Computerized cardiotocography analysis during labor–A state‐of‐the‐art review

I Ben M'Barek, G Jauvion… - Acta Obstetricia et …, 2023 - Wiley Online Library
Cardiotocography is defined as the recording of fetal heart rate and uterine contractions and
is widely used during labor as a screening tool to determine fetal wellbeing. The visual …

[HTML][HTML] Non-linear methods predominant in fetal heart rate analysis: a systematic review

M Ribeiro, J Monteiro-Santos, L Castro… - Frontiers in …, 2021 - frontiersin.org
The analysis of fetal heart rate variability has served as a scientific and diagnostic tool to
quantify cardiac activity fluctuations, being good indicators of fetal well-being. Many …

Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier

R Zeng, Y Lu, S Long, C Wang, J Bai - Computers in Biology and Medicine, 2021 - Elsevier
Background Cardiotocography (CTG) signal abnormality classification plays an important
role in the diagnosis of abnormal fetuses. This classification problem is made difficult by the …

[HTML][HTML] DeepCTG® 1.0: an interpretable model to detect fetal hypoxia from cardiotocography data during labor and delivery

I Ben M'Barek, G Jauvion, J Vitrou, E Holmström… - Frontiers in …, 2023 - frontiersin.org
Introduction Cardiotocography, which consists in monitoring the fetal heart rate as well as
uterine activity, is widely used in clinical practice to assess fetal wellbeing during labor and …

Baseline/acceleration/deceleration determination of fetal heart rate signals using a novel ensemble LCResU-net

M Liu, R Zeng, Y Xiao, J Bai, J Liu, Z Zheng… - Expert Systems with …, 2023 - Elsevier
Objective According to guidelines on electronic fetal heart rate (FHR) monitoring, visual FHR
interpretation by obstetricians depends on the recognition of patterns (mainly including …

[HTML][HTML] CTGNet: Automatic analysis of fetal heart rate from cardiotocograph using artificial intelligence

M Zhong, H Yi, F Lai, M Liu, R Zeng, X Kang… - Maternal-Fetal …, 2022 - journals.lww.com
Objective: This study investigates the efficacy of analyzing fetal heart rate (FHR) signals
based on Artificial Intelligence to obtain a baseline calculation and identify accelerations …

[HTML][HTML] Use of deep learning to detect the maternal heart rate and false signals on fetal heart rate recordings

S Boudet, A Houzé de l'Aulnoit, L Peyrodie, R Demailly… - Biosensors, 2022 - mdpi.com
We have developed deep learning models for automatic identification of the maternal heart
rate (MHR) and, more generally, false signals (FSs) on fetal heart rate (FHR) recordings. The …

[HTML][HTML] Deep learning based fetal distress detection from time frequency representation of cardiotocogram signal using Morse wavelet: research study

YD Daydulo, BL Thamineni, HK Dasari… - BMC Medical Informatics …, 2022 - Springer
Background Clinically cardiotocography is a technique which is used to monitor and
evaluate the level of fetal distress. Even though, CTG is the most widely used device to …

On designing a biosignal-based fetal state assessment system: A systematic mapping study

MG da Silva Neto, JP do Vale Madeiro… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective The patterns present in biosignals, such as fetal heart
rate (FHR), are valuable indicators of fetal well-being. In designing biosignal analysis …

Estimation of the foetal heart rate baseline based on singular spectrum analysis and empirical mode decomposition

Y Lu, X Zhang, L Jing, X Li, X Fu - Future Generation Computer Systems, 2020 - Elsevier
In this paper, we propose a novel automatic baseline estimation algorithm for foetal heart
rate (FHR), and we verify the correctness and effectiveness of the algorithm through clinical …