A comparative study of some wavelet functions in the denoising of phonocardiogram signals

Nayad Kouras, Daoud Boutana, M. Benidir, B. Barkat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Biomedical signal recordings are affected by different kinds of noise that make their interpretation difficult. In this paper, we present a comparative study of some wavelet functions in the denoising of phonocardiogram (PCG) signals. In particular, we consider the Daubechies of order 4, 6, 8, 10 and 15, Coiflets of order 3, 4, 5 and finally Symlets 10 (sym 10). The performance of these wavelets is based on the measurement of the signal-to-noise Ratio (SNR) of the denoised signal as well as the Mean Square Error (MSE) between the original noisy signal and its denoised counterpart. The results indicate that Daubechies of order 10 (db10) outperform other wavelet functions and, consequently, are potential candidates in the characterization of abnormal PCG signal.

Original languageBritish English
Title of host publicationICACTE 2009 - Proceedings of the 2nd International Conference on Advanced Computer Theory and Engineering
Pages25-32
Number of pages8
StatePublished - 2009
Event2nd International Conference on Advanced Computer Theory and Engineering, ICACTE 2009 - Cairo, Egypt
Duration: 25 Sep 200927 Sep 2009

Publication series

NameICACTE 2009 - Proceedings of the 2nd International Conference on Advanced Computer Theory and Engineering
Volume1

Conference

Conference2nd International Conference on Advanced Computer Theory and Engineering, ICACTE 2009
Country/TerritoryEgypt
CityCairo
Period25/09/0927/09/09

Keywords

  • Denoising
  • Phonocardiogram signal
  • Thresholding
  • Wavelet analysis

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