Machine learning-based detection of in-utero fetal presentation from non-invasive fetal ECG
… This study presents a first approach to fetal orientation detection based on … “A systematic
review of cardiac time intervals utilising non-invasive fetal electrocardiogram in normal fetuses,” …
review of cardiac time intervals utilising non-invasive fetal electrocardiogram in normal fetuses,” …
[HTML][HTML] Protocol: Ambulatory antenatal fetal electrocardiography in high-risk pregnancies (AMBER): protocol for a pilot prospective cohort study
B Liu, E Marler, B Thilaganathan, A Bhide - BMJ Open, 2023 - ncbi.nlm.nih.gov
… non-invasive electrophysiological assessment (NIEA) parameters such as phase-rectified
signal averaging (PRSA) and cardiac time intervals (… statistical analysis comparing fetuses with …
signal averaging (PRSA) and cardiac time intervals (… statistical analysis comparing fetuses with …
Hybrid deep learning methodology for fetal cardiac disease prediction
… systematic review of cardiac time intervals utilising non-invasive fetal electrocardiogram in
normal fetuses… Patil, “A hybrid technique for non-invasive fetal ecg extraction and heart rate …
normal fetuses… Patil, “A hybrid technique for non-invasive fetal ecg extraction and heart rate …
Extraction of FECG signal to detect preterm delivery
… Non-invasive foetal electrocardiogram (… fetuses with improved heart morphology. The
incidents were recategorized as earlier than usual pre-term, and the mean value of the PR periods, …
incidents were recategorized as earlier than usual pre-term, and the mean value of the PR periods, …
AI-driven paradigm shift in computerized cardiotocography analysis: A systematic review and promising directions
… morbidity and mortality in both pregnant women and fetuses. … comprehensive review of the
existing literature on fetal heart … labor as a non-invasive method to monitor fetal well-being. It …
existing literature on fetal heart … labor as a non-invasive method to monitor fetal well-being. It …
A non-invasive approach for fetal arrhythmia detection and classification from ecg signals
B Ganguly, A Das, A Ghosal, D Das… - 2020 IEEE VLSI …, 2020 - ieeexplore.ieee.org
… Obtaining the fetal ECG and monitoring the fetal heart rate (f… detection using ECG
morphological and interval features, with an … The present work utilises a normalised least mean …
morphological and interval features, with an … The present work utilises a normalised least mean …
Fetal Electrocardiogram Extraction Using Adaptive Filters Approach
… The non-invasive analysis of fetal cardiac signals … intervals under a variety of normal and
pathological circumstances. The challenge of fetal motion tracking utilizing non-invasive ECG …
pathological circumstances. The challenge of fetal motion tracking utilizing non-invasive ECG …
[PDF][PDF] Fetal Cardiac Arrhythmia Detection using enhanced Blind Source Separation Technique
M Sajeer - ijiie.org
… accurate fetal ECG characteristics like peaks, intervals and … , they implemented non-invasive
fetal ECG extraction by … fetuses. In [27], Doppler imaging is another method that can …
fetal ECG extraction by … fetuses. In [27], Doppler imaging is another method that can …
Binarized spiking neural network optimized with momentum search algorithm for fetal arrhythmia detection and classification from ECG signals
… non-invasive fetal arrhythmia monitoring in order to collect … is deliberated as: Literature
survey is reviewed in part 2, the … To identify pathological fetuses, this work builds Fetal Cardiac …
survey is reviewed in part 2, the … To identify pathological fetuses, this work builds Fetal Cardiac …
[HTML][HTML] Deep learning identifies cardiac coupling between mother and fetus during gestation
M Alkhodari, N Widatalla, M Wahbah… - … in Cardiovascular …, 2022 - frontiersin.org
… on 1 min non-invasive electrocardiography (ECG) to explain … –3 minutes time interval (deep
learning prediction was [1:2]). … , this is the first study to explore the feasibility of utilizing deep …
learning prediction was [1:2]). … , this is the first study to explore the feasibility of utilizing deep …