Analysis of heart rate variability using fuzzy measure entropy

Chengyu Liu, Ke Li, Lina Zhao, Feng Liu, Dingchang Zheng, Changchun Liu, Shutang Liu

Research output: Contribution to journalArticlepeer-review

124 Citations (Scopus)


This paper proposed a new entropy measure, Fuzzy Measure Entropy (FuzzyMEn), for the analysis of heart rate variability (HRV) signals. FuzzyMEn was calculated based on the fuzzy set theory and improved the poor statistical stability in the approximate entropy (ApEn) and sample entropy (SampEn). The simulation results also demonstrated that the FuzzyMEn had better algorithm discrimination ability when compared with the recently published fuzzy entropy (FuzzyEn), The validity of FuzzyMEn was tested for clinical HRV analysis on 120 subjects (60 heart failure and 60 healthy control subjects). It is concluded that FuzzyMEn could be considered as a valid and reliable method for a clinical HRV application.
Original languageEnglish
Pages (from-to)100-108
Number of pages8
JournalComputers in Biology and Medicine
Issue number2
Early online date27 Dec 2012
Publication statusPublished - 1 Feb 2013
Externally publishedYes


  • Fuzzy measure entropy
  • Heart rate variability
  • Entropy measure
  • Electrocardiogram
  • RR sequence
  • Fuzzy entropy


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