Electrohysterography in the diagnosis of preterm birth: a review
J Garcia-Casado, Y Ye-Lin… - Physiological …, 2018 - iopscience.iop.org
Preterm birth (PTB) is one of the most common and serious complications in pregnancy.
About 15 million preterm neonates are born every year, with ratios of 10–15% of total births …
About 15 million preterm neonates are born every year, with ratios of 10–15% of total births …
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] ComEDA: A new tool for stress assessment based on electrodermal activity
Non-specific sympathetic arousal responses to different stressful elicitations can be easily
recognized from the analysis of physiological signals. However, neural patterns of …
recognized from the analysis of physiological signals. However, neural patterns of …
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 …
[HTML][HTML] Evaluation of electrohysterogram measured from different gestational weeks for recognizing preterm delivery: a preliminary study using random Forest
J Peng, D Hao, L Yang, M Du, X Song, H Jiang… - Biocybernetics and …, 2020 - Elsevier
Developing a computational method for recognizing preterm delivery is important for timely
diagnosis and treatment of preterm delivery. The main aim of this study was to evaluate …
diagnosis and treatment of preterm delivery. The main aim of this study was to evaluate …
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 …
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 …
Motion-artifact reduction in capacitive heart-rate measurements by adaptive filtering
Electrocardiography (ECG) measurements are essential components in clinical diagnosis
and monitoring. Conventional ECG measurements produce discomfort to the patients due to …
and monitoring. Conventional ECG measurements produce discomfort to the patients due to …
Assessment of features between multichannel electrohysterogram for differentiation of labors
Y Zhang, D Hao, L Yang, X Zhou, Y Ye-Lin, Y Yang - Sensors, 2022 - mdpi.com
Electrohysterogram (EHG) is a promising method for noninvasive monitoring of uterine
electrical activity. The main purpose of this study was to characterize the multichannel EHG …
electrical activity. The main purpose of this study was to characterize the multichannel EHG …