Review on EHG signal analysis and its application in preterm diagnosis
Preterm birth is the leading cause of neonatal morbidity and mortality. Early identification of
high-risk deliveries, combined with appropriate medication appears as the way to treat the …
high-risk deliveries, combined with appropriate medication appears as the way to treat the …
[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 …
has effects on the health of both the foetus and the mother, has financial consequences to …
Combination of feature selection and resampling methods to predict preterm birth based on electrohysterographic signals from imbalance data
Due to its high sensitivity, electrohysterography (EHG) has emerged as an alternative
technique for predicting preterm labor. The main obstacle in designing preterm labor …
technique for predicting preterm labor. The main obstacle in designing preterm labor …
Novel multichannel entropy features and machine learning for early assessment of pregnancy progression using electrohysterography
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 …
infants. Tools for timely diagnosis of preterm birth are lacking and the underlying …
Network theory based EHG signal analysis and its application in preterm prediction
Objective: Preterm birth is the leading cause of neonatal morbidity and mortality. Early
identification of high-risk patients followed by medical interventions is essential to the …
identification of high-risk patients followed by medical interventions is essential to the …
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 …
several health deficiencies, thereby requiring special care and treatment that result in high …
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 …
births, for which electrohysterography (EHG) has emerged as a highly sensitive prediction …
Optimized feature subset selection using genetic algorithm for preterm labor prediction based on electrohysterography
F Nieto-del-Amor, G Prats-Boluda… - Sensors, 2021 - mdpi.com
Electrohysterography (EHG) has emerged as an alternative technique to predict preterm
labor, which still remains a challenge for the scientific-technical community. Based on EHG …
labor, which still remains a challenge for the scientific-technical community. Based on EHG …
Robust characterization of the uterine myoelectrical activity in different obstetric scenarios
J Mas-Cabo, Y Ye-Lin, J Garcia-Casado… - Entropy, 2020 - mdpi.com
Electrohysterography (EHG) has been shown to provide relevant information on uterine
activity and could be used for predicting preterm labor and identifying other maternal fetal …
activity and could be used for predicting preterm labor and identifying other maternal fetal …
Predicting preterm births from electrohysterogram recordings via deep learning
U Goldsztejn, A Nehorai - Plos one, 2023 - journals.plos.org
About one in ten babies is born preterm, ie, before completing 37 weeks of gestation, which
can result in permanent neurologic deficit and is a leading cause of child mortality. Although …
can result in permanent neurologic deficit and is a leading cause of child mortality. Although …