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.
authors.affiliation: Institute of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan 250010, PR China. bestlcy@sdu.edu.cn
authors.forename: Chengyu
authors.initials: C
authors.lastname: Liu
authors.forename: Ke
authors.initials: K
authors.lastname: Li
authors.forename: Lina
authors.initials: L
authors.lastname: Zhao
authors.forename: Feng
authors.initials: F
authors.lastname: Liu
authors.forename: Dingchang
authors.initials: D
authors.lastname: Zheng
authors.forename: Changchun
authors.initials: C
authors.lastname: Liu
authors.forename: Shutang
authors.initials: S
authors.lastname: Liu
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D000704:Analysis of Variance; D003198:Computer Simulation; D016208:Databases, Factual; D004562:Electrocardiography / Q000379:methods*; D019277:Entropy; D005260:Female; D017143:Fuzzy Logic; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D015203:Reproducibility of Results; D018709:Statistics, Nonparametric