Cascade of nonlinear entropy and statistics to discriminate fetal heart rates

A. J. Zaylaa; S. Saleh; F. N. Karameh; Z. Nahas; A. Bouakaz

doi:10.1109/ACTEA.2016.7560130

Cascade of nonlinear entropy and statistics to discriminate fetal heart rates

A. J. Zaylaa, S. Saleh, F. N. Karameh, Z. Nahas, A. Bouakaz

Psychiatry & Behavioral Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

Fetal heart rate discrimination is an evolving field in biomedical engineering with many efforts dedicated to avoid preterm deliveries by way of improving fetus monitoring methods and devices. Entropy analysis is a nonlinear signal analysis technique that has been progressively developed to improve the discriminability of a several physiological signals, with Kernel based entropy parameters (KBEPs) found advantageous over standard techniques. This study is the first to apply KBEPs to analyze fetal heart rates. Specifically, it explores the usability of the cutting-edge nonlinear KBEPs in discriminating between healthy fetuses and fetuses under distress. The database used in this study comprises 50 healthy and 50 distressed fetal heart rate signals with severe intrauterine growth restriction. The Cascade analysis investigates six kernel based entropy measures on fetal heart rates discrimination, and compares them to four standard entropies. The study presents a statistical evaluation of the discrimination power of each parameter (paired t-test statistics and distribution spread). Simulation results showed that the distribution ranges in 80% of the entropy parameters in the distressed heart group are higher than those in the healthy control group. Moreover, the results show that it is advantageous to choose Circular entropy then Cauchy entropy (p < 0.001) over the standard techniques, in order to discriminate fetal heart rates.

Original language	English (US)
Title of host publication	2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	152-157
Number of pages	6
ISBN (Electronic)	9781467385237
DOIs	https://doi.org/10.1109/ACTEA.2016.7560130
State	Published - Sep 2 2016
Event	3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016 - Zouk-Mosbeh, Lebanon Duration: Jul 13 2016 → Jul 15 2016

Publication series

Name	2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016

Other

Other	3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016
Country	Lebanon
City	Zouk-Mosbeh
Period	7/13/16 → 7/15/16

Keywords

Alternative Entropy Parameters
Cauchy and Spherical Entropy Parameters
Circular
Discrimination
Exponential
Fetal Heart Rate
Gaussian
Statistical Signal Processing
Triangular

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10.1109/ACTEA.2016.7560130

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Zaylaa, A. J., Saleh, S., Karameh, F. N., Nahas, Z., & Bouakaz, A. (2016). Cascade of nonlinear entropy and statistics to discriminate fetal heart rates. In 2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016 (pp. 152-157). [7560130] (2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACTEA.2016.7560130

Cascade of nonlinear entropy and statistics to discriminate fetal heart rates. / Zaylaa, A. J.; Saleh, S.; Karameh, F. N.; Nahas, Z.; Bouakaz, A.

2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 152-157 7560130 (2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zaylaa, AJ, Saleh, S, Karameh, FN, Nahas, Z & Bouakaz, A 2016, Cascade of nonlinear entropy and statistics to discriminate fetal heart rates. in 2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016., 7560130, 2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016, Institute of Electrical and Electronics Engineers Inc., pp. 152-157, 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016, Zouk-Mosbeh, Lebanon, 7/13/16. https://doi.org/10.1109/ACTEA.2016.7560130

Zaylaa AJ, Saleh S, Karameh FN, Nahas Z, Bouakaz A. Cascade of nonlinear entropy and statistics to discriminate fetal heart rates. In 2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 152-157. 7560130. (2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016). https://doi.org/10.1109/ACTEA.2016.7560130

Zaylaa, A. J. ; Saleh, S. ; Karameh, F. N. ; Nahas, Z. ; Bouakaz, A. / Cascade of nonlinear entropy and statistics to discriminate fetal heart rates. 2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 152-157 (2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016).

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