The influence of gestation age on the performance of adaptive algorithms used for fetal ecg signal extraction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238293" target="_blank" >RIV/61989100:27240/17:10238293 - isvavai.cz</a>
Result on the web
<a href="http://advances.vsb.cz/index.php/AEEE/article/view/2207" target="_blank" >http://advances.vsb.cz/index.php/AEEE/article/view/2207</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15598/aeee.v15i3.2207" target="_blank" >10.15598/aeee.v15i3.2207</a>
Alternative languages
Result language
angličtina
Original language name
The influence of gestation age on the performance of adaptive algorithms used for fetal ecg signal extraction
Original language description
The main aims of this paper are to study the influence of the Gestation Age (GA) on the quality of recorded abdominal ECG (aECG) signals and to evaluate the performance of the LMS and RLS adaptive signal processing algorithms in the extraction of the fetal ECG (fECG) signal component from such signals. This influence is quantified as a function of the Signal-to-Noise Ratio (SNR). Our research shows that these adaptive algorithms with optimized settings can successfully be applied to extract fECG signals from the maternal aECG signals as early as the 30th week of GA, hence addressing a limitation (37 weeks or la-bor) in commercially available monitoring systems. We demonstrate that before this gestational age, the SNR of the maternal aECG signal is too low for these adaptive algorithms to work effectively and produce satisfactory results. © 2017 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Electrical and Electronic Engineering
ISSN
1336-1376
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
11
Pages from-to
491-501
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85030540350