Non-invasive fetal ECG extraction from maternal abdominal ECG using LMS and RLS adaptive algorithms

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Non-invasive fetal ECG extraction from maternal abdominal ECG using LMS and RLS adaptive algorithms

Popis výsledku v původním jazyce

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&apos; 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&apos; 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.

Název v anglickém jazyce

Non-invasive fetal ECG extraction from maternal abdominal ECG using LMS and RLS adaptive algorithms

Popis výsledku anglicky

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&apos; 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&apos; 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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in intelligent systems and computing. Volume 565

ISBN

978-3-319-60833-4

ISSN

2194-5357

e-ISSN

neuvedeno

Počet stran výsledku

14

Strana od-do

258-271

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Marrákeš

Datum konání akce

21. 11. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—