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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.
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
Print publication date: 01/02/2013
ISSN (print): 0010-4825
ISSN (electronic): 1879-0534
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