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Sign series entropy analysis of short-term heart rate variability

  • Articles/Biophysics
  • Published:
Chinese Science Bulletin

Abstract

Complexity and nonlinearity approaches can be used to study the temporal and structural order in heart rate variability (HRV) signal, which is helpful for understanding the underlying rule and physiological essence of cardiovascular regulation. For clinical applications, methods suitable for short-term HRV analysis are more valuable. In this paper, sign series entropy analysis (SSEA) is proposed to characterize the feature of direction variation of HRV. The results show that SSEA method can detect sensitively physiological and pathological changes from short-term HRV signals, and the method also shows its robustness to nonstationarity and noise. Thus, it is suggested as an efficient way for the analysis of clinical HRV and other complex physiological signals.

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Authors and Affiliations

  1. Key Laboratory of Modern Acoustics, Institute for Biomedical Electronic Engineering, Department of Electronic Science and Engineering, Nanjing University, Nanjing, 210093, China

    ChunHua Bian, JunFeng Si, XuHui Wu & XinBao Ning

  2. College of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    QianLi Ma

  3. The Affiliated Drumtower Hospital of Nanjing University Medical School, Nanjing, 210008, China

    Jun Shao & DongJin Wang

Authors
  1. ChunHua Bian
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  2. QianLi Ma
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  3. JunFeng Si
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  4. XuHui Wu
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  5. Jun Shao
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  6. XinBao Ning
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  7. DongJin Wang
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Corresponding authors

Correspondence to ChunHua Bian or QianLi Ma.

Additional information

Supported by the National Natural Science Foundation of China (Grant Nos. 60501003, 60701002) and Colleges Oriented Provincial Natural Science Research Plan of Jiangsu Province (Grant No. 06KJD510138)

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Bian, C., Ma, Q., Si, J. et al. Sign series entropy analysis of short-term heart rate variability. Chin. Sci. Bull. 54, 4610–4615 (2009). https://doi.org/10.1007/s11434-009-0398-6

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  • DOI: https://doi.org/10.1007/s11434-009-0398-6

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