Non-invasive fetal ECG extraction from maternal abdominal ECG using LMS and RLS adaptive algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241640" target="_blank" >RIV/61989100:27240/18:10241640 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-60834-1_27" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-60834-1_27</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-60834-1_27" target="_blank" >10.1007/978-3-319-60834-1_27</a>
Alternative languages
Result language
angličtina
Original language name
Non-invasive fetal ECG extraction from maternal abdominal ECG using LMS and RLS adaptive algorithms
Original language description
This paper focuses on the fetal electrocardiogram (fECG) recorded transabdominally. This method could become very efficient and essential tool in monitoring and diagnosing endangered fetuses during the pregnancy and the delivery. The greatest challenge connected with this kind of monitoring is the amount of noise that is recorded within the desired signal. Thus, the extraction of the fECG from the composite abdominal signal is discussed. The authors' aim is to introduce the most suitable representatives from the Least Mean Squares (LMS) and Recursive Least Square (RLS) based Finite Impulse Response (FIR) Adaptive Filters. Experimental results suggest the ideal combination of the chosen filters' settings (Step size, filter length, forgetting factor etc.). Results of fECG extraction are evaluated by the objective parameters, namely Percentage Root-Mean-Square Difference (PRD), input and output Signal to Noise Ratios (SNRs), and Root Mean Square Error (RMSE). (C) 2018, Springer International Publishing AG.
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
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in intelligent systems and computing. Volume 565
ISBN
978-3-319-60833-4
ISSN
2194-5357
e-ISSN
neuvedeno
Number of pages
14
Pages from-to
258-271
Publisher name
Springer
Place of publication
Berlin
Event location
Marrákeš
Event date
Nov 21, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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