Measuring synchronization in coupled simulation and coupled cardiovascular time series: A comparison of different cross entropy measures.

•A new cross entropy measure, named cross fuzzy measure entropy (C-FuzzyMEn) was proposed to detect the synchronization of bivariate time series.•Its performances were tested using both coupled simulation models and clinical cardiovascular coupled signals, and were also compared with two existing cross entropy measures: cross sample entropy (C-SampEn) and cross fuzzy entropy (C-FuzzyEn).•Results showed that compared with C-SampEn, C-FuzzyEn and C-FuzzyMEn had better statistical stability and compared with C-FuzzyEn, C-FuzzyMEn had better discrimination ability.