Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10250047" target="_blank" >RIV/61989100:27240/22:10250047 - isvavai.cz</a>

Result on the web

<a href="https://journals.plos.org/plosone/article/comments?id=10.1371/journal.pone.0266807" target="_blank" >https://journals.plos.org/plosone/article/comments?id=10.1371/journal.pone.0266807</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1371/journal.pone.0266807" target="_blank" >10.1371/journal.pone.0266807</a>

Result language

angličtina

Original language name

Optimization of adaptive filter control parameters for non-invasive fetal electrocardiogram extraction

Original language description

This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters of different hybrid systems used for non-invasive fetal electrocardiogram (fECG) extraction. The tested hybrid systems consist of two different blocks, first for maternal component estimation and second, so-called adaptive block, for maternal component suppression by means of an adaptive algorithm (AA). Herein, we tested and optimized four different AAs: Adaptive Linear Neuron (ADALINE), Standard Least Mean Squares (LMS), Sign-Error LMS, Standard Recursive Least Squares (RLS), and Fast Transversal Filter (FTF). The main criterion for optimal parameter selection was the F1 parameter. We conducted experiments using real signals from publicly available databases and those acquired by our own measurements. Our optimization method enabled us to find the corresponding optimal settings for individual adaptive block of all tested hybrid systems which improves achieved results. These improvements in turn could lead to a more accurate fetal heart rate monitoring and detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to find optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing and analysis, opening new diagnostic possibilities of non-invasive fetal electrocardiography.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

<a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

PLoS One

ISSN

1932-6203

e-ISSN

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Volume of the periodical

17

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

23

Pages from-to

nestrankovano

UT code for WoS article

000795158700040

EID of the result in the Scopus database

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