On the selection of intrinsic mode function in EMD method: Application on heart sound signal

Daoud Boutana, Messaoud Benidir, Braham Barkat

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

25 Scopus citations

Abstract

Empirical mode decomposition (EMD) allows decomposing an observed multicomponent signal into a set of monocomponent signals called Intrinsic Mode Functions (IMFs). EMD provides a large number of IMFs and it is important to select the fundamental IMFs and eliminate the redundant ones. This paper proposes a new criterion, based simultaneously on the Minkowski distance and the Jensen Rényi divergence of order α (α-JRD), to automatically select the appropriate IMFs in a set of the extracted ones. Examples, using synthetic and real-life heart sound signals, are presented in order to validate the performance of the proposed technique.

Original languageBritish English
Title of host publication2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010
DOIs
StatePublished - 2010
Event2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010 - Roma, Italy
Duration: 7 Nov 201010 Nov 2010

Publication series

Name2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010

Conference

Conference2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010
Country/TerritoryItaly
CityRoma
Period7/11/1010/11/10

Keywords

  • Empirical mode decomposition
  • Intrinsic mode function
  • Jensen Rényi divergence Minkowski distance
  • Redundant IMFs

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