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The Study of Hypertensive Disorders of Pregnancy Using Doppler Ultrasound Fetal Information

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HAL Id: inserm-01800368

https://www.hal.inserm.fr/inserm-01800368

Submitted on 25 May 2018

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The Study of Hypertensive Disorders of Pregnancy Using Doppler Ultrasound Fetal Information

Rayan Chaaban, Walaa Issa, Jean-Marc Girault, Amira J. Zaylaa

To cite this version:

Rayan Chaaban, Walaa Issa, Jean-Marc Girault, Amira J. Zaylaa. The Study of Hypertensive Dis- orders of Pregnancy Using Doppler Ultrasound Fetal Information. Annual Engineering Exhibition, 2018, May 2018, Beirut, Lebanon. �inserm-01800368�

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Department of Biomedical Engineering

The Study of Hypertensive Disorders of Pregnancy Using Doppler Ultrasound

Fetal Information

Rayan Chaaban, Walaa Issa, Jean-Marc Girault and Amira J. Zaylaa*

*Corresponding Author

Introduction

Testing & Results

•Hypertension of pregnancy is a critical health issue for pregnant women, and consequently their infants.

•One of the major signs and consequences of HDP is the IUGR, also known as Fetal Growth Restriction (FGR).

•IUGR refers to the poor growth of the fetus while in the mother's womb during pregnancy.

Problematic and Objectives

Chaotic

Signal

Methodology

Conclusion

Two types of signals (periodic and chaotic Rossler signals) modeled healthy and IUGR signals of the pregnant women. New combinations of features aided in an advanced classification of modeled signals and thus chaotic signal detection.

#LIU_Engineers, May 2018

Combination Between Features Algorithms Sensitivity Specificity Accuracy Precision

I. [fuzzyentropy; condition; kurtosis] K-means 100 37.5000 64.2857 54.5455

K Nearest Neighbors

(KNN) 83.3333 100 87.5000 100

Support Vector

Machine (SVM) 83.3333 66.6667 77.7778 83.3333

Fuzzy C Means (FCM) 100 33.3333 60 50

II. [Costa Entropy; Fuzzy Entropy;

Permutation Entropy ]

K-means 100 37.5 64.28 60

K Nearest Neighbors

(KNN) 83.3333 100 87.05 100

Support Vector

Machine (SVM) 83.3333 66.66 77 83.3333

Fuzzy C Means (FCM) 100 37.5 64.28 50

III.[multiscale_permEntropy; permutation entropy]

K-means 100 50 75 80

K Nearest Neighbors

(KNN) 100 100 100 100

Support Vector

Machine (SVM) 100 66.6667 85.7143 66.6667

Fuzzy C Means (FCM) 100 33.3333 60 50

IV. [multiscale_permEntropy; condition;

kurtosis]

K-means 100 42.8571 69.2308 60

K Nearest Neighbors

(KNN) 66.6667 100 71.4286 100

Support Vector

Machine (SVM) 83.3333 66.6667 77.7778 83.3333

Fuzzy C Means (FCM) 100 33.3333 60 50

Middle combinati on

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