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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 standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263968/ https://www.ncbi.nlm.nih.gov/pubmed/30373259 http://dx.doi.org/10.3390/s18113648 |
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author | Jaros, Rene Martinek, Radek Kahankova, Radana |
author_facet | Jaros, Rene Martinek, Radek Kahankova, Radana |
author_sort | Jaros, Rene |
collection | PubMed |
description | 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 standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount of articles dealing with improving the quality of the fetal electrocardiogram signal acquired from the abdominal recordings have been introduced. This article aims to present an extensive literature survey of different non-adaptive signal processing methods applied for fetal electrocardiogram extraction and enhancement. It is limiting that a different non-adaptive method works well for each type of signal, but independent component analysis, principal component analysis and wavelet transforms are the most commonly published methods of signal processing and have good accuracy and speed of algorithms. |
format | Online Article Text |
id | pubmed-6263968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62639682018-12-12 Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal Jaros, Rene Martinek, Radek Kahankova, Radana Sensors (Basel) Review 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 standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount of articles dealing with improving the quality of the fetal electrocardiogram signal acquired from the abdominal recordings have been introduced. This article aims to present an extensive literature survey of different non-adaptive signal processing methods applied for fetal electrocardiogram extraction and enhancement. It is limiting that a different non-adaptive method works well for each type of signal, but independent component analysis, principal component analysis and wavelet transforms are the most commonly published methods of signal processing and have good accuracy and speed of algorithms. MDPI 2018-10-27 /pmc/articles/PMC6263968/ /pubmed/30373259 http://dx.doi.org/10.3390/s18113648 Text en © 2018 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 | Review Jaros, Rene Martinek, Radek Kahankova, Radana Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal |
title | Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal |
title_full | Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal |
title_fullStr | Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal |
title_full_unstemmed | Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal |
title_short | Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal |
title_sort | non-adaptive methods for fetal ecg signal processing: a review and appraisal |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263968/ https://www.ncbi.nlm.nih.gov/pubmed/30373259 http://dx.doi.org/10.3390/s18113648 |
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