Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34088
Title: Cross-fuzzy entropy : a new method to test pattern synchrony of bivariate time series
Authors: Xie, HB
Zheng, YP 
Guo, JY
Chen, X
Keywords: Biomedical signals
Cross-fuzzy entropy
Fuzzy sets
Pattern synchrony
Issue Date: 2010
Publisher: Elsevier
Source: Information sciences, 2010, v. 180, no. 9, p. 1715-1724 How to cite?
Journal: Information sciences 
Abstract: A new method, namely cross-fuzzy entropy (C-FuzzyEn) analysis, that can enable the measurement of the synchrony or similarity of patterns between two distinct signals, is presented in this study. With the inclusion of fuzzy sets, the similarity of vectors is fuzzily defined in C-FuzzyEn based on the exponential function and their shapes, rather than on the Heaviside function used in the conventional cross sample entropy (C-SampEn). Tests on simulated data sets and real EEG signals showed that C-FuzzyEn was superior to C-SampEn in several aspects, including giving the entropy definition in the case of small parameters, better relative consistency, and less dependence on record length. The proposed C-FuzzyEn was then applied for the analysis of simultaneously recorded electromyography (EMG) and mechanomyography (MMG) signals during sustained isometric contraction for monitoring local muscle fatigue. The results showed that the C-FuzzyEn of EMG-MMG signals decreased significantly during the development of muscle fatigue. The C-FuzzyEn showed a similar trend with the mean frequency (MNF) of EMG, the commonly used muscle fatigue indicator. However, C-FuzzyEn of EMG-MMG demonstrated a better robustness to the length of the analysis window in comparison with the MNF of EMG. The results suggested that the proposed C-FuzzyEn of EMG-MMG may potentially become a new reliable method for muscle fatigue assessment. It can also be applied to other bivariate signals extracted from complex systems with short data lengths in noisy backgrounds.
URI: http://hdl.handle.net/10397/34088
ISSN: 0020-0255
EISSN: 1872-6291
DOI: 10.1016/j.ins.2010.01.004
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

25
Last Week
0
Last month
1
Citations as of Sep 15, 2017

WEB OF SCIENCETM
Citations

22
Last Week
0
Last month
Citations as of Sep 22, 2017

Page view(s)

42
Last Week
0
Last month
Checked on Sep 25, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.