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Classification of physiologic and synthetic heart rate variability series using base-scale entropy

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  • Li, Jin
  • Ning, Xinbao

Abstract

The base-scale entropy method was used as a measure to classify physiologic and synthetic heart rate variability series. This method enables analyzing very short, non-stationary, and noisy data. We used it to analyze short-term heart rate variability series. The results show that our method can effectively detect the complex dissimilarity of physiologic time series in different physiologic/pathologic states. We then applied it to the CinC 2002 test datasets. Using the base-scale entropy, we correctly classified 43 of 46 (93%) time series. In combination with time domain analysis, we correctly classified all time series.

Suggested Citation

  • Li, Jin & Ning, Xinbao, 2007. "Classification of physiologic and synthetic heart rate variability series using base-scale entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 423-428.
    • Handle: RePEc:eee:phsmap:v:384:y:2007:i:2:p:423-428
    DOI: 10.1016/j.physa.2007.02.089
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    References listed on IDEAS

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    1. McClintock, Peter V.E. & Stefanovska, Aneta, 2002. "Noise and determinism in cardiovascular dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 69-76.
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    Cited by:

    1. Yao, Wenpo & Zhang, Yuping & Wang, Jun, 2018. "Quantitative analysis in nonlinear complexity detection of meditative heartbeats," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1060-1068.
    2. Li, Jin & Hu, Jing & Zhang, Yinhong & Zhang, Xiaofeng, 2011. "Dynamical complexity changes during two forms of meditation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2381-2387.
    3. Li, Yu & Wang, Jun & Li, Jin & Liu, Dazhao, 2015. "Effect of extreme data loss on heart rate signals quantified by entropy analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 651-658.

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