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Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms
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 [Formula: see text] and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470900/ https://www.ncbi.nlm.nih.gov/pubmed/28534810 http://dx.doi.org/10.3390/s17051154 |
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author | Martinek, Radek Kahankova, Radana Nazeran, Homer Konecny, Jaromir Jezewski, Janusz Janku, Petr Bilik, Petr Zidek, Jan Nedoma, Jan Fajkus, Marcel |
author_facet | Martinek, Radek Kahankova, Radana Nazeran, Homer Konecny, Jaromir Jezewski, Janusz Janku, Petr Bilik, Petr Zidek, Jan Nedoma, Jan Fajkus, Marcel |
author_sort | Martinek, Radek |
collection | PubMed |
description | 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 [Formula: see text] and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven by considering the ECG electrode positions on the maternal body surface in improving the performance of these adaptive filters. The main criterion for optimal parameter selection was the Signal-to-Noise Ratio (SNR). We conducted experiments using signals supplied by the latest version of our LabVIEW-Based Multi-Channel Non-Invasive Abdominal Maternal-Fetal Electrocardiogram Signal Generator, which provides the flexibility and capability of modeling the principal distribution of maternal/fetal ECGs in the human body. Our novel algorithm enabled us to find the optimal settings of the adaptive filters based on maternal surface ECG electrode placements. The experimental results further confirmed the theoretical assumption that the optimal settings of these adaptive filters are dependent on the ECG electrode positions on the maternal body, and therefore, we were able to achieve far better results than without the use of optimization. These improvements in turn could lead to a more accurate detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to establish recommendations for standard electrode placement and find the optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing. Ultimately, diagnostic-grade fetal ECG signals would ensure the reliable detection of fetal hypoxia. |
format | Online Article Text |
id | pubmed-5470900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54709002017-06-16 Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms Martinek, Radek Kahankova, Radana Nazeran, Homer Konecny, Jaromir Jezewski, Janusz Janku, Petr Bilik, Petr Zidek, Jan Nedoma, Jan Fajkus, Marcel Sensors (Basel) Article 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 [Formula: see text] and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven by considering the ECG electrode positions on the maternal body surface in improving the performance of these adaptive filters. The main criterion for optimal parameter selection was the Signal-to-Noise Ratio (SNR). We conducted experiments using signals supplied by the latest version of our LabVIEW-Based Multi-Channel Non-Invasive Abdominal Maternal-Fetal Electrocardiogram Signal Generator, which provides the flexibility and capability of modeling the principal distribution of maternal/fetal ECGs in the human body. Our novel algorithm enabled us to find the optimal settings of the adaptive filters based on maternal surface ECG electrode placements. The experimental results further confirmed the theoretical assumption that the optimal settings of these adaptive filters are dependent on the ECG electrode positions on the maternal body, and therefore, we were able to achieve far better results than without the use of optimization. These improvements in turn could lead to a more accurate detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to establish recommendations for standard electrode placement and find the optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing. Ultimately, diagnostic-grade fetal ECG signals would ensure the reliable detection of fetal hypoxia. MDPI 2017-05-19 /pmc/articles/PMC5470900/ /pubmed/28534810 http://dx.doi.org/10.3390/s17051154 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Martinek, Radek Kahankova, Radana Nazeran, Homer Konecny, Jaromir Jezewski, Janusz Janku, Petr Bilik, Petr Zidek, Jan Nedoma, Jan Fajkus, Marcel Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms |
title | Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms |
title_full | Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms |
title_fullStr | Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms |
title_full_unstemmed | Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms |
title_short | Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms |
title_sort | non-invasive fetal monitoring: a maternal surface ecg electrode placement-based novel approach for optimization of adaptive filter control parameters using the lms and rls algorithms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470900/ https://www.ncbi.nlm.nih.gov/pubmed/28534810 http://dx.doi.org/10.3390/s17051154 |
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