• Spectroscopy and Spectral Analysis
  • Vol. 37, Issue 10, 3270 (2017)
O. Akgun1、* 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
  • show less
    DOI: 10.3964/j.issn.1000-0593(2017)10-3270-04 Cite this Article
    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 Copy Citation Text show less
    References

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

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

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

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

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

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

    [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] 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.

    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
    Download Citation