Denoising and characterization of heart sound signals using optimal intrinsic mode functions

Daoud Boutana, M. Benidir, B. Barkat

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

Abstract

Empirical mode decomposition (EMD) allows decomposing an observed multicomponent signal into a set of monocomponent signals, called Intrinsic Mode Functions (IMFs). The aim of this paper is to characterize some heart sound (HS) signals embedded in noise using the EMD approach. In particular, the proposed technique automatically selects the most appropriate IMFs achieving the denoising based on EMD and Euclidean measure. Synthetic and real-life signals are used in the various examples to validate, and demonstrate the effectiveness, of the proposed method. Furthermore, this technique is compared to the commonly known approach based on the noise model.

Original languageBritish English
Title of host publicationProceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11
DOIs
StatePublished - 2011
Event4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11 - Barcelona, Spain
Duration: 26 Oct 201129 Oct 2011

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11
Country/TerritorySpain
CityBarcelona
Period26/10/1129/10/11

Keywords

  • biomedical signal processing
  • denoising
  • empirical mode decompossition
  • Euclidean distance
  • first heart sound signal
  • second heart sound signal

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