Evaluation of Fetal Heart Rate Recordings Based on Clustering

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00222198" target="_blank" >RIV/68407700:21230/14:00222198 - isvavai.cz</a>

Výsledek na webu

<a href="http://cinc.org/archives/2014/pdf/0621.pdf" target="_blank" >http://cinc.org/archives/2014/pdf/0621.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of Fetal Heart Rate Recordings Based on Clustering

Popis výsledku v původním jazyce

Fetal heart rate (FHR) recorded within the cardiotocography (CTG) measurement is currently the main method to evaluate fetal health state during delivery. The CTG provides valuable information about fetal behavior as a reaction to stressful events (hypoxic episodes). The presented paper proposes to use data driven analysis of FHR ? the clustering analysis of features derived automatically from the signal using novel method of signal approximation called SAX. Even though the clustering is well grounded in signal processing tasks in the field of FHR research it is used sparingly due to high inter-individual variability of fetuses and difficulties to link different temporal events. Data from the open access CTU-UHB database (552 CTG records) available atthe Physionet are used and the 30 minutes segments at the end of the first stage of labor are analyzed. The classification based on clustering achieved sensitivity of 58.7% and specificity of 69.4% for the two class classification ? well

Název v anglickém jazyce

Evaluation of Fetal Heart Rate Recordings Based on Clustering

Popis výsledku anglicky

Fetal heart rate (FHR) recorded within the cardiotocography (CTG) measurement is currently the main method to evaluate fetal health state during delivery. The CTG provides valuable information about fetal behavior as a reaction to stressful events (hypoxic episodes). The presented paper proposes to use data driven analysis of FHR ? the clustering analysis of features derived automatically from the signal using novel method of signal approximation called SAX. Even though the clustering is well grounded in signal processing tasks in the field of FHR research it is used sparingly due to high inter-individual variability of fetuses and difficulties to link different temporal events. Data from the open access CTU-UHB database (552 CTG records) available atthe Physionet are used and the 30 minutes segments at the end of the first stage of labor are analyzed. The classification based on clustering achieved sensitivity of 58.7% and specificity of 69.4% for the two class classification ? well

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computing in Cardiology - 41st Annual Conference Computing in Cardiology

ISBN

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ISSN

2325-8861

e-ISSN

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Počet stran výsledku

4

Strana od-do

621-624

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Cambridge

Datum konání akce

7. 9. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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