Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jaros, Rene, Martinek, Radek, Kahankova, Radana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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
_version_ 1783375387911258112
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
work_keys_str_mv AT jarosrene nonadaptivemethodsforfetalecgsignalprocessingareviewandappraisal
AT martinekradek nonadaptivemethodsforfetalecgsignalprocessingareviewandappraisal
AT kahankovaradana nonadaptivemethodsforfetalecgsignalprocessingareviewandappraisal