Adaptive Signal Processing Techniques for Extracting Abdominal Fetal Electrocardiogram

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098259" target="_blank" >RIV/61989100:27240/16:86098259 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.researchgate.net/profile/Radek_Martinek2/publication/308568311_Adaptive_signal_processing_techniques_for_extracting_abdominal_fetal_electrocardiogram/links/57eca42508ae93b7fa959a4c.pdf" target="_blank" >https://www.researchgate.net/profile/Radek_Martinek2/publication/308568311_Adaptive_signal_processing_techniques_for_extracting_abdominal_fetal_electrocardiogram/links/57eca42508ae93b7fa959a4c.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CSNDSP.2016.7573974" target="_blank" >10.1109/CSNDSP.2016.7573974</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive Signal Processing Techniques for Extracting Abdominal Fetal Electrocardiogram

Popis výsledku v původním jazyce

The extraction of the Fetal Electrocardiogram (fECG) from the composite Electrocardiogram (ECG) signal obtained from the abdominal lead is discussed. The main point of this paper is to introduce some of the most used Least Mean Squares (LMS) based Finite Impulse Response (FIR) Adaptive Filters and to determine which of them are the most effective under varying circumstances. Experimental results suggest the ideal combination of the chosen settings for these functions. Results of fECG extraction are assessed by Percentage Root-Mean-Square Difference (PRD), input and output Signal to Noise Ratios (SNRs), and Root Mean Square Error (RMSE). Based on simulations conclusions, optimal convergence constant value and filter order were empirically determined. Setting the optimal value of the convergence constant and filter order of adaptive algorithm can be considered a contribution to original results. These results can be used on real records fECG, where it is difficult to determine because of the missing reference.

Název v anglickém jazyce

Adaptive Signal Processing Techniques for Extracting Abdominal Fetal Electrocardiogram

Popis výsledku anglicky

The extraction of the Fetal Electrocardiogram (fECG) from the composite Electrocardiogram (ECG) signal obtained from the abdominal lead is discussed. The main point of this paper is to introduce some of the most used Least Mean Squares (LMS) based Finite Impulse Response (FIR) Adaptive Filters and to determine which of them are the most effective under varying circumstances. Experimental results suggest the ideal combination of the chosen settings for these functions. Results of fECG extraction are assessed by Percentage Root-Mean-Square Difference (PRD), input and output Signal to Noise Ratios (SNRs), and Root Mean Square Error (RMSE). Based on simulations conclusions, optimal convergence constant value and filter order were empirically determined. Setting the optimal value of the convergence constant and filter order of adaptive algorithm can be considered a contribution to original results. These results can be used on real records fECG, where it is difficult to determine because of the missing reference.

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

2016 10TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING (CSNDSP)

ISBN

978-1-5090-2526-8

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

NEW YORK

Místo konání akce

Prague

Datum konání akce

20. 7. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000386781300078