Delta-fuzzy similarity entropy to discriminate healthy from sick fetus

This paper deals with the discrimination between suffering and healthy fetuses, by means of a delta-fuzzy-similarity entropy. This new descriptor of complexity is based on the derivative of the fuzzy-similarity entropy. It was tested on fetal heart rate time-series and compared to the approximated and similarity entropies. The main outcome was the possibility to improve 10% the specificity and the sensitivity as compared to approximate entropy. This very good performance confirms that the new descriptor can be a valuable alternative as compared to other standard descriptors.

[1]  Hong-Bo Xie,et al.  Measuring time series regularity using nonlinear similarity-based sample entropy , 2008 .

[2]  Maria G. Signorini,et al.  Complexity analysis of the fetal heart rate variability: early identification of severe intrauterine growth-restricted fetuses , 2009, Medical & Biological Engineering & Computing.

[3]  Madalena Costa,et al.  Multiscale entropy analysis of complex physiologic time series. , 2002, Physical review letters.

[4]  B. Pompe,et al.  Permutation entropy: a natural complexity measure for time series. , 2002, Physical review letters.

[5]  I. Voicu,et al.  Multi-scale similarity entropy as a new descriptor to differentiate healthy to suffering foetus , 2012, 2012 IEEE International Conference on Complex Systems (ICCS).

[6]  Wangxin Yu,et al.  Characterization of Surface EMG Signal Based on Fuzzy Entropy , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  S M Pincus,et al.  Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[8]  Sergio Cerutti,et al.  Comparison of entropy-based regularity estimators: application to the fetal heart rate signal for the identification of fetal distress , 2006, IEEE Transactions on Biomedical Engineering.

[9]  J. Richman,et al.  Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.

[10]  Xinbao Ning,et al.  Approximate entropy analysis of short-term HFECG based on wave mode , 2005 .

[11]  Dingchang Zheng,et al.  Analysis of heart rate variability using fuzzy measure entropy , 2013, Comput. Biol. Medicine.