| Literature DB >> 23273774 |
Chengyu Liu1, Ke Li, Lina Zhao, Feng Liu, Dingchang Zheng, Changchun Liu, Shutang Liu.
Abstract
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.Entities:
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Year: 2012 PMID： 23273774 DOI： 10.1016/j.compbiomed.2012.11.005
Source DB: PubMed Journal: Comput Biol Med ISSN： 0010-4825 Impact factor: 4.589