Advertisement
Published in:
2012 | OriginalPaper | Chapter
Two-Step Analysis of the Fetal Heart Rate Signal as a Predictor of Distress
Authors : Robert Czabanski, Janusz Wrobel, Janusz Jezewski, Michal Jezewski
Published in: Intelligent Information and Database Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Cardiotocography is a biophysical method of fetal state assessment based on analysis of fetal heart rate signal (FHR). The computerized fetal monitoring systems provide a quantitative evaluation of FHR signals, however the effective methods for fetal outcome prediction are still needed. The paper proposes a two-step analysis of fetal heart rate recordings that allows for prediction of the fetal distress. The first step consists in classification of FHR signals with Weighted Fuzzy Scoring System. The fuzzy inference that corresponds to the clinical interpretation of signals based on the FIGO guidelines enables to designate recordings indicating the fetal wellbeing. In the second step, the remained recordings are classified using Lagrangian Support Vector Machines (LSVM). The evaluation of the proposed