Optimization of RLS Algorithm for Hybrid Method ICA-RLS

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Optimization of RLS Algorithm for Hybrid Method ICA-RLS
Original language description
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.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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