Application of empirical mode decomposition to cardiorespiratory synchronization

Ming Chya Wu, Chin Kun Hu

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


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
Number of pages15
StatePublished - 2009

Publication series

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


  • Cardiorespiratory synchrogram
  • Empirical mode decomposition
  • Intrinsic mode functions


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