Machine learning techniques for identifying fetal risk during pregnancy

S Ravikumar, E Kannan - International Journal of Image and …, 2022 - World Scientific
Cardiotocography (CTG) is a biophysical method for assessing fetal condition that primarily
relies on the recording and automated analysis of fetal heart activity. The quantitative …

Classification of the cardiotocogram data for anticipation of fetal risks using bagging ensemble classifier

A Subasi, B Kadasa, E Kremic - Procedia Computer Science, 2020 - Elsevier
Cardiotocography (CTG) is utilized for monitoring fetal status during antepartum and
intrapartum periods to predict the condition of the fetal wellbeing, broadly in pregnant …

Cardiotocography analysis for fetal state classification using machine learning algorithms

K Agrawal, H Mohan - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Fetus problems are the major reasons in gynecology for pregnant women's. If the conditions
for the fetus inside womb are not appropriate, then there are major chances of health …

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 …

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 …

Fetal state assessment from cardiotocogram data using artificial neural networks

E Yılmaz - Journal of Medical and Biological Engineering, 2016 - Springer
Cardiotocography is the most widely used method in obstetrics practice for monitoring fetal
health status. The main goal of monitoring is early detection of fetal hypoxia. A …

Classification of cardiotocography signals using machine learning

SA Sontakke, J Lohokare, R Dani… - Intelligent Systems and …, 2019 - Springer
Cardiotocography has been used to record and monitor fetal heartbeat and uterine
contractions, both antepartum and intrapartum for several decades now, albeit not without …

Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline

S Al-Yousif, IA Najm, HS Talab, NH Al Qahtani… - PeerJ Computer …, 2022 - peerj.com
Context: The computerization of both fetal heart rate (FHR) and intelligent classification
modeling of the cardiotocograph (CTG) is one of the approaches that are utilized in assisting …

Fetal Health Classification from Cardiotocograph for Both Stages of Labor—A Soft-Computing-Based Approach

S Das, H Mukherjee, K Roy, CK Saha - Diagnostics, 2023 - mdpi.com
To date, cardiotocography (CTG) is the only non-invasive and cost-effective tool available for
continuous monitoring of the fetal health. In spite of a marked growth in the automation of the …

[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 …