Document Detail


Computer-based detection and analysis of heart sound and murmur.
MedLine Citation:
PMID:  16060534     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To develop a digital algorithm that detects first and second heart sounds, defines the systole and diastole, and characterises the systolic murmur. Heart sounds were recorded in 300 children with a cardiac murmur, using an electronic stethoscope. A Digital algorithm was developed for detection of first and second heart sounds. R-waves and T-waves in the electrocardiography were used as references for detection. The sound signal analysis was carried out using the short-time Fourier transform. The first heart sound detection rate, with reference to the R-wave, was 100% within 0.05-0.2R-R interval. The second heart sound detection rate between the end of the T-wave and the 0.6R-R interval was 97%. The systolic and diastolic phases of the cardiac cycle could be identified. Because of the overlap between heart sounds and murmur a systolic segment between the first and second heart sounds (20-70%) was selected for murmur analysis. The maximum intensity of the systolic murmur, its average frequency, and the mean spectral power were quantified. The frequency at the point with the highest sound intensity in the spectrum and its time from the first heart sound, the highest frequency, and frequency range were also determined. This method will serve as the foundation for computer-based detection of heart sounds and the characterisation of cardiac murmurs.
Authors:
M El-Segaier; O Lilja; S Lukkarinen; L Sörnmo; R Sepponen; E Pesonen
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Publication Detail:
Type:  Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Annals of biomedical engineering     Volume:  33     ISSN:  0090-6964     ISO Abbreviation:  Ann Biomed Eng     Publication Date:  2005 Jul 
Date Detail:
Created Date:  2005-08-02     Completed Date:  2005-09-29     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0361512     Medline TA:  Ann Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  937-42     Citation Subset:  IM    
Affiliation:
Department of Paediatrics, Division of Paediatric Cardiology, Lund University Hospital, Sweden. milad.el-segaier@skane.se
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Algorithms*
Child
Child, Preschool
Echocardiography / methods
Female
Heart Murmurs*
Humans
Infant
Male
Phonocardiography / methods
Signal Processing, Computer-Assisted*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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