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Cited by 398

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Magnitude and Sign Correlations in Heartbeat Fluctuations

Open access
Ashkenazy, Yosef, Ivanov, Plamen Ch., Havlin, Shlomo, Peng, Chung-K., Goldberger, Ary L., Stanley, H. Eugene·2001·Physical Review Letters

Abstract

We propose an approach for analyzing signals with long-range correlations by decomposing the signal increment series into magnitude and sign series and analyzing their scaling properties. We show that signals with identical long-range correlations can exhibit different time organization for the magnitude and sign. We find that the magnitude series relates to the nonlinear properties of the original time series, while the sign series relates to the linear properties. We apply our approach to the heartbeat interval series and find that the magnitude series is long-range correlated, while the sign series is anticorrelated and that both magnitude and sign series may have clinical applications.

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Crossref · 10.1103/physrevlett.86.1900

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Metadata

Authors
Ashkenazy, Y., Ivanov, P. C., Havlin, S., Peng, C.-K., Goldberger, A. L., & Stanley, H. E.
Venue
Physical Review Letters
Published
2001-02-26
Volume
86
Issue
9
Pages
1900-1903
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W1969072025
Cited by
398
References
9
FWCI
51.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Magnitude and Sign Correlations in Heartbeat Fluctuations. https://app.cochat.ai/papers/10.1103/physrevlett.86.1900
The paper
Ashkenazy, Y., Ivanov, P. C., Havlin, S., Peng, C.-K., Goldberger, A. L., & Stanley, H. E. (2001). Magnitude and Sign Correlations in Heartbeat Fluctuations. Physical Review Letters. https://doi.org/10.1103/physrevlett.86.1900

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.