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New Algorithm for Assessment of Frequency Duration of Murmurs Using Hilbert-Huang Transform

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Bioinformatics and Biomedical Engineering (IWBBIO 2015)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9043))

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Abstract

This paper presents a new algorithm for automatic assessment of frequency duration of murmurs developed in order to estimate the severity of aortic stenosis. The applied analysis method is based on Hilbert-Huang Transform (HHT). This technique can produce a significant time frequency distribution through Hilbert transform of different Intrinsic Mode Functions (IMF) obtained by the Empirical Mode Decomposition. In this work, the frequency duration of murmurs is computed using the instantaneous mean frequency produced via HHT. The algorithm is tested on 14 cases of heart murmurs with different degrees of severity. Those obtained results are compared with manual measurement through Short Time Fourier Transform (STFT). The obtained results show a very high correlation between the methods with a coefficient of correlation R = 0.93

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Author information

Authors and Affiliations

  1. Department of Physics, Boumerdes University, Algeria

    Tahar Omari

  2. Department of Biomedical Engineering, Tlemcen University, Algeria

    Fethi Bereksi-Reguig

Authors
  1. Tahar Omari
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  2. Fethi Bereksi-Reguig
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Editor information

Editors and Affiliations

  1. Dpto. de Arquitectura y Tecnología de Computadores (ATC)., E.T.S. de Ingenierías en Informática y Telecomunicación. CITIC-UGR, Universidad de Granada, c/ Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Francisco Ortuño

  2. E.T.S. Ingenierías Informática y de Telecomunicación , , Dpto. Arquitectura y Tecnología de Computadores, CITIC-UGR, Universidad de Granada, C Periodista Rafael Gómez Montero, 18071, Granada, Spain

    Ignacio Rojas

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Omari, T., Bereksi-Reguig, F. (2015). New Algorithm for Assessment of Frequency Duration of Murmurs Using Hilbert-Huang Transform. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2015. Lecture Notes in Computer Science(), vol 9043. Springer, Cham. https://doi.org/10.1007/978-3-319-16483-0_33

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  • DOI: https://doi.org/10.1007/978-3-319-16483-0_33

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16482-3

  • Online ISBN: 978-3-319-16483-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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