The influence of gestation age on the performance of adaptive algorithms used for fetal ecg signal extraction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238293" target="_blank" >RIV/61989100:27240/17:10238293 - isvavai.cz</a>

Výsledek na webu

<a href="http://advances.vsb.cz/index.php/AEEE/article/view/2207" target="_blank" >http://advances.vsb.cz/index.php/AEEE/article/view/2207</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15598/aeee.v15i3.2207" target="_blank" >10.15598/aeee.v15i3.2207</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The influence of gestation age on the performance of adaptive algorithms used for fetal ecg signal extraction

Popis výsledku v původním jazyce

The main aims of this paper are to study the influence of the Gestation Age (GA) on the quality of recorded abdominal ECG (aECG) signals and to evaluate the performance of the LMS and RLS adaptive signal processing algorithms in the extraction of the fetal ECG (fECG) signal component from such signals. This influence is quantified as a function of the Signal-to-Noise Ratio (SNR). Our research shows that these adaptive algorithms with optimized settings can successfully be applied to extract fECG signals from the maternal aECG signals as early as the 30th week of GA, hence addressing a limitation (37 weeks or la-bor) in commercially available monitoring systems. We demonstrate that before this gestational age, the SNR of the maternal aECG signal is too low for these adaptive algorithms to work effectively and produce satisfactory results. © 2017 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING.

Název v anglickém jazyce

The influence of gestation age on the performance of adaptive algorithms used for fetal ecg signal extraction

Popis výsledku anglicky

The main aims of this paper are to study the influence of the Gestation Age (GA) on the quality of recorded abdominal ECG (aECG) signals and to evaluate the performance of the LMS and RLS adaptive signal processing algorithms in the extraction of the fetal ECG (fECG) signal component from such signals. This influence is quantified as a function of the Signal-to-Noise Ratio (SNR). Our research shows that these adaptive algorithms with optimized settings can successfully be applied to extract fECG signals from the maternal aECG signals as early as the 30th week of GA, hence addressing a limitation (37 weeks or la-bor) in commercially available monitoring systems. We demonstrate that before this gestational age, the SNR of the maternal aECG signal is too low for these adaptive algorithms to work effectively and produce satisfactory results. © 2017 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Advances in Electrical and Electronic Engineering

ISSN

1336-1376

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

491-501

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85030540350