[HTML][HTML] Machine learning and disease prediction in obstetrics

Z Arain, S Iliodromiti, G Slabaugh, AL David… - Current Research in …, 2023 - Elsevier
Abstract Machine learning technologies and translation of artificial intelligence tools to
enhance the patient experience are changing obstetric and maternity care. An increasing …

An automatic classification approach for preterm delivery detection based on deep learning

KSN Rao, V Asha - Biomedical Signal Processing and Control, 2023 - Elsevier
Recently, tocography (TOCO) and electrohysterogram (EHG) signals are real-time and non-
invasive technology that has been applied to detect preterm delivery. This paper proposes a …

Novel linear and nonlinear features for the analysis of dynamic brain functional connectivity

Y Zheng, Y Jin, T Cao, R Lin, Y Xu… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Dynamic functional connectivity (dFC), estimating changes in the brain interaction, has been
employed as a sensitive biomarker for identifying neurological and psychological disorders …

Multi-channel electrohysterography enabled uterine contraction characterization and its effect in delivery assessment

J Shen, Y Liu, M Zhang, A Pumir, L Mu, B Li… - Computers in Biology and …, 2023 - Elsevier
Uterine contractions are routinely monitored by tocodynamometer (TOCO) at late stage of
pregnancy to predict the onset of labor. However, TOCO reveals no information on the …

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 …

Quantification of hypsarrhythmia in infantile spasmatic EEG: a large cohort study

R Hou, Q Guo, Q Wu, Z Zhao, X Hu… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Infantile spasms (IS) is a neurological disorder causing mental and/or developmental
retardation in many infants. Hypsarrhythmia is a typical symptom in the …

Implementation of the combined use of non‐invasive fetal electrocardiography and electrohysterography during labor: A prospective clinical study

MWE Frenken, DAA Van Der Woude… - Acta Obstetricia et …, 2023 - Wiley Online Library
Abstract Introduction Fetal electrocardiography (NI‐fECG) and electrohysterography (EHG)
have been proven more accurate and reliable than conventional non‐invasive methods …

Automated Method for Uterine Contraction Extraction and Classification of Term vs. Pre-term EHG Signals

RH Chowdhury, QD Hossain, M Ahmad - IEEE Access, 2024 - ieeexplore.ieee.org
The significance of uterine contractions in facilitating the successful birth of fetuses is self-
evident. Timely recognition of high-risk deliveries, coupled with the administration of …

A Novel Approach Analysing the Dynamic Brain Functional Connectivity for Improved MCI Detection

T Cao, R Lin, Y Zheng, D Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Objective: Dynamic functional connectivity (dFC) of the brain has been explored for the
detection of mild cognitive impairment (MCI), preventing potential development of …

Predicting risk factors associated with preterm delivery using a machine learning model

SN Kavitha, V Asha - Multimedia Tools and Applications, 2024 - Springer
The evaluation of uterine contraction offers significant information regarding the progression
of labour. The occurrence of deliveries before the expected dates leads to undesirable …