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Analysis of heart rate variability using fuzzy measure entropy

Lookup NU author(s): Dr Chengyu Liu, Dr Ding Chang Zheng


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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. (C) 2012 Elsevier Ltd. All rights reserved.

Publication metadata

Author(s): Liu CY, Li K, Zhao LN, Liu F, Zheng DC, Liu CC, Liu ST

Publication type: Article

Publication status: Published

Journal: Computers in Biology and Medicine

Year: 2013

Volume: 43

Issue: 2

Pages: 100-108

Print publication date: 01/02/2013

ISSN (print): 0010-4825

ISSN (electronic): 1879-0534

Publisher: Pergamon


DOI: 10.1016/j.compbiomed.2012.11.005


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Funder referenceFunder name
10971120National Natural Science Foundation of China
61201049National Natural Science Foundation of China
20110491593China Postdoctoral Science Foundation