Fetal ECG Signal Processing by Different ICA-based Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10245424" target="_blank" >RIV/61989100:27240/19:10245424 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9069725" target="_blank" >https://ieeexplore.ieee.org/document/9069725</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISAECT47714.2019.9069725" target="_blank" >10.1109/ISAECT47714.2019.9069725</a>
Alternative languages
Result language
angličtina
Original language name
Fetal ECG Signal Processing by Different ICA-based Algorithms
Original language description
This article deals with fetal electrocardiography (fECG) processing using independent component analysis (ICA). Testing is performed on 7 synthetic recordings with a different level of signal-to-noise ratio (SNR) and the evaluation is performed on calculation of improvement SNR and root mean square error (RMSE). The experiment was based on testing multiple algorithms based on the ICA method, such as the algorithm based on kurtosis value, the algorithm based on negentropy value and the algorithm called kurtosis maximization ICA. The results showed that all ICA-based algorithms a lot improve SNR and have a low value of RMSE, which indicates that signals after filtration are almost similar to the reference signals. All three ICA-based algorithms could be used for fECG extraction, but the lowest accuracy was achieved by the algorithm called kurtosis maximization ICA. (C) 2019 IEEE.
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
20205 - Automation and control systems
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
2019 International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2019
ISBN
978-1-72813-729-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Řím
Event date
Nov 27, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000569987700054