Myocardial Infarction (MI) is one of the well-known heart attacks. This cardiac abnormality
occurs when the artery connecting the heart is blocked. The main aim of this paper is to …

Introduction Cardiotocography (CTG) consists of two biophysical signals that are fetal heart
rate (FHR) and uterine contraction (UC). In this research area, the computerized systems are …

In this study, an application of Artificial Neural Networks (ANN), Support Vector Machines
(SVM), and k-Nearest Neighbor (k-NN) machine learning methods is performed to measure …

In the clinical practice, the fetal distress conditions such as hypoxia are detected routinely
during antepartum and even intrapartum periods with the help of electronic fetal monitoring …

This study proposes a new model relying on Empirical Mode Decomposition (EMD) and
Discrete Wavelet Transform (DWT) in order to detect fetal hypoxia by using …

Cardiotocography (CTG) monitoring is a primary tool to assess the health of the fetus. It is
widely used to identify the risk of fetal distress. With the outbreak of big data and artificial …

Fetal Health is the indicator of fetal wellbeing and regular contact in the uterus of pregnant
women during pregnancy. Most pregnancy period complication leads fetus to a severe …

Each year on average 3 million pregnant women and newborns die every 15 seconds
mostly from preventable causes, according to the estimates released by UNICEF, WHO, the …

Role of computers became inevitable in healthcare sector and computers with information
and communication technologies are found to be widely used for assessment, patient …

Improved feature selection methodology for fetal risk data collection defining important
features. The aim is to improve the fetal risk prediction rate by using an optimized technique …