[HTML][HTML] A cybernetic framework for predicting preterm and enhancing care strategies: A review

E Nsugbe - Biomedical Engineering Advances, 2021 - Elsevier
Preterm is viewed as the birth of a human foetus prior to 37 complete weeks of gestation. It
has effects on the health of both the foetus and the mother, has financial consequences to …

[HTML][HTML] Enhancing care strategies for preterm pregnancies by using a prediction machine to aid clinical care decisions

E Nsugbe, O Obajemu, OW Samuel, I Sanusi - Machine Learning with …, 2021 - Elsevier
Preterm births are one of the main causes of death in children under the age of 5; they carry
financial implications to the economy and cause exceptional psychological distress to …

Automatic recognition of uterine contractions with electrohysterogram signals based on the zero-crossing rate

X Song, X Qiao, D Hao, L Yang, X Zhou, Y Xu… - Scientific reports, 2021 - nature.com
Uterine contraction (UC) is an essential clinical indicator in the progress of labour and
delivery. Electrohysterogram (EHG) signals recorded on the abdomen of pregnant women …

Potential use of electrohysterography in obstetrics: a review article

C Huber, SA Shazly, R Ruano - The Journal of Maternal-Fetal & …, 2021 - Taylor & Francis
Monitoring the uterine contraction during pregnancy is necessary to monitor labor progress,
fetal and maternal well-being, and uterine activity. The aim of this review was to evaluate the …

Multi-modal uterine-activity measurements for prediction of embryo implantation by machine learning

F Sammali, C Blank, TGH Bakkes, Y Huang… - IEEE …, 2021 - ieeexplore.ieee.org
In-vitro fertilization (IVF) is the most advanced treatment for infertility problems; however, its
failure rate is still above 70% and the exact causes are often unknown. There is increasing …

Automated detection of preterm condition using uterine electromyography based topological features

S Vinothini, N Punitha, PA Karthick… - Biocybernetics and …, 2021 - Elsevier
Accurate prediction of preterm birth is a global, public health priority. This necessitates the
need for an efficient technique that aids in early diagnosis. The objective of this study is to …

The contractiongram: A method for the visualization of uterine contraction evolution using the electrohysterogram

AG Batista, R Cebola, F Esgalhado, S Russo… - … Signal Processing and …, 2021 - Elsevier
Uterine contractions' monitoring has been pointed out as an important tool that may be
useful in the preterm risk assessment, term birth estimation and uterine physiology …

A study on preterm birth predictions using physiological signals, medical health record information and low‐dimensional embedding methods

E Nsugbe, OW Samuel, I Sanusi… - IET Cyber‐Systems …, 2021 - Wiley Online Library
Preterm births have been seen to have psychological and financial implications; current
surveys suggest that amongst the various methods of preterm prediction, there is yet to exist …

Effect of electrode configuration on recognizing uterine contraction with electrohysterogram: Analysis using a convolutional neural network

D Hao, X Song, Q Qiu, X Xin, L Yang… - … Journal of Imaging …, 2021 - Wiley Online Library
This paper aimed to evaluate the effect of various electrode configurations on applying a
convolutional neural network (CNN) to recognize uterine contraction (UC) with …

[HTML][HTML] Особенности электрической активности среднего сегмента маточной трубы

КВ Казарян, ТА Пилипосян, НГ Унанян… - … современной науки и …, 2021 - cyberleninka.ru
Исследована спонтанная электрическая активность средней зоны фаллопиевых труб у
крыс в норме и при изоляции от влияния автоматизма приграничных областей …