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 …
The role of artificial intelligence in transforming maternity services in Africa: prospects and challenges
OA Bolarinwa, A Mohammed… - Therapeutic Advances in …, 2024 - journals.sagepub.com
Maternal and neonatal health outcomes in Africa remain a significant public health
challenge. 1 Despite ongoing efforts to enhance maternity services, many women across the …
challenge. 1 Despite ongoing efforts to enhance maternity services, many women across the …
[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 …
Assessing Fetal Health by Pregnant Women in China Using Mobile Health Application
This study endeavours to tackle the critical problem of inadequate evidence-based content
in mobile health applications (mHealth apps), which adversely impact the accuracy of …
in mobile health applications (mHealth apps), which adversely impact the accuracy of …