Adaptive fetal ECG signal extraction based on LabVIEW and C# implementation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244256" target="_blank" >RIV/61989100:27240/19:10244256 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2405896319326369" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896319326369</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2019.12.687" target="_blank" >10.1016/j.ifacol.2019.12.687</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive fetal ECG signal extraction based on LabVIEW and C# implementation
Original language description
This paper deals with the using of adaptive filters in the biological signal processing area. It focuses on the design and implementation of adaptive filters based on virtual instrumentation in the LabVIEW development environment from National Instruments. The experiments are devoted to certain adaptive algorithms (LMS, NLMS, RLS, QR-RLS), which are implemented in LabVIEW and C# programming language in the form of dynamically linked DLL libraries. The implemented algorithms are tested in extraction of fetal ECG signal from the abdominal ECG signal of mother. The algorithms are compared in their computation time and the improvement of signal-to-noise ratio (SNR) value. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFAC-PapersOnLine. Volume 52, Issue 27
ISBN
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ISSN
2405-8963
e-ISSN
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Number of pages
6
Pages from-to
359-364
Publisher name
Elsevier
Place of publication
Amsterdam
Event location
Vysoké Tatry
Event date
Oct 29, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000507495200061