Assessment of features for automatic CTG analysis based on expert Annotation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F11%3A%230001549" target="_blank" >RIV/65269705:_____/11:#0001549 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/11:00203843 RIV/68407700:21230/11:00310219
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6091495" target="_blank" >http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6091495</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IEMBS.2011.6091495" target="_blank" >10.1109/IEMBS.2011.6091495</a>
Alternative languages
Result language
angličtina
Original language name
Assessment of features for automatic CTG analysis based on expert Annotation
Original language description
Cardiotocography (CTG) is the monitoring of fetal heart rate (FHR) and uterine contractions (TOCO) since 1960's used routinely by obstetricians to detect fetal hypoxia. The evaluation of the FHR in clinical settings is based on an evaluation of macroscopic morphological features and so far has managed to avoid adopting any achievements from the HRV research field. In this work, most of the ever-used features utilized for FHR characterization, including FIGO, HRV, nonlinear, wavelet, and time and frequency domain features, are investigated and the features are assessed based on their statistical significance in the task of distinguishing the FHR into three FIGO classes. Annotation derived from the panel of experts instead of the commonly utilized pH values was used for evaluation of the features on a large data set (552 records). We conclude the paper by presenting the best uncorrelated features and their individual rank of importance according to the meta-analysis of three different ra
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
FK - Gynaecology and obstetrics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/NT11124" target="_blank" >NT11124: Impact of Cardiotocography evaluation by means of artificial inteligence on perinatal care</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
33rd Annual International Conference of the IEEE EMBS
ISBN
978-1-4244-4122-8
ISSN
1557-170X
e-ISSN
—
Number of pages
4
Pages from-to
6051-6054
Publisher name
IEEE
Place of publication
Boston
Event location
Boston
Event date
Jan 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000298810004242