alexa Advanced Discrimination between Healthy and Intrauterine Growth Restricted Fetuses by Unbiased Recurrence Plots
ISSN: 2379-1764

Advanced Techniques in Biology & Medicine
Open Access

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Research Article

Advanced Discrimination between Healthy and Intrauterine Growth Restricted Fetuses by Unbiased Recurrence Plots

Amira Zaylaa1*, Jamal Charara2 and Jean-Marc Girault3

1Department of Electrical and Computer Engineering, American University of Beirut, Lebanon

2Department of Physics and Electronics, Lebanese University, Beirut, Lebanon

3Department of Medical Biophysics and Imaging, Signal-Imaging Group, François-Rabelais University of Tours, France

*Corresponding Author:
Amira Zaylaa
Department of Electrical and Computer Engineering
American University of Beirut, RGB building Bliss street, Beirut, Lebanon
Tel: 913940869
Email: [email protected]

Received May 05, 2016; Accepted May 12, 2016; Published May 19, 2016

Citation: Zaylaa A, Charara J, Girault JM (2016) Advanced Discrimination Between Healthy and Intrauterine Growth Restricted Fetuses by Unbiased Recurrence Plots. Adv Tech Biol Med 4:177. doi: 10.4172/2379-1764.1000177

Copyright: © 2016 Zaylaa A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Intrauterine Growth Restriction, the poor growth of the fetus during pregnancy is a medical difficulty exposing the fetus to severe complications which could lead to its death. The discrimination of such medical problem is still challenging. This work aims to improve the discrimination between Intrauterine Growth Restricted fetuses from healthy fetuses, by comparing Unbiased Recurrence Plot analysis of their heart rates to standard recurrence plots. It also aims to offer the ultimate recurrence quantification parameter that leads the best discrimination. Entropy parameter, determinism, cross-determinism, recurrence rate and percentage of reduced sojourn points are computed from Unbiased Recurrence Plots. The evaluation of the effectiveness of discrimination is carried out using the sensitivity, specificity, accuracy and precision and Cohen’s kappa coefficient from the recurrence quantification analysis, and is compared to standard recurrence plots. Experimental results showed that the cross-determinism parameter is the utmost parameter providing a high discriminative power (86.5%) and the maximum relative separation between the two fetal heart rate sets (42.6%), and minimum standard deviation (± 0.12%). Both recurrence rate and entropy parameters are less active than cross-determinism but they are still adequate for Intrauterine Growth restricted fetuses classification. These results pave the way for highly sensitive classification devices. However, the detection of other medical problems should be further investigated, and deeper link of quantification parameters to distress diagnosis should be considered in order to understand the underlying physiological processes.

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