Phys. Rev. Lett. 90, 108103 (2003) [4 pages]Linguistic Analysis of the Human Heartbeat Using Frequency and Rank Order StatisticsReceived 9 May 2002; published 13 March 2003 Complex physiologic signals may carry unique dynamical signatures that are related to their underlying mechanisms. We present a method based on rank order statistics of symbolic sequences to investigate the profile of different types of physiologic dynamics. We apply this method to heart rate fluctuations, the output of a central physiologic control system. The method robustly discriminates patterns generated from healthy and pathologic states, as well as aging. Furthermore, we observe increased randomness in the heartbeat time series with physiologic aging and pathologic states and also uncover nonrandom patterns in the ventricular response to atrial fibrillation. © 2003 The American Physical Society URL:
http://link.aps.org/doi/10.1103/PhysRevLett.90.108103
DOI:
10.1103/PhysRevLett.90.108103
PACS:
87.19.Hh, 05.40.–a, 05.45.Tp, 89.75.Kd
See AlsoReply: Alexander Kraskov, Walter Nadler, Harald Stögbauer, and Peter Grassberger, Comment on “Linguistic Analysis of the Human Heartbeat Using Frequency and Rank Order Statistics”, Phys. Rev. Lett. 92, 109801 (2004). Reply: Albert C.-C. Yang, Shu-Shya Hseu, Huey-Wen Yien, Ary L. Goldberger, and C.-K. Peng, Yang et al. Reply:, Phys. Rev. Lett. 92, 109802 (2004). |
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