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 …
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling
Abstract Information extracted from electrohysterography recordings could potentially prove
to be an interesting additional source of information to estimate the risk on preterm birth …
to be an interesting additional source of information to estimate the risk on preterm birth …
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 …
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 …
Realistic preterm prediction based on optimized synthetic sampling of EHG signal
Preterm labor is the leading cause of neonatal morbidity and mortality in newborns and has
attracted significant research attention from many scientific areas. The relationship between …
attracted significant research attention from many scientific areas. The relationship between …
Bio-process inspired characterization of pregnancy evolution using entropy and its application in preterm birth detection
The lack of effective method for an early diagnosis of preterm births makes it a public health
problem world-widely. The relationship between the uterine contraction and the underlying …
problem world-widely. The relationship between the uterine contraction and the underlying …
Preterm birth prediction from electrohysterogram using multivariate empirical mode decomposition
Electrohysterogram (EHG) is an electrophysiological signal describing uterine contractions
that can be non-invasively measured on maternal abdominal surface. This signal contains …
that can be non-invasively measured on maternal abdominal surface. This signal contains …
Machine Learning Techniques for the Prediction of Preterm Birth Using Electrohysterography Signals
P Namadurai - Modernizing Maternal Care With Digital …, 2024 - igi-global.com
Preterm birth (PTB) is one of the dangerous pregnancy complications where the delivery
occurs prior to 37 weeks of gestation. Prediction of PTB has been challenging since there …
occurs prior to 37 weeks of gestation. Prediction of PTB has been challenging since there …
Labor Prediction in pregnant woman based on ElectroMyoGram and ElectroHysteroGram using Machine Learning Techniques
AS Oliver, U Ashwanthika… - 2020 Fourth International …, 2020 - ieeexplore.ieee.org
The World Health organization statistics states that preterm delivery is the most important
cause of infant mortality. Babies born before 37 weeks of gestational age as opposed to the …
cause of infant mortality. Babies born before 37 weeks of gestational age as opposed to the …
Improved Preterm Prediction Based on Optimized Synthetic Sampling of EHG Signal
Preterm labor is the leading cause of neonatal morbidity and mortality and has attracted
research efforts from many scientific areas. The inter-relationship between uterine …
research efforts from many scientific areas. The inter-relationship between uterine …