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Imaging of Heart Acoustic Based on the Sub-Space Methods Using a Microphone Array Publisher Pubmed



Moghaddasi H1 ; Almasganj F1 ; Zoroufian A2
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Authors Affiliations
  1. 1. Biomedical Engineering Department, Amirkabir University of Technology, Tehran, Iran
  2. 2. Department of Cardiology, Tehran Heart Center, Tehran University of Medical Science, Tehran, Iran

Source: Computer Methods and Programs in Biomedicine Published:2017


Abstract

Background and objectives Heart disease is one of the leading causes of death around the world. Phonocardiogram (PCG) is an important bio-signal which represents the acoustic activity of heart, typically without any spatiotemporal information of the involved acoustic sources. The aim of this study is to analyze the PCG by employing a microphone array by which the heart internal sound sources could be localized, too. Method In this paper, it is intended to propose a modality by which the locations of the active sources in the heart could also be investigated, during a cardiac cycle. In this way, a microphone array with six microphones is employed as the recording set up to be put on the human chest. In the following, the Group Delay MUSIC algorithm which is a sub-space based localization method is used to estimate the location of the heart sources in different phases of the PCG. Results We achieved to 0.14 cm mean error for the sources of first heart sound (S1) simulator and 0.21 cm mean error for the sources of second heart sound (S2) simulator with Group Delay MUSIC algorithm. The acoustical diagrams created for human subjects show distinct patterns in various phases of the cardiac cycles such as the first and second heart sounds. Moreover, the evaluated source locations for the heart valves are matched with the ones that are obtained via the 4-dimensional (4D) echocardiography applied, to a real human case. Conclusions Imaging of heart acoustic map presents a new outlook to indicate the acoustic properties of cardiovascular system and disorders of valves and thereby, in the future, could be used as a new diagnostic tool. © 2017
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