Optimization of RLS Algorithm for Hybrid Method ICA-RLS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244198" target="_blank" >RIV/61989100:27240/19:10244198 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/journal/ifac-papersonline/vol/52/issue/27" target="_blank" >https://www.sciencedirect.com/journal/ifac-papersonline/vol/52/issue/27</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2019.12.718" target="_blank" >10.1016/j.ifacol.2019.12.718</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimization of RLS Algorithm for Hybrid Method ICA-RLS
Popis výsledku v původním jazyce
This paper deals with a design and implementation of a new approach to the extraction of fetal electrocardiography (fECG) signal by hybrid method combining independent component analysis (ICA) and adaptive algorithm based on recursive optimal adaptation (Recursive Least Square, RLS). The abdominal and direct fetal electrocardiogram database (ADFECGDB) was selected for the validation based on estimation of detection accuracy (ACC) relative to the reference signal recorded by means of fetal scalp electrode. The paper provides the tests of the RLS-based filter order setting in the range of 2 to 100 as well as optimization of the input channel combination to achieve the most accurate detection. In total, 11 electrode combinations were created out of 4 abdominal channels, and tested as the inputs of the ICARLS hybrid method. The results show that the method is very promising. The highest score was achieved for recording r01 ACC = 99.228 % with combination of input channels 1, 2, and 3 along with the RLS algorithm filter order 4. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Název v anglickém jazyce
Optimization of RLS Algorithm for Hybrid Method ICA-RLS
Popis výsledku anglicky
This paper deals with a design and implementation of a new approach to the extraction of fetal electrocardiography (fECG) signal by hybrid method combining independent component analysis (ICA) and adaptive algorithm based on recursive optimal adaptation (Recursive Least Square, RLS). The abdominal and direct fetal electrocardiogram database (ADFECGDB) was selected for the validation based on estimation of detection accuracy (ACC) relative to the reference signal recorded by means of fetal scalp electrode. The paper provides the tests of the RLS-based filter order setting in the range of 2 to 100 as well as optimization of the input channel combination to achieve the most accurate detection. In total, 11 electrode combinations were created out of 4 abdominal channels, and tested as the inputs of the ICARLS hybrid method. The results show that the method is very promising. The highest score was achieved for recording r01 ACC = 99.228 % with combination of input channels 1, 2, and 3 along with the RLS algorithm filter order 4. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
IFAC-PapersOnLine. Volume 52, Issue 27
ISBN
—
ISSN
2405-8963
e-ISSN
—
Počet stran výsledku
6
Strana od-do
530-535
Název nakladatele
Elsevier
Místo vydání
Amsterdam
Místo konání akce
Vysoké Tatry
Datum konání akce
29. 10. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000507495200089