Ensemble EMD based Time-Frequency Analysis of Continuous Adventitious Signal Processing

  • Authors

    • B. B Shankar
    • D. Jayadevappa
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.10.26783
  • Adventitious, EMD, Hilbert spectral analysis, Wheezing, Crackle.

  • Abstract

    The importance of lung sound analyses is increasing day by day very rapidly. In this paper, we present a new method for analysis of two classes of lung signals namely wheezes and crackles. The procedure used in this article is based on improved Empirical Mode Decomposition (EMD) called Ensemble Empirical Mode Decomposition (EEMD) to analyze and compare continuous and discontinuous adventitious sounds with EMD. These two proposed procedures decompose the lung signals into a set of instantaneous frequency components. Function (IMF). The continuous and discontinuous adventitious sounds are present in an asthmatic patient, produces a non-stationary and nonlinear signal pattern. The empirical mode decomposition (EMD) decomposes such characteristic signals. The instantaneous frequency and spectral analysis related to dual techniques specified above are utilized by IMF to investigate and present the outcome in the time-frequency distribution to investigate the qualities of inbuilt properties of lung sound waves. The Hilbert marginal spectrum has been used to represent total amplitude and energy contribution from every frequency value. Finally, the resultant EEMD analysis is better for wheezes that solves mode mixing issues and improvisation is seen over the EMD method.

     

     

     

  • References

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      Shankar, B. B., & Jayadevappa, D. (2017). EMD based Hilbert energy spectrum analysis of adventitious lung wave signals. International Journal of Engineering & Technology, 7(1-5), 122. doi:10.14419/ijet.v7i1.5.9133

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  • How to Cite

    B Shankar, B., & Jayadevappa, D. (2018). Ensemble EMD based Time-Frequency Analysis of Continuous Adventitious Signal Processing. International Journal of Engineering & Technology, 7(4.10), 896-899. https://doi.org/10.14419/ijet.v7i4.10.26783

    Received date: 2019-01-30

    Accepted date: 2019-01-30

    Published date: 2018-10-02