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

Result code in 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>
Alternative codes found
RIV/68407700:21230/12:00194921 RIV/00216224:14110/12:00063998
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Stability of Variability Features Computed from Fetal Heart Rate with Artificially Infused Missing Data
Original language description
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
Czech name
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Czech description
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Project
<a href="/en/project/NT11124" target="_blank" >NT11124: Impact of Cardiotocography evaluation by means of artificial inteligence on perinatal care</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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