Application of Empirical Mode Decomposition to Cardiorespiratory Synchronization

  • Ming-Chya Wu
  • Chin-Kun Hu
Part of the Understanding Complex Systems book series (UCS)


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 respiratory 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.


Empirical mode decomposition Intrinsic mode functions Cardiorespiratory synchrogram 


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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • Ming-Chya Wu
    • 1
  • Chin-Kun Hu
  1. 1.Research Center for Adaptive Data AnalysisNational Central UniversityTaiwan

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