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Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal
R. Jaros, R. Martinek, R. Kahankova,
Language English Country Switzerland
Document type Journal Article, Review
NLK
Directory of Open Access Journals
from 2001
PubMed Central
from 2003
Europe PubMed Central
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ProQuest Central
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PubMed
30373259
DOI
10.3390/s18113648
Knihovny.cz E-resources
- MeSH
- Algorithms MeSH
- Principal Component Analysis MeSH
- Electrodes MeSH
- Electrocardiography methods MeSH
- Humans MeSH
- Fetus physiology MeSH
- Signal Processing, Computer-Assisted * MeSH
- Wavelet Analysis MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
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.
References provided by Crossref.org
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- $a Jaros, Rene $u Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic. rene.jaros@vsb.cz.
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- $a 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.
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- $a Kahankova, Radana $u Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic. radana.kahankova@vsb.cz.
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