[HTML][HTML] 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 …

Artificial intelligence and machine learning in cardiotocography: A sco** review

JL Aeberhard, AP Radan, R Delgado-Gonzalo… - European Journal of …, 2023 - Elsevier
Introduction Artificial intelligence (AI) is gaining more interest in the field of medicine due to
its capacity to learn patterns directly from data. This becomes interesting for the field of …

ETCNN: an ensemble transformer-convolutional neural network for automatic analysis of fetal heart rate

Q Wu, Y Lu, X Kang, H Wang, Z Zheng, J Bai - … Signal Processing and …, 2024 - Elsevier
Objective Traditional methods face challenges in accurately analyzing fetal heart rate (FHR)
signals due to the complexity of accelerations and decelerations (Acc/Dec) and their cyclic …

DT-CTNet: A clinically interpretable diagnosis model for fetal distress

Y Zhang, Y Deng, X Zhang, P Jiao, X Zhang… - … Signal Processing and …, 2023 - Elsevier
Abstract Clinically, Fetal Heart Rate (FHR)-based intelligent cardiotocography classification
to diagnose fetal well-being is of utmost importance for obstetricians and gynecologists …

AI-driven paradigm shift in computerized cardiotocography analysis: A systematic review and promising directions

W ** robust AI for intrapartum fetal heart rate monitoring
ME O'Sullivan, EC Considine, M O'Riordan… - Frontiers in Artificial …, 2021 - frontiersin.org
Background: CTG remains the only non-invasive tool available to the maternity team for
continuous monitoring of fetal well-being during labour. Despite widespread use and …

Multimodal learning for fetal distress diagnosis using a multimodal medical information fusion framework

Y Zhang, Y Deng, Z Zhou, X Zhang, P Jiao… - Frontiers in …, 2022 - frontiersin.org
Cardiotocography (CTG) monitoring is an important medical diagnostic tool for fetal well-
being evaluation in late pregnancy. In this regard, intelligent CTG classification based on …

The OxMat dataset: a multimodal resource for the development of AI-driven technologies in maternal and newborn child health

MJ Khan, I Duta, B Albert, W Cooke, M Vatish… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid advancement of Artificial Intelligence (AI) in healthcare presents a unique
opportunity for advancements in obstetric care, particularly through the analysis of …

Comparison of fetal heart rate baseline estimation by the cardiotocograph network and clinicians: a multidatabase retrospective assessment study

J Bai, X Pan, Y Lu, M Zhong, H Wang… - Frontiers in …, 2023 - frontiersin.org
Background This study aims to compare the fetal heart rate (FHR) baseline predicted by the
cardiotocograph network (CTGNet) with that estimated by clinicians. Material and methods A …