Non-adaptive methods for fetal ECG signal processing: A review and appraisal
Fetal electrocardiography is among the most promising methods of modern electronic fetal
monitoring. However, before they can be fully deployed in the clinical practice as a gold …
monitoring. However, before they can be fully deployed in the clinical practice as a gold …
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 …
the morphological analysis of fetal ECG signals lags farther behind and demands much …
Non-invasive fetal monitoring: A maternal surface ECG electrode placement-based novel approach for optimization of adaptive filter control parameters using the LMS …
This paper is focused on the design, implementation and verification of a novel method for
the optimization of the control parameters (such as step size μ and filter order N) of LMS and …
the optimization of the control parameters (such as step size μ and filter order N) of LMS and …
[HTML][HTML] Relevance of polynomial matrix decompositions to broadband blind signal separation
The polynomial matrix EVD (PEVD) is an extension of the conventional eigenvalue
decomposition (EVD) to polynomial matrices. The purpose of this article is to provide a …
decomposition (EVD) to polynomial matrices. The purpose of this article is to provide a …
[PDF][PDF] Fetal ECG signal processing and identification of hypoxic pregnancy conditions in-utero
The fetal heart rate (fHR) variability and fetal electrocardiogram (fECG) are considered the
most important sources of information about fetal wellbeing. Non-invasive fetal monitoring …
most important sources of information about fetal wellbeing. Non-invasive fetal monitoring …
Fetal electrocardiography extraction based on improved fast independent components analysis algorithm
T Li - Critical Reviews™ in Biomedical Engineering, 2021 - dl.begellhouse.com
Aiming at the problem that the fast independent components analysis (ICA) algorithm is
sensitive to the initial value and easy to fall into local optimization, an improved fast ICA …
sensitive to the initial value and easy to fall into local optimization, an improved fast ICA …
Broadband subspace decomposition of convoluted speech data using polynomial EVD algorithms
Y Karuna, GR Reddy - Multimedia Tools and Applications, 2020 - Springer
Abstract The Polynomial EVD (PEVD) was developed to achieve broadband subspace
decomposition as a part of two-stage convolutive Blind Source Separation (BSS) algorithm …
decomposition as a part of two-stage convolutive Blind Source Separation (BSS) algorithm …
[HTML][HTML] 无创胎儿心电图信号采集方法
曹雪， 刘俊艳， 曲文博， 孙丽秀， 刘炳辰 - Advances in Clinical …, 2019 - hanspub.org
胎儿心电图是目前最具前景的胎儿监测方法之一. 然而, 临床中将之作为胎儿心律失常等疾病
诊断的金标准之前, 必须要解决高质量心电信号采集问题. 在过去的20 年里 …
诊断的金标准之前, 必须要解决高质量心电信号采集问题. 在过去的20 年里 …
Application of the sequential matrix diagonalization algorithm to high-dimensional functional MRI data
M Carcenac, S Redif - Computational Statistics, 2020 - Springer
This paper introduces an adaptation of the sequential matrix diagonalization (SMD) method
to high-dimensional functional magnetic resonance imaging (fMRI) data. SMD is currently …
to high-dimensional functional magnetic resonance imaging (fMRI) data. SMD is currently …
Detection of grid voltage anomalies via broadband subspace decompositon
Due to the increase of sensitive loads on the mains power grid, measurement and
monitoring of the power quality (PQ) have become an important factor for both consumers …
monitoring of the power quality (PQ) have become an important factor for both consumers …