Document Detail

Computerised intrapartum diagnosis of fetal hypoxia based on fetal heart rate monitoring and fetal pulse oximetry recordings utilising wavelet analysis and neural networks.
MedLine Citation:
PMID:  12387467     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: To develop a computerised system that will assist the early diagnosis of fetal hypoxia and to investigate the relationship between the fetal heart rate variability and the fetal pulse oximetry recordings. DESIGN: Retrospective off-line analysis of cardiotocogram and FSpO2 recordings. SETTING: The Maternity Unit of the 2nd Department of Obstetrics and Gynaecology, Aretaieion Hospital, University of Athens. POPULATION: Sixty-one women of more than 37 weeks of gestation were monitored throughout labour. METHODS: Multiresolution wavelet analysis was applied in each 10-minute period of second stage of labour focussing on long term variability changes in different frequency ranges and statistical analysis was performed in the associated 10-minute FSpO2 recordings. Self-organising map neural network was used to categorise the different 10-minute fetal heart rate patterns and the associated 10-minute FSpO2 recordings. MAIN OUTCOME MEASURES: Umbilical artery pH of < or = 7.20 and Apgar score at 5 minutes of < or = 7 formed the inclusion criteria of the risk group. RESULTS: After using k-means clustering algorithm, the two-dimensional output layer of the self-organising map neural network was divided into three distinct clusters. All the cases that mapped in cluster 3 belonged in the risk group except one. The sensitivity of the system was 83.3% and the specificity 97.9% for the detection of risk group cases. CONCLUSIONS: A relationship between the fetal heart rate variability in different frequency ranges and the time in which FSpO2 is less than 30% was noticed. Fetal pulse oximetry seems to be an important additional source of information. Computerised analysis of the fetal heart rate monitoring and pulse oximetry recordings is a promising technique in objective intrapartum diagnosis of fetal hypoxia. Further evaluation of this technique is mandatory to evaluate its efficacy and reliability in interpreting fetal heart rate recordings.
E Salamalekis; P Thomopoulos; D Giannaris; I Salloum; G Vasios; A Prentza; D Koutsouris
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  BJOG : an international journal of obstetrics and gynaecology     Volume:  109     ISSN:  1470-0328     ISO Abbreviation:  BJOG     Publication Date:  2002 Oct 
Date Detail:
Created Date:  2002-10-21     Completed Date:  2002-11-18     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  100935741     Medline TA:  BJOG     Country:  England    
Other Details:
Languages:  eng     Pagination:  1137-42     Citation Subset:  AIM; IM    
Maternity Unit of the 2nd Department of Obstetrics and Gynaecology, Aretaieion Hospital, University of Athens, Greece.
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MeSH Terms
Cardiotocography / methods*
Diagnosis, Computer-Assisted / methods
Fetal Hypoxia / blood,  diagnosis*
Heart Rate, Fetal / physiology*
Neural Networks (Computer)
Oximetry / methods
Oxygen / blood
Prenatal Diagnosis / methods*
Retrospective Studies
Sensitivity and Specificity
Reg. No./Substance:

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