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Denoising of Heart Sound Signals Using Discrete Wavelet Transform

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Abstract

Signal denoising remains to be one of the main problems in the field of signal processing. Various signal denoising algorithms using wavelet transforms have been introduced. Wavelets show superior signal denoising performance due to their properties such as multiresolution and windowing. This study focuses on denoising of phonocardiogram (PCG) signals using different families of discrete wavelet transforms, thresholding types and techniques, and signal decomposition levels. In particular, we discuss the effect of the chosen wavelet function and wavelet decomposition level on the efficiency of the denoising algorithm. Denoised signals are compared with the original PCG signal to determine the most suitable parameters (wavelet family, level of decomposition, and thresholding type) for the denoising process. The performance of our algorithm is evaluated using the signal-to-noise ratio, percentage root-mean-square difference, and root-mean-square error. The results show that the level of decomposition and thresholding type are the most important parameters affecting the efficiency of the denoising algorithm. Finally, we compare our results with those from other studies to test and optimize the performance of the proposed algorithm.

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References

  1. D. Abdelgham, F.B. Reguig, Short-time Fourier transform analysis of the phonocardiogram signal, in The 7th IEEE International Conference on Electronics, Circuits, and Systems ,2000, ICECS (2000), vol. 2 (2000)

  2. M. Abhishek, G.R. Sinha, Denoising of PCG signal by using wavelet transforms. Adv. Comput. Res. 4(1), 46–49 (2012)

    Google Scholar 

  3. M. Abhishek et al., Comparison of wavelet transforms for denoising and analysis of PCG signal. I Manag. J. Commun. Eng. Syst. 1(1), 48–52 (2011)

  4. P. Anindya, E.A. Wan, A.T. Nelson, Noise reduction for heart sounds using a modified minimum-mean squared error estimator with ECG gating, in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS’06, (2006)

  5. F. Bai et al. Studying on denoising algorithm of heart sound signal based on the generalized mathematical morphology, in Signal Processing (ICSP), IEEE 10th International Conference, (2010)

  6. C. De-Greiff et al., Signal de-noising in magnetic resonance spectroscopy using wavelet transforms. Concepts Magn. Reson. 14(6), 388–401 (2002)

    Article  Google Scholar 

  7. G. Dawid, G. Redlarski, Wavelet-based denoising method for real phonocardiography signal recorded by mobile devices in noisy environment. Comput. Biol. Med. 52, 119–129 (2014)

    Article  Google Scholar 

  8. O. Duzenli, Classification of Underwater Signals Using Wavelet-Based Decompositions (Naval Postgraduate School Monterey, Monterey, 1998)

    Google Scholar 

  9. A. Effern et al., Nonlinear denoising of transient signals with application to event-related potentials. Phys. D Nonlinear Phenom. 140, 257–266 (2000)

  10. S. Esra, A. Akan, Heart sound reduction in lung sounds by spectrogram, in IFMBE Proceedings,vol. 11, no. 1, pp. 1727–1983 (2005)

  11. J. Feng et al. Heart sound localization from respiratory sound using a robust wavelet based approach, in IEEE International Conference on Multimedia and Expo, pp. 381–384, (2008)

  12. L. Feng, Y. Wang, Y. Wang, Research and implementation of heart sound denoising. Phys. Procedia 25, 777–785 (2012)

    Article  Google Scholar 

  13. http://peterjbentley.com/heartchallenge/. Last accessed 30 Apr 2015

  14. http://worldlifeexpectancy.com/egypt-coronary-heart-disease. Last Accessed Apr 2016

  15. http://who.int/mediacentre/factsheets/fs317/en/. Last Accessed Apr 2016

  16. G. Jianbo et al., Denoising nonlinear time series by adaptive filtering and wavelet shrinkage: a comparison. IEEE Signal Process. Lett. 17(3), 237–240 (2010)

    Article  Google Scholar 

  17. L. Jun et al. Comparison between short time Fourier and wavelet transform for feature extraction of heart sound, in TENCON 99. Proceedings of the IEEE Region 10 Conference, vol. 2, (1999)

