DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network

Z Zhao, Y Deng, Y Zhang, Y Zhang, X Zhang… - BMC medical informatics …, 2019 - Springer
Background Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to
evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation …

Open access intrapartum CTG database

V Chudáček, J Spilka, M Burša, P Janků… - BMC pregnancy and …, 2014 - Springer
Background Cardiotocography (CTG) is a monitoring of fetal heart rate and uterine
contractions. Since 1960 it is routinely used by obstetricians to assess fetal well-being. Many …

Heart rate variability in the perinatal period: a critical and conceptual review

M Chiera, F Cerritelli, A Casini, N Barsotti… - Frontiers in …, 2020 - frontiersin.org
Neonatal intensive care units (NICUs) greatly expand the use of technology. There is a need
to accurately diagnose discomfort, pain, and complications, such as sepsis, mainly before …

Accessing artificial intelligence for fetus health status using hybrid deep learning algorithm (AlexNet-SVM) on cardiotocographic data

N Muhammad Hussain, AU Rehman, MTB Othman… - Sensors, 2022 - mdpi.com
Artificial intelligence is serving as an impetus in digital health, clinical support, and health
informatics for an informed patient's outcome. Previous studies only consider classification …

Classifying the type of delivery from cardiotocographic signals: A machine learning approach

C Ricciardi, G Improta, F Amato, G Cesarelli… - Computer Methods and …, 2020 - Elsevier
Background and objective Cardiotocography (CTG) is the most employed methodology to
monitor the foetus in the prenatal phase. Since the evaluation of CTG is often visual, and …

Computer-aided diagnosis system of fetal hypoxia incorporating recurrence plot with convolutional neural network

Z Zhao, Y Zhang, Z Comert, Y Deng - Frontiers in physiology, 2019 - frontiersin.org
Background: Electronic fetal monitoring (EFM) is widely applied as a routine diagnostic tool
by clinicians using fetal heart rate (FHR) signals to prevent fetal hypoxia. However, visual …

A medical decision support system based on support vector machines and the genetic algorithm for the evaluation of fetal well-being

H Ocak - Journal of medical systems, 2013 - Springer
A new scheme was presented in this study for the evaluation of fetal well-being from the
cardiotocogram (CTG) recordings using support vector machines (SVM) and the genetic …

Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier

R Zeng, Y Lu, S Long, C Wang, J Bai - Computers in Biology and Medicine, 2021 - Elsevier
Background Cardiotocography (CTG) signal abnormality classification plays an important
role in the diagnosis of abnormal fetuses. This classification problem is made difficult by the …

Sparse support vector machine for intrapartum fetal heart rate classification

J Spilka, J Frecon, R Leonarduzzi… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Fetal heart rate (FHR) monitoring is routinely used in clinical practice to help obstetricians
assess fetal health status during delivery. However, early detection of fetal acidosis that …

Computerized cardiotocography analysis during labor–A state‐of‐the‐art review

I Ben M'Barek, G Jauvion… - Acta Obstetricia et …, 2023 - Wiley Online Library
Cardiotocography is defined as the recording of fetal heart rate and uterine contractions and
is widely used during labor as a screening tool to determine fetal wellbeing. The visual …