary in that normal ranges for obtained test results have not yet been established.

conclusionsCardiac murmurs can be separated from underlying deterministic heart sounds using DSP. DSP has the potential to become a reliable and economical new diagnostic approach to screening for structural heart disease. However, DSP must be further evaluated in a large series of patients with well-characterized pathology to determine its clinical potential.

Indexed as

Subtraction TechniqueAdolescentAdultAortic Valve StenosisCase-Control StudiesChildChild, PreschoolFemaleHeart MurmursHumansInfantMaleMitral Valve InsufficiencyPhonocardiographyYoung Adult

Identifiers

PMID22185298
PMCPMC3258229
OpenAlexW2167119087

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.