DocumentCode :
3538310
Title :
Separating the random murmur component of the phonocardiogram from the underlying deterministic heart sounds applied to Digital Subtraction Phonocardiography (DSP)
Author :
Akbari, M.A. ; Hassani, K. ; Doyle, John D. ; Navidbakhsh, M. ; Sangargir, M. ; Bajelani, K. ; Foroughi, M.
Author_Institution :
Dept. of Biomech., Islamic Azad Univ., Tehran, Iran
fYear :
2011
fDate :
14-16 Dec. 2011
Firstpage :
299
Lastpage :
303
Abstract :
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. We digitally recorded the phonocardiogram from the anterior chest wall in 52 infants and adults using a high-speed USB interface and. 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. Our preliminary data is presented as a series of five 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. Cardiac 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.
Keywords :
diseases; mathematics computing; medical signal processing; paediatrics; phonocardiography; DSP; anterior chest; custom MATLAB code; custom computer program; deterministic heart sounds; digital subtraction phonocardiography analysis; goldwave; high-speed USB interface; infants; random murmur component; signal processing; structural heart disease; Biomedical engineering; Digital signal processing; Educational institutions; Heart; Image color analysis; Reliability; Spectrogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering (ICBME), 2011 18th Iranian Conference of
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-1004-8
Type :
conf
DOI :
10.1109/ICBME.2011.6168577
Filename :
6168577
Link To Document :
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