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 …

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 …

Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms

P Fergus, A Hussain, D Al-Jumeily, DS Huang… - Biomedical engineering …, 2017 - Springer
Background Visual inspection of cardiotocography traces by obstetricians and midwives is
the gold standard for monitoring the wellbeing of the foetus during antenatal care. However …

Investigating pH based evaluation of fetal heart rate (FHR) recordings

G Georgoulas, P Karvelis, J Spilka, V Chudáček… - Health and …, 2017 - Springer
Cardiotocography (CTG) is a standard tool for the assessment of fetal well-being during
pregnancy and delivery. However, its interpretation is associated with high inter-and intra …

Cardiotocographic signal feature extraction through CEEMDAN and time-varying autoregressive spectral-based analysis for fetal welfare assessment

P Fuentealba, A Illanes, F Ortmeier - Ieee Access, 2019 - ieeexplore.ieee.org
Cardiotocograph (CTG) is a widely used tool for fetal surveillance during labor, which
provides the joint recording of fetal heart rate (FHR) and uterine contraction data …

On the prediction of foetal acidaemia: a spectral analysis-based approach

MN Zarmehri, L Castro, J Santos, J Bernardes… - Computers in biology …, 2019 - Elsevier
A computational analysis of physiological systems has been used to support the
understanding of how these systems work, and in the case of foetal heart rate, many different …

Towards an efficient prognostic model for fetal state assessment

MG da Silva Neto, JP do Vale Madeiro, JAL Marques… - Measurement, 2021 - Elsevier
Monitoring signals such as fetal heart rate (FHR) are important indicators of fetal well-being.
Computer-assisted analysis of FHR patterns has been successfully used as a decision …

A simple and effective approach for digitization of the CTG signals from CTG traces

Z Cömert, A Şengür, Y Akbulut, Ü Budak, AF Kocamaz… - IRBM, 2019 - Elsevier
Objectives Cardiotocography (CTG) is a useful tool for monitoring of the fetal heart rate
(FHR) and uterine contractions (UC) during the intrauterine life. Generally, CTG is provided …

Prediction of intrapartum hypoxia from cardiotocography data using machine learning

P Fergus, DS Huang, H Hamdan - Applied computing in medicine and …, 2016 - Elsevier
Uterine contractions produced during labor have the potential to damage a fetus by
diminishing the maternal blood flow to the placenta, which can result in fetus hypoxia. In …

Automated medical care: bradycardia detection and cardiac monitoring of preterm infants

B Arvinti, ER Iacob, A Isar, D Iacob, M Costache - Medicina, 2021 - mdpi.com
Background and Objectives: Prematurity of birth occurs before the 37th week of gestation
and affects up to 10% of births worldwide. It is correlated with critical outcomes; therefore …