Non-Invasive Foetal Electrocardiogram (ECG) Extraction Using Abdominal Electrocardiogram of the Mother
ES Kumar, P Thanapal, NS Kiran… - … on Innovations in …, 2023 - ieeexplore.ieee.org
… to retrieve ECG data from several foetuses. As a result, this … The RR interval is the sole
thing that the fast ICA algorithm … Systematic analysis of single-and multi-reference adaptive …
thing that the fast ICA algorithm … Systematic analysis of single-and multi-reference adaptive …
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,” …
Power-MF: robust fetal QRS detection from non-invasive fetal electrocardiogram recordings
… of non-invasive fetal electrocardiography shows promise as a new sensing technology for
fetal cardiac … From the detected fetal QRS, the RR intervals are calculated, and a segment is …
fetal cardiac … From the detected fetal QRS, the RR intervals are calculated, and a segment is …
[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 …
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 …
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, …
[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 …
Cardiograms and Electrography Are Crucial Diagnostic Procedures In Pregnant Women
RRY Kizi - Health & Medical Sciences, 2024 - digital-science.pubmedia.id
… The results of this study demonstrate that non-invasive fetal electrocardiography (ECG)
monitoring using the Monica … The foetal cardiac time intervals of the two foetuses with aberrant …
monitoring using the Monica … The foetal cardiac time intervals of the two foetuses with aberrant …
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 …
One-dimensional W-NETR for non-invasive single channel fetal ECG extraction
M Almadani, L Hadjileontiadis… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
… check on the embryonic heart. Methods of non-invasively … ] have provided their approach
utilizing the semi-supervised cycle … extracted standard deviation of NN intervals (SDNN) and the …
utilizing the semi-supervised cycle … extracted standard deviation of NN intervals (SDNN) and the …