Electrohysterography in the diagnosis of preterm birth: a review

J Garcia-Casado, Y Ye-Lin… - Physiological …, 2018 - iopscience.iop.org
Preterm birth (PTB) is one of the most common and serious complications in pregnancy.
About 15 million preterm neonates are born every year, with ratios of 10–15% of total births …

Characterization and automatic classification of preterm and term uterine records

F Jager, S Libenšek, K Geršak - PLoS One, 2018 - journals.plos.org
Predicting preterm birth is uncertain, and numerous scientists are searching for non-invasive
methods to improve its predictability. Current researches are based on the analysis of …

A multivariate multiscale fuzzy entropy algorithm with application to uterine EMG complexity analysis

MU Ahmed, T Chanwimalueang, S Thayyil, DP Mandic - Entropy, 2016 - mdpi.com
The recently introduced multivariate multiscale entropy (MMSE) has been successfully used
to quantify structural complexity in terms of nonlinear within-and cross-channel correlations …

Improved prediction of preterm delivery using empirical mode decomposition analysis of uterine electromyography signals

P Ren, S Yao, J Li, PA Valdes-Sosa, KM Kendrick - PloS one, 2015 - journals.plos.org
Preterm delivery increases the risk of infant mortality and morbidity, and therefore
developing reliable methods for predicting its likelihood are of great importance. Previous …

Combination of feature selection and resampling methods to predict preterm birth based on electrohysterographic signals from imbalance data

F Nieto-del-Amor, G Prats-Boluda, J Garcia-Casado… - Sensors, 2022 - mdpi.com
Due to its high sensitivity, electrohysterography (EHG) has emerged as an alternative
technique for predicting preterm labor. The main obstacle in designing preterm labor …

Assessment of dispersion and bubble entropy measures for enhancing preterm birth prediction based on electrohysterographic signals

F Nieto-del-Amor, R Beskhani, Y Ye-Lin… - Sensors, 2021 - mdpi.com
One of the remaining challenges for the scientific-technical community is predicting preterm
births, for which electrohysterography (EHG) has emerged as a highly sensitive prediction …

Novel multichannel entropy features and machine learning for early assessment of pregnancy progression using electrohysterography

A Cheng, Y Yao, Y Jin, C Chen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: Preterm birth is the leading cause of morbidity and mortality involving over 10% of
infants. Tools for timely diagnosis of preterm birth are lacking and the underlying …

Prediction of preterm delivery from unbalanced EHG database

S Mohammadi Far, M Beiramvand, M Shahbakhti… - Sensors, 2022 - mdpi.com
Objective: The early prediction of preterm labor can significantly minimize premature
delivery complications for both the mother and infant. The aim of this research is to propose …

Accurate diagnosis of term–preterm births by spectral analysis of electrohysterography signals

DK Degbedzui, ME Yüksel - Computers in Biology and Medicine, 2020 - Elsevier
Preterm delivery contributes to an increased risk of fetal and maternal death as well as
several health deficiencies, thereby requiring special care and treatment that result in high …

Synchronization study of electrohysterography for discrimination of imminent delivery in pregnant women with threatened preterm labor

W Li, Y Yang, G Li, F Nieto-del-Amor… - Computers in Biology …, 2025 - Elsevier
Preterm birth a common and severe pregnancy complications, causing significant health,
development, and economic problems. Accurate diagnosis of imminent labor for women with …