Analysis of heart rate variability using fuzzy measure entropy

Liu, Chengyu, Li, Ke, Zhao, Lina, Liu, Feng, Zheng, Dingchang, Liu, Changchun and Liu, Shutang (2013) Analysis of heart rate variability using fuzzy measure entropy. Computers in Biology and Medicine, 43 2: 100-108. doi:10.1016/j.compbiomed.2012.11.005


Author Liu, Chengyu
Li, Ke
Zhao, Lina
Liu, Feng
Zheng, Dingchang
Liu, Changchun
Liu, Shutang
Title Analysis of heart rate variability using fuzzy measure entropy
Journal name Computers in Biology and Medicine   Check publisher's open access policy
ISSN 0010-4825
1879-0534
Publication date 2013-02
Sub-type Article (original research)
DOI 10.1016/j.compbiomed.2012.11.005
Volume 43
Issue 2
Start page 100
End page 108
Total pages 9
Place of publication Oxford, United Kingdom
Publisher Pergamon
Collection year 2014
Language eng
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.
Keyword Fuzzy measure entropy
Heart rate variability
Entropy measure
Electrocardiogram
RR sequence
Fuzzy entropy
Threshold-Value-R
Approximate Entropy
Rate Dynamics
Regularity
Complexity
Irregularity
Failure
Signal
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
 
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