Artificial intelligence in pregnancy: A scoping review

AM Oprescu, G Miro-Amarante, L García-Díaz… - IEEE …, 2020 - ieeexplore.ieee.org
Artificial Intelligence has been widely applied to a majority of research areas, including
health and medicine. Certain complications or disorders that can appear during pregnancy …

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 …

A systematic review of automated pre-processing, feature extraction and classification of cardiotocography

S Al-Yousif, A Jaenul, W Al-Dayyeni, A Alamoodi… - PeerJ Computer …, 2021 - peerj.com
Objective This study aimed to perform a systematic review to describe the achievements
made by the researchers, summarizing findings that have been found by previous …

Use of machine learning algorithms for prediction of fetal risk using cardiotocographic data

Z Hoodbhoy, M Noman, A Shafique… - … Journal of Applied …, 2019 - journals.lww.com
Background: A major contributor to under-five mortality is the death of children in the 1 st
month of life. Intrapartum complications are one of the major causes of perinatal mortality …

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 …

Ensemble of kernel extreme learning machine based random forest classifiers for automatic heartbeat classification

P Yang, D Wang, WB Zhao, LH Fu, JL Du… - … Signal Processing and …, 2021 - Elsevier
Automatic heartbeat classification technology based on the ECG plays an important role in
assisting doctors with arrhythmia diagnosis. While many heartbeat classification studies can …

Automatic classification of fetal heart rate based on convolutional neural network

J Li, ZZ Chen, L Huang, M Fang, B Li… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Fetal heart rate (FHR) is very significant to evaluate the status of fetus. However, based on
traditional classification criteria is not accurate. With the rapid development of computer …

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 …

Maximizing intrusion detection efficiency for IoT networks using extreme learning machine

S Altamimi, Q Abu Al-Haija - Discover Internet of Things, 2024 - Springer
Abstract Intrusion Detection Systems (IDSs) are crucial for safeguarding modern IoT
communication networks against cyberattacks. IDSs must exhibit exceptional performance …

Fetal state assessment based on cardiotocography parameters using PCA and AdaBoost

Y Zhang, Z Zhao - 2017 10th international congress on image …, 2017 - ieeexplore.ieee.org
Cardiotocography (CTG) is the widely used tool for recording fetal heart rate (FHR) signal
and uterine contraction (UC) activity at the same time during pregnancy and delivery. CTG is …