Paper Info
Title
Analysis of heart rate variability using fuzzy measure entropy.
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.
Year
DOI
Venue
2013
10.1016/j.compbiomed.2012.11.005
Comp. in Bio. and Med.
Keywords
Field
DocType
fuzzy set theory,fuzzy entropy,new entropy measure,fuzzy measure,heart rate variability,sample entropy,approximate entropy,fuzzy measure entropy,clinical hrv analysis,heart failure,clinical hrv application
Pattern recognition,Computer science,Heart rate variability,Fuzzy logic,Fuzzy entropy,Fuzzy set,Artificial intelligence
Journal
Volume
Issue
ISSN
43
2
1879-0534
Citations 
PageRank 
References 
8
0.67
0
Authors
7
Name
Order
Citations
PageRank
Chengyu Liu191.74
Ke Li2474.63
Lina Zhao34311.07
Feng Liu492.39
Dingchang Zheng55416.26
Changchun Liu6403.83
Shutang Liu75111.49