Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces

P Fergus, M Selvaraj, C Chalmers - Computers in biology and medicine, 2018 - Elsevier
Human visual inspection of Cardiotocography traces is used to monitor the foetus during
labour and avoid neonatal mortality and morbidity. The problem, however, is that visual …

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 …

Detection of suspicious cardiotocographic recordings by means of a machine learning classifier

C Ricciardi, F Amato, A Tedesco, D Dragone… - Bioengineering, 2023 - mdpi.com
Cardiotocography (CTG) is one of the fundamental prenatal diagnostic methods for both
antepartum and intrapartum fetal surveillance. Although it has allowed a significant …

Cardiotocography analysis using conjunction of machine learning algorithms

A Batra, A Chandra, V Matoria - 2017 International Conference …, 2017 - ieeexplore.ieee.org
Fetal distress is a primary factor for cesarean section in obstetrics and gynecology. If there is
a lack of oxygen for the fetus in the uterus, then there is always a risk of deteriorating health …

Intelligent classification of cardiotocography based on a support vector machine and convolutional neural network: Multiscene research

W Zhang, Z Tang, H Shao, C Sun, X He… - … of Gynecology & …, 2024 - Wiley Online Library
Objective To propose a computerized system utilizing multiscene analysis based on a
support vector machine (SVM) and convolutional neural network (CNN) to assess …

Prediction of fetal distress using linear and non-linear features of CTG signals

E Ramanujam, T Chandrakumar, K Nandhana… - … Vision and Bio-Inspired …, 2020 - Springer
Cardiotocography records the fetal heart rate and Uterine contractions which is used to
monitor the fetal distress during delivery. This signal supports the physicians to assess the …

Rule-based algorithm for intrapartum cardiotocograph pattern features extraction and classification

S Alyousif, MA Mohd, B Bilal, M Sheikh… - Health Science …, 2016 - search.proquest.com
Computerized FHR features extraction and Cardiotocograph (CTG) classification would
support obstetricians in CTG analysis and enhance their interpretation. The main objective …

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 …

Automatic evaluation of FHR recordings from CTU-UHB CTG database

J Spilka, G Georgoulas, P Karvelis… - … Technology in Bio-and …, 2013 - Springer
Fetal heart rate (FHR) provides information about fetal well-being during labor. The FHR is
usually the sole direct information channel from the fetus–undergoing the stress of labor–to …

Heart disease diagnosis using machine learning classification techniques

SK Shaw, S Patidar - Inventive Communication and Computational …, 2022 - Springer
Heart disease is one of the leading causes of mortality around the globe, including third
world nations such as Bangladesh. While accurately predicting cardiac illness is a difficult …