An automated pre-term prediction system using EHG signal with the aid of deep learning technique
A Veena, S Gowrishankar - Multimedia Tools and Applications, 2024 - Springer
Prematurity is the leading cause of infant morbidity and mortality around the world. Surface
uterine electromyogram (sEMG) is a non-invasive uterine electromyogram. One of most …
uterine electromyogram (sEMG) is a non-invasive uterine electromyogram. One of most …
N-beats as an EHG signal forecasting method for labour prediction in full term pregnancy
TR Jossou, Z Tahori, G Houdji, D Medenou, A Lasfar… - Electronics, 2022 - mdpi.com
The early prediction of onset labour is critical for avoiding the risk of death due to pregnancy
delay. Low-income countries often struggle to deliver timely service to pregnant women due …
delay. Low-income countries often struggle to deliver timely service to pregnant women due …
[HTML][HTML] Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity
A Diaz-Martinez, R Monfort-Ortiz, Y Ye-Lin… - biocybernetics and …, 2023 - Elsevier
The prolonged latent phase of Induction of Labour (IOL) is associated with increased risks of
maternal mortality and morbidity. Electrohysterography (EHG) has outperformed traditional …
maternal mortality and morbidity. Electrohysterography (EHG) has outperformed traditional …
ML-Based Interpretation of Cardiotocography Data: Current State and Future Research
TM Kadarina, D Gunawan - 2023 International Conference of …, 2023 - ieeexplore.ieee.org
To evaluate the health and well-being of an unborn child throughout pregnancy, fetal risk
prediction is a crucial component of prenatal care. The evaluation of potential risks and …
prediction is a crucial component of prenatal care. The evaluation of potential risks and …
A real-time ecg ctg based ensemble feature extraction and unsupervised learning based classification framework for multi-class abnormality prediction
Y Aditya, SS Devi… - International Journal of …, 2023 - search.proquest.com
Cardiovascular diseases (CVDs) are a leading cause of death worldwide. Early detection
and diagnosis of these diseases can greatly reduce complications and improve outcomes …
and diagnosis of these diseases can greatly reduce complications and improve outcomes …
An automatic classification approach for preterm delivery detection based on deep learning
KSN Rao, V Asha - Biomedical Signal Processing and Control, 2023 - Elsevier
Recently, tocography (TOCO) and electrohysterogram (EHG) signals are real-time and non-
invasive technology that has been applied to detect preterm delivery. This paper proposes a …
invasive technology that has been applied to detect preterm delivery. This paper proposes a …
Predicting risk factors associated with preterm delivery using a machine learning model
SN Kavitha, V Asha - Multimedia Tools and Applications, 2024 - Springer
The evaluation of uterine contraction offers significant information regarding the progression
of labour. The occurrence of deliveries before the expected dates leads to undesirable …
of labour. The occurrence of deliveries before the expected dates leads to undesirable …
Design and assessment of a computer-assisted artificial intelligence system for predicting preterm labor in women attending regular check-ups. Emphasis in …
F Nieto del Amor - 2023 - riunet.upv.es
[EN] Preterm delivery, defined as birth before 37 weeks of gestation, is a significant global
concern with implications for the health of newborns and economic costs. It affects …
concern with implications for the health of newborns and economic costs. It affects …
ANALYSIS OF ELECTROHYSTEROGRAM SIGNALS AND PREDICTION OF PRETERM BIRTHS USING MACHINE LEARNING
D Raghavan, HH Adithya, S Raghuram… - Biomedical …, 2023 - World Scientific
The World Health Organization (WHO) estimates that over 15 million infants are born before
the entire period of pregnancy. Over a million neonatal deaths occurred in 2015 as a result …
the entire period of pregnancy. Over a million neonatal deaths occurred in 2015 as a result …
MATRA: An Automated System for MATernal Risk Assessment
The progress of science and technology in recent times has gifted numerous solutions that
have revolutionized our lifestyle. The advent of Internet of Things (IoT) and associated …
have revolutionized our lifestyle. The advent of Internet of Things (IoT) and associated …