Detection of Mitral Valve Diseases by Bicoherence Analysis of Heart Sound Signals

O. Akgun; H.S. Varol

doi:10.3964/j.issn.1000-0593(2017)10-3270-04

Spectroscopy and Spectral Analysis, Volume. 37, Issue 10, 3270(2017)

Detection of Mitral Valve Diseases by Bicoherence Analysis of Heart Sound Signals

O. Akgun^1、* and H.S. Varol²

Author Affiliations

¹Department of Computer Engineering, Marmara University, 34722 Istanbul, Turkey

²Department of Electric and Electronic Engineering, Dogus University, 34722 Istanbul, Turkey

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References(8)

[1] [1] Dominik J, Zacek P. Heart Valve Surgery. Berlin Heidelberg: Springer, 2010.

[2] [2] Keene B, Smith F, Tilley L, et al. Rapid Interpretation of Heart and Lung Sounds. Burlington: Saunders, 2014.

[3] [3] Abbas K, Abbas R B. Phonocardiography Signal Processing. Aechen Germany: Morgan & Claypool Publishers, 2009.

[4] [4] Littmann Electronic Stethoscope Model 4100, This is available on line at , 2008.

[5] [5] Her H, Chiu H W. Using Time-Frequency Features to Recognize Abnormal Heart Sounds. Computing in Cardiology Conference IEEE, 2016. 1145.

[6] [6] Teo S K, Yang B, Feng L, et al. Computing in Cardiology Conference (CinC), 2016, 79(3): 1169.

[7] [7] Zhang L, Wang L. Heart Sound Enhancement Based on Improved Spectral Subtraction. 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)), 2015, 1: 546.

[8] [8] Altunkaya S, Kara S, Grmüs N, et al. Analysis of Spectral Features of Mechanical Heart Valve Sounds after Aortic and Mitral Valve Replacement. 15th National Biomedical Engineering Meeting, 2010. 1.

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O. Akgun, H.S. Varol. Detection of Mitral Valve Diseases by Bicoherence Analysis of Heart Sound Signals[J]. Spectroscopy and Spectral Analysis, 2017, 37(10): 3270

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Paper Information

Received: Nov. 12, 2016

Accepted: --

Published Online: Dec. 25, 2017

The Author Email: Akgun O. (oakgun@marmara.edu.trIntroduction)

DOI:10.3964/j.issn.1000-0593(2017)10-3270-04

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