Stability of Variability Features Computed from Fetal Heart Rate with Artificially Infused Missing Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F12%3A00194921" target="_blank" >RIV/68407700:21220/12:00194921 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/12:00194921 RIV/00216224:14110/12:00063998

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Stability of Variability Features Computed from Fetal Heart Rate with Artificially Infused Missing Data

Popis výsledku v původním jazyce

Fetal heart rate (FHR) is usually the only measurement acquired directly from the fetus during delivery; therefore, any distortion leading to a corrupted signal means difficulties for fetal surveillance. Obstetricians use morphological features for evaluation of FHR that are usually estimated visually. Other type of features are those that are either difficult to estimate visually or can not be estimated by naked eye at all. In this paper we examined several STV (short), LTV (long term variability) features and one nonlinear feature.We compared features for an undistorted and distorted signal with missing samples. We analyzed feature's stability with respect to acquisition technique (ultrasound measurement, direct ECG measurement). The stability of STVindicies were almost identical except standard STV, De Haan index, and Yeh index. These indices changed markedly with increasing percentage of missing samples; Yeh index decreased up to 70% of its nominal value and De Haan index increase

Název v anglickém jazyce

Stability of Variability Features Computed from Fetal Heart Rate with Artificially Infused Missing Data

Popis výsledku anglicky

Fetal heart rate (FHR) is usually the only measurement acquired directly from the fetus during delivery; therefore, any distortion leading to a corrupted signal means difficulties for fetal surveillance. Obstetricians use morphological features for evaluation of FHR that are usually estimated visually. Other type of features are those that are either difficult to estimate visually or can not be estimated by naked eye at all. In this paper we examined several STV (short), LTV (long term variability) features and one nonlinear feature.We compared features for an undistorted and distorted signal with missing samples. We analyzed feature's stability with respect to acquisition technique (ultrasound measurement, direct ECG measurement). The stability of STVindicies were almost identical except standard STV, De Haan index, and Yeh index. These indices changed markedly with increasing percentage of missing samples; Yeh index decreased up to 70% of its nominal value and De Haan index increase

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/NT11124" target="_blank" >NT11124: Vliv hodnocení kardiotokografie pomocí metod umělé inteligence na kvalitu perinatální péče</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computing in Cardiology 2012

ISBN

978-1-4673-2074-0

ISSN

2325-8861

e-ISSN

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Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Krakow

Datum konání akce

9. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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