Empirical mode decomposition and synchrogram approach to cardiorespiratory synchronization

Ming Chya Wu, Chin Kun Hu

研究成果: 雜誌貢獻期刊論文同行評審

29 引文 斯高帕斯(Scopus)


We use the empirical mode decomposition method to decompose experimental respiratory signals into a set of intrinsic mode functions (IMFs), and consider one of these IMFs as a respiratory rhythm. We then use the Hilbert spectral analysis to calculate the instantaneous phase of the IMF. Heartbeat data are finally incorporated to construct the cardiorespiratory synchrogram, which is a visual tool for inspecting synchronization. We perform analysis on 20 data sets collected by the Harvard medical school from ten young (21-34 years old) and ten elderly (68-81 years old) rigorously screened healthy subjects. Our results support the existence of cardiorespiratory synchronization. We also investigate the origin of the cardiorespiratory synchronization by addressing the problem of correlations between regularities of respiratory and cardiac signals. Our analysis shows that regularity of respiratory signals plays a dominant role in the cardiorespiratory synchronization.

期刊Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
出版狀態已出版 - 2006


深入研究「Empirical mode decomposition and synchrogram approach to cardiorespiratory synchronization」主題。共同形成了獨特的指紋。