Results 81 to 90 of about 697 (169)

Towards improving uterine electrical activity modeling and electrohysterography: ultrasonic quantification of uterine movements during labor

open access: yes, 2013
The electrohysterogram is a potential new tool for diagnosing preterm labor. Parameters from the electrohysterogram may be influenced by uterine movement.
Haazen, N.C.E.   +5 more
core   +1 more source

A predictive model for birth delivery mode utilizing shape characteristics of uterine contractions from electrohysterographic signals and obstetric parametersUsed Electrohysterogram database (Icelandic 16-electrode electrohysterogram database) in this study which are publicly available (accessible at: ) in Physiobank.

open access: yesBiomedical Engineering Advances
Birth delivery outcomes have a substantial impact on maternal and neonatal health. The objective of this work is to develop a predictive model that can identify the method of delivery during active labor, specifically by identifying contraction bursts ...
Rubana H. Chowdhury   +2 more
doaj   +1 more source

Electrohysterographic evaluation of preterm contractions in a patient with a unicornuate uterus

open access: yes, 2013
Women with Müllerian anomalies are at increased risk of preterm labor. The analysis of parameters derived by the electrohysterogram such as its conduction velocity are promising for preterm delivery prediction.
S.Guid Oei   +5 more
core   +1 more source

Prediction of preterm birth using artificial intelligence: a systematic review

open access: yes, 2022
Preterm birth is the leading cause of neonatal death. It is challenging to predict preterm birth. We elucidated the state of artificial intelligence research on the prediction of preterm birth, clarifying the predictive values and accuracy.
Munetoshi Akazawa, Kazunori Hashimoto
core   +1 more source

LaborEase: An Artificial Intelligence-Based Wearable Electrohysterography Device for Preterm Pregnancy Detection

open access: yesIEEE Access
In this research, a portable electrohysterography device is developed for electrohysterogram recording and early detection of preterm pregnancies using machine learning techniques to classify the acquired recordings as preterm or term. The data collected
Muhammad Omar Cheema   +3 more
doaj   +1 more source

Poster Session 1

open access: yes
Pregnancy, Volume 2, Issue S1, January 2026.
wiley   +1 more source

Electrohysterogram Signals from Patients with Threatened Preterm Labor: Concentric Ring Electrode Vs Disk Electrode Recordings

open access: yesInternational Conference on Bio-inspired Systems and Signal Processing, 2017
Recording of electrohysterogram (EHG) has emerged as a non-invasive method for monitoring uterine dynamics during pregnancy. Usually EHG is picked up using conventional disk electrodes placed on the abdominal surface resulting in a limited spatial ...
J. Mas-Cabo   +6 more
semanticscholar   +1 more source

Special Issue "Machine Learning Methods for Biomedical Data Analysis". [PDF]

open access: yesSensors (Basel), 2023
Caiafa CF   +4 more
europepmc   +1 more source

Electrophysiological monitoring of uterine contractions [PDF]

open access: yes, 2014
\u3cp\u3eA signal processing arrangement 130, a monitoring system 100, a signal processing method, a monitoring method of monitoring uterine contractions of a pregnant woman, and a computer program product are provided.
Vullings, R Rik   +2 more
core   +1 more source

Predicting preterm birth with privacy-preserving AI models: Federated learning and explainable AI

open access: yesEgyptian Informatics Journal
Preterm birth remains a significant public health challenge, closely associated with infant mortality and long-term morbidity. The complexity of its causes complicates accurate prediction.
Md Tanjum An Tashrif   +6 more
doaj   +1 more source

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