Document Detail


Classification of normal and hypoxic fetuses from systems modeling of intrapartum cardiotocography.
MedLine Citation:
PMID:  20659819     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Recording of maternal uterine pressure (UP) and fetal heart rate (FHR) during labor and delivery is a procedure referred to as cardiotocography. We modeled this signal pair as an input-output system using a system identification approach to estimate their dynamic relation in terms of an impulse response function. We also modeled FHR baseline with a linear fit and FHR variability unrelated to UP using the power spectral density, computed from an auto-regressive model. Using a perinatal database of normal and pathological cases, we trained support-vector-machine classifiers with feature sets from these models. We used the classification in a detection process. We obtained the best results with a detector that combined the decisions of classifiers using both feature sets. It detected half of the pathological cases, with very few false positives (7.5%), 1 h and 40 min before delivery. This would leave sufficient time for an appropriate clinical response. These results clearly demonstrate the utility of our method for the early detection of cases needing clinical intervention.
Authors:
Philip A Warrick; Emily F Hamilton; Doina Precup; Robert E Kearney
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  57     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-07-27     Completed Date:  2010-11-05     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  771-9     Citation Subset:  IM    
Affiliation:
Biomedical Engineering Department, McGill University, Montreal, QC H3A 2B4, Canada.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Cardiotocography / methods*
Databases, Factual
Female
Fetal Hypoxia / diagnosis*
Fetus / metabolism*
Humans
Models, Biological
Obstetric Labor Complications / diagnosis*
Pregnancy
ROC Curve
Regression Analysis
Signal Processing, Computer-Assisted*
Uterine Monitoring

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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