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On the Modelling of Phonocardiogram Signals: Laplace Kernel and Cyclostationarity Based Approaches

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Nonstationary Systems: Theory and Applications (WNSTA 2021)

Part of the book series: Applied Condition Monitoring ((ACM,volume 18))

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Abstract

Phonocardiogram is a concept that is used for recording heart sound signals and murmurs. This acoustic recording helps to reveal important information that human ear cannot recognize easily. A phonocardiogram signal, in the healthy case, consists of two fundamental sounds \(s_1\) and \(s_2\) which are derived from the mechanical functioning of the heart. Actually any change, even small, in the heart sounds might indicate heart valve problems, and hence the need of correctly analyzing and characterizing phonocardiogram signals. Recently, the analysis of phonocardiogram signals becomes an interesting field of research. There are several tools that have been studied and presented in the literature review. The majority of these studies are based on time-frequency and partially exploiting the periodic character of phonocardiogram signal due to the heart functioning. The objective of this research is to propose a coherent mathematical model and an analytical framework based on cyclostationarity. This allows the use of cyclostationary tools for the characterization and the analysis of phonocardiogram signals which are analyzed and discussed in details over synthetic and experimental datasets. The simulation shows promising results that can help with the early detection of some heart diseases.

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Authors and Affiliations

  1. STIC Laboratory, Faculty of Sciences, Chouaïb Doukkali University, El Jadida, Morocco

    Abdelouahad Choklati, Anas Had & Khalid Sabri

  2. LASPI, IUT de Roanne, UJM-Saint-Etienne, Université de Lyon, Lyon, France

    Anas Had

Authors
  1. Abdelouahad Choklati
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  2. Anas Had
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  3. Khalid Sabri
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Corresponding author

Correspondence to Abdelouahad Choklati .

Editor information

Editors and Affiliations

  1. National School of Engineers of Sfax, Sfax, Tunisia

    Fakher Chaari

  2. College of Telecommunications and Computer Science, Cracow University of Technology, Cracow, Poland

    Jacek Leskow

  3. Institute of Mining Engineering, Wroclaw University of Technology, Wrocław, Poland

    Agnieszka Wylomanska

  4. Faculty of GeoEngineering, Mining and Geology, Wroclaw University of Technology, Wrocław, Poland

    Radoslaw Zimroz

  5. Centro Direzionale di Napoli, Napoli, Italy

    Antonio Napolitano

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Choklati, A., Had, A., Sabri, K. (2022). On the Modelling of Phonocardiogram Signals: Laplace Kernel and Cyclostationarity Based Approaches. In: Chaari, F., Leskow, J., Wylomanska, A., Zimroz, R., Napolitano, A. (eds) Nonstationary Systems: Theory and Applications. WNSTA 2021. Applied Condition Monitoring, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-030-82110-4_10

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  • DOI: https://doi.org/10.1007/978-3-030-82110-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82191-3

  • Online ISBN: 978-3-030-82110-4

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