Application of empirical mode decomposition to cardiorespiratory synchronization

Ming Chya Wu, Chin Kun Hu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

A scheme based on the empirical mode decomposition (EMD) and synchrogram introduced by Wu and Hu [Phys. Rev. E 74, 051917 (2006)] to study cardiorespiratory synchronization is reviewed. In the scheme, an experimental respirat ory signal is decomposed into a set of intrinsic mode functions (IMFs), and one of these IMFs is selected as a respiratory rhythm to construct the cardiorespiratory synchrogram incorporating with heartbeat data. The analysis of 20 data sets from ten young (21-34 years old) and ten elderly (68-81 years old) rigorously screened healthy subjects shows that regularity of respiratory signals plays a dominant role in cardiorespiratory synchronization.

Original languageEnglish
Title of host publicationComplex Dynamics in Physiological Systems
Subtitle of host publicationFrom Heart to Brain
EditorsSyamal Dana, Prodyot Roy, Jurgen Kurths
Pages167-181
Number of pages15
DOIs
StatePublished - 2009

Publication series

NameUnderstanding Complex Systems
Volume2009
ISSN (Print)1860-0832
ISSN (Electronic)1860-0840

Keywords

  • Cardiorespiratory synchrogram
  • Empirical mode decomposition
  • Intrinsic mode functions

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