A comprehensive survey on signal processing and machine learning techniques for non-invasive fetal ECG extraction

JDK Abel, S Dhanalakshmi, R Kumar - Multimedia Tools and Applications, 2023 - Springer
Despite the rapid growth in the area of adult ECG signal processing and monitoring systems,
the morphological analysis of fetal ECG signals lags farther behind and demands much …

Fetal electrocardiogram extraction using dual-path source separation of single-channel non-invasive abdominal recordings

A Shokouhmand, N Tavassolian - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Objective: The development of a method for non-invasive monitoring of fetal
electrocardiogram (FECG) signals from single-channel abdominal recordings. Methods: The …

[HTML][HTML] An IoMT enabled deep learning framework for automatic detection of fetal QRS: A solution to remote prenatal care

AJD Krupa, S Dhanalakshmi, KW Lai, Y Tan… - Journal of King Saud …, 2022 - Elsevier
The amalgamation of the Internet of medical things with artificial intelligence shows
tremendous benefits in health care. Accurate detection of the fetal QRS complex is highly …

Extraction of fetal ECG from abdominal and thorax ECG using a non-causal adaptive filter architecture

E Dhas, M Suchetha - IEEE Transactions on Biomedical Circuits …, 2022 - ieeexplore.ieee.org
Extracting the Electrocardiogram (ECG) of a fetus from the ECG signal of the maternal
abdomen is a challenging task due to different artifacts. The paper proposes a-tap non …

Template subtraction based methods for non-invasive fetal electrocardiography extraction

R Jaros, E Tomicova, R Martinek - Scientific Reports, 2024 - nature.com
Assessment of fetal heart rate (fHR) through non-invasive fetal electrocardiogram (fECG) is
challenging task. This study compares the performance of five template subtraction (TS) …

Energy Dependent RLS Architecture for the Separation of Fetal ECG using Thoracic and Abdominal Lead ECG of Mother

DE Dhas, M Suchetha - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
This article proposes a fetal electrocardiogram (FECG) separation approach based on an
energy-dependent recursive least-square (RLS) filtering approach that uses the mother's R …

A novel Discrete Artificial Bee Colony algorithm combined with adaptive filtering to extract Fetal Electrocardiogram signals

QW Chai, L Kong, JS Pan, WM Zheng - Expert Systems with Applications, 2024 - Elsevier
Abstract The Fetal Electrocardiogram (FECG) signal plays a crucial role in monitoring the
health of the fetus, but there are numerous challenges in eliminating the maternal thorax …

Fetal ECG extraction using savitzky-golay and butterworth filters

HSH Siew, YS Alshebly, M Nafea - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The health and well-being of a fetus can be conducted by constantly monitoring its cardiac
activity while in pregnancy. The cardiac movement of the mother and fetus can be monitored …

Elicitation of fetal ECG from abdominal recordings using Blind Source Separation techniques and Robust Set Membership Affine Projection algorithm for signal quality …

S Diwan, M Sahu, V Bhateja - Computers in Biology and Medicine, 2024 - Elsevier
Background: The utilization of non-invasive techniques for fetal cardiac health surveillance
is pivotal in evaluating fetal well-being throughout the gestational period. This process …

A novel hybrid method for calculating the fetal heart rate from the non-invasive abdominal Electrocardiogram signal

B Samuel, MK Hota - Biomedical Signal Processing and Control, 2024 - Elsevier
Continuous monitoring of fetal health requires the accurate calculation of the Fetal Heart
Rate (FHR) by efficiently isolating fetal Electrocardiogram (fECG) from non-invasive …