Phys. Rev. Lett. 89, 068102 (2002) [4 pages]Multiscale Entropy Analysis of Complex Physiologic Time Series
There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise. © 2002 The American Physical Society URL:
http://link.aps.org/doi/10.1103/PhysRevLett.89.068102
DOI:
10.1103/PhysRevLett.89.068102
PACS:
87.19.Hh, 05.40.Ca, 05.45.Tp
See AlsoReply: Niels Wessel, Alexander Schirdewan, and Jürgen Kurths, Intermittently Decreased Beat-To-Beat Variability in Congestive Heart Failure, Phys. Rev. Lett. 91, 119801 (2003). Reply: Madalena Costa, Ary L. Goldberger, and C.-K. Peng, Costa, Goldberger, and Peng Reply:, Phys. Rev. Lett. 91, 119802 (2003). Reply: Vadim V. Nikulin and Tom Brismar, Comment on “Multiscale Entropy Analysis of Complex Physiologic Time Series”, Phys. Rev. Lett. 92, 089803 (2004). Reply: Madalena Costa, Ary L. Goldberger, and C.-K. Peng, Costa, Goldberger, and Peng Reply:, Phys. Rev. Lett. 92, 089804 (2004). |
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