A comprehensive review of techniques for processing and analyzing fetal heart rate signals

AM Ponsiglione, C Cosentino, G Cesarelli, F Amato… - Sensors, 2021 - mdpi.com
The availability of standardized guidelines regarding the use of electronic fetal monitoring
(EFM) in clinical practice has not effectively helped to solve the main drawbacks of fetal …

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 …

An attention-based CNN-BiLSTM hybrid neural network enhanced with features of discrete wavelet transformation for fetal acidosis classification

M Liu, Y Lu, S Long, J Bai, W Lian - Expert Systems with Applications, 2021 - Elsevier
Cardiotocography (CTG) is widely used in fetal monitoring, especially in the diagnosis of
fetal acidosis. However, the manual interpretation of CTG analysis may easily lead to a low …

A study of artificial neural network training algorithms for classification of cardiotocography signals

Z Cömert, A Kocamaz - Bitlis Eren University journal of science and …, 2017 - dergipark.org.tr
Cardiotocography (CTG) that contains fetal heart rate (FHR) and uterine contraction (UC)
signals is a monitoring technique. During the last decades, FHR signals have been …

[PDF][PDF] Comparison of machine learning techniques for fetal heart rate classification

Z Cömert, A Kocamaz - Acta Physica Polonica A, 2017 - bibliotekanauki.pl
Cardiotocography is a monitoring technique providing important and vital information on
fetal status during antepartum and intrapartum periods. The advances in modern obstetric …

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 …

Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment

Z Cömert, AF Kocamaz, V Subha - Computers in biology and medicine, 2018 - Elsevier
Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period
to decrease the rates of neonatal mortality and morbidity as well as unnecessary …

Computerised cardiotocography analysis for the automated detection of fetal compromise during labour: a review

L Mendis, M Palaniswami, F Brownfoot, E Keenan - Bioengineering, 2023 - mdpi.com
The measurement and analysis of fetal heart rate (FHR) and uterine contraction (UC)
patterns, known as cardiotocography (CTG), is a key technology for detecting fetal …

Fetal hypoxia detection based on deep convolutional neural network with transfer learning approach

Z Cömert, AF Kocamaz - … Engineering and Algorithms in Intelligent Systems …, 2019 - Springer
Electronic fetal monitoring (EFM) device which is used to record Fetal Heart Rate (FHR) and
Uterine Contraction (UC) signals simultaneously is one of the significant tools in terms of the …

A machine learning pipeline to classify foetal heart rate deceleration with optimal feature set

S Das, SM Obaidullah, M Mahmud, MS Kaiser… - Scientific Reports, 2023 - nature.com
Deceleration is considered a commonly practised means to assess Foetal Heart Rate (FHR)
through visual inspection and interpretation of patterns in Cardiotocography (CTG). The …