Separating the random murmur component of the phonocardiogram from the underlying deterministic heart sounds Applied to Digital Subtraction Phonocardiography (DSP)

  • سال انتشار: 1390
  • محل انتشار: هجدهمین کنفرانس مهندسی پزشکی ایران
  • کد COI اختصاصی: ICBME18_112
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 981
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نویسندگان

M.A Akbari

Department of Biomechanics, Science and Research Branch, Islamic Azad University, Tehran. Iran

K Hassani

Department of Biomechanics, Science and Research Branch, Islamic Azad University, Tehran. Iran

John D Doyle

Cleveland Clinic Lerner College of Medicine of Case Western Reserve University Staff Anesthesiologist, Department of General Anesthesiology

M Nvidbkhsh

Mechanical Engineering department, Iran University of Science and Technology, Tehran. Iran

چکیده

We show that a new analytical technique, which we call Digital Subtraction Phonocardiography (DSP), can beused to separate the random murmur component of the phonocardiogram from the underlying deterministic heartsounds.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 wellcharacterized pathology to determine its clinical potential.

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