[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] Enhancing classification of preterm-term birth using continuous wavelet transform and entropy-based methods of electrohysterogram signals

H Romero-Morales… - Frontiers in …, 2023 - frontiersin.org
Introduction Despite vast research, premature birth's electrophysiological mechanisms are
not fully understood. Prediction of preterm birth contributes to child survival by providing …

[HTML][HTML] An open dataset with electrohysterogram records of pregnancies ending in induced and cesarean section delivery

F Jager - Scientific Data, 2023 - nature.com
The existing non-invasive automated preterm birth prediction methods rely on the use of
uterine electrohysterogram (EHG) records coming from spontaneous preterm and term …

Automatic detection and characterization of uterine contraction using Electrohysterography

Z Chen, M Wang, M Zhang, W Huang, Y Feng… - … Signal Processing and …, 2024 - Elsevier
Preterm birth is the leading cause of perinatal morbidity and mortality. In clinical practice, the
information of uterine contraction is an important reference for preterm delivery. The …

[HTML][HTML] Characterization and separation of preterm and term spontaneous, induced, and cesarean EHG records

Ž Pirnar, F Jager, K Geršak - Computers in biology and medicine, 2022 - Elsevier
To improve the understanding of the underlying physiological processes that lead to preterm
birth, and different term delivery modes, we quantitatively characterized and assessed the …

[HTML][HTML] Prediction of Preterm Labor from the Electrohysterogram Signals Based on Different Gestational Weeks

S Mohammadi Far, M Beiramvand, M Shahbakhti… - Sensors, 2023 - mdpi.com
Timely preterm labor prediction plays an important role for increasing the chance of neonate
survival, the mother's mental health, and reducing financial burdens imposed on the family …

[HTML][HTML] Functional connectivity and complexity in the phenomenological model of mild cognitive-impaired Alzheimer's disease

S Das, SD Puthankattil - Frontiers in Computational Neuroscience, 2022 - frontiersin.org
Background Functional connectivity and complexity analysis has been discretely studied to
understand intricate brain dynamics. The current study investigates the interplay between …

Automatic Semantic Segmentation of EHG Recordings by Deep Learning: an Approach to a Screening Tool for Use in Clinical Practice

FN del Amor, YY Lin, RM Ortiz, VJ Diago-Almela… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective: Preterm delivery is an important factor in the disease
burden of the newborn and infants worldwide. Electrohysterography (EHG) has become a …

[HTML][HTML] Overdistention accelerates electrophysiological changes in uterine muscle towards labour in multiple gestations

A Diaz-Martinez, G Prats-Boluda, R Monfort-Ortiz… - IRBM, 2024 - Elsevier
Background for the research Premature birth and its associated complications are one of the
biggest global health problems, since there is currently no effective screening method in …