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Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction

This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters of different hybrid systems used for non-invasive fetal electrocardiogram (fECG) extraction. The tested hybrid systems consist of two different blocks, first for mate...

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Autores principales: Kahankova, Radana, Mikolasova, Martina, Martinek, Radek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000127/
https://www.ncbi.nlm.nih.gov/pubmed/35404946
http://dx.doi.org/10.1371/journal.pone.0266807
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author Kahankova, Radana
Mikolasova, Martina
Martinek, Radek
author_facet Kahankova, Radana
Mikolasova, Martina
Martinek, Radek
author_sort Kahankova, Radana
collection PubMed
description This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters of different hybrid systems used for non-invasive fetal electrocardiogram (fECG) extraction. The tested hybrid systems consist of two different blocks, first for maternal component estimation and second, so-called adaptive block, for maternal component suppression by means of an adaptive algorithm (AA). Herein, we tested and optimized four different AAs: Adaptive Linear Neuron (ADALINE), Standard Least Mean Squares (LMS), Sign-Error LMS, Standard Recursive Least Squares (RLS), and Fast Transversal Filter (FTF). The main criterion for optimal parameter selection was the F1 parameter. We conducted experiments using real signals from publicly available databases and those acquired by our own measurements. Our optimization method enabled us to find the corresponding optimal settings for individual adaptive block of all tested hybrid systems which improves achieved results. These improvements in turn could lead to a more accurate fetal heart rate monitoring and detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to find optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing and analysis, opening new diagnostic possibilities of non-invasive fetal electrocardiography.
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spelling pubmed-90001272022-04-12 Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction Kahankova, Radana Mikolasova, Martina Martinek, Radek PLoS One Research Article This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters of different hybrid systems used for non-invasive fetal electrocardiogram (fECG) extraction. The tested hybrid systems consist of two different blocks, first for maternal component estimation and second, so-called adaptive block, for maternal component suppression by means of an adaptive algorithm (AA). Herein, we tested and optimized four different AAs: Adaptive Linear Neuron (ADALINE), Standard Least Mean Squares (LMS), Sign-Error LMS, Standard Recursive Least Squares (RLS), and Fast Transversal Filter (FTF). The main criterion for optimal parameter selection was the F1 parameter. We conducted experiments using real signals from publicly available databases and those acquired by our own measurements. Our optimization method enabled us to find the corresponding optimal settings for individual adaptive block of all tested hybrid systems which improves achieved results. These improvements in turn could lead to a more accurate fetal heart rate monitoring and detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to find optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing and analysis, opening new diagnostic possibilities of non-invasive fetal electrocardiography. Public Library of Science 2022-04-11 /pmc/articles/PMC9000127/ /pubmed/35404946 http://dx.doi.org/10.1371/journal.pone.0266807 Text en © 2022 Kahankova et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kahankova, Radana
Mikolasova, Martina
Martinek, Radek
Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction
title Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction
title_full Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction
title_fullStr Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction
title_full_unstemmed Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction
title_short Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction
title_sort optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000127/
https://www.ncbi.nlm.nih.gov/pubmed/35404946
http://dx.doi.org/10.1371/journal.pone.0266807
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