  18. M. Kivanc, I. Kozintsev, K. Ramchandran, P. Moulin, Low-complexity image denoising based on statistical modeling of wavelet coefficients. IEEE Signal Process. Lett. 6(12), 300–303 (1999)

    Article  Google Scholar 

  19. V. Luna, E.E. Adrian, De-noising Audio Signals Using MATLAB Wavelets Toolbox (INTECH Open Access Publisher, Rijeka, 2011)

    Google Scholar 

  20. K. Marcin et al. Discrete wavelet transform-derived features for digital image texture analysis, in International Conference on Signals and Electronic Systems, pp. 99–104, (2001)

  21. S. Mallat, A Wavelet Tour of Signal Processing (Academic press, London, 1999)

    MATH  Google Scholar 

  22. S.R. Messer, J. Agzarian, D. Abbott, Optimal wavelet denoising for phonocardiograms. Microelectro. J. 32, 931–941 (2001)

    Article  Google Scholar 

  23. U. Michael, Wavelets, statistics, and biomedical applications, in Statistical Signal and Array Processing, Proceedings, 8th IEEE Signal Processing Workshop, (1996)

  24. M.S. Obaidat, Phonocardiogram signal analysis: techniques and performance comparison. J. Med. Eng. Technol. 17(6), 221–227 (1993)

    Article  Google Scholar 

  25. R. Olivier, M. Vetterli, Wavelets and signal processing, in IEEE signal processing magazine, pp. 14–38 (1991)

  26. S. Poornachandra, Wavelet-based denoising using sub band dependent threshold for ECG signals. Digit. Signal Process. 18(1), 49–55 (2008)

    Article  Google Scholar 

  27. V. Prasad, P. Siddaiah, B. Prabhakara Rao, A new wavelet based method for denoising of biological signals. Int. J. Comput. Sci. Netw. Secur. 8(1), 238–244 (2008)

    Google Scholar 

  28. T.R. Reed, N.E. Reed, P. Fritzson, Heart sound analysis for symptom detection and computer-aided diagnosis. Simul. Model. Pract. Theory 12, 129–146 (2003)

    Article  Google Scholar 

  29. A. Samit, P. Kumar, G. Saha, A robust heart sound segmentation algorithm for commonly occurring heart valve diseases. J. Med. Eng. Technol. 32(6), 456–465 (2008)

    Article  Google Scholar 

  30. M. Salvatore, L.Z. Nieman, Cardiac auscultatory skills of internal medicine and family practice trainees: a comparison of diagnostic proficiency. Jama 278(9), 717–722 (1997)

    Article  Google Scholar 

  31. Y. Song et al., Passive acoustic maternal abdominal fetal heart rate monitoring using wavelet transform, Computers in Cardiology (IEEE, New York, 2006)

    Google Scholar 

  32. P.S. Vikhe, S.T. Hamde, N.S. Nehe, Wavelet transform based abnormality analysis of heart sound, in International Conference on Advances in Computing, Control, and Telecommunication Technologies, IEEE, (2009)

  33. X. Zhao, C. Gui-tao, A novel de-noising method for heart sound signal using improved thresholding function in wavelet domain. Biomed. Inf. Eng. 65–68 (2009). doi:10.1109/FBIE.2009.5405795

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Authors and Affiliations

  1. Egyptian E-Learning University (EELU), 33 El-Mesaha Street, Eldokki, El-Giza, 11261, Egypt

    Mohammed Nabih Ali & EL-Sayed A. El-Dahshan

  2. Department of Physics, Faculty of Sciences, Ain Shams University, Abbasia, Cairo, 11566, Egypt

    EL-Sayed A. El-Dahshan & Ashraf H. Yahia

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  1. Mohammed Nabih Ali
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  2. EL-Sayed A. El-Dahshan
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  3. Ashraf H. Yahia
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Correspondence to Mohammed Nabih Ali.

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Ali, M.N., El-Dahshan, ES.A. & Yahia, A.H. Denoising of Heart Sound Signals Using Discrete Wavelet Transform. Circuits Syst Signal Process 36, 4482–4497 (2017). https://doi.org/10.1007/s00034-017-0524-7

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  • DOI: https://doi.org/10.1007/s00034-017-0524-7

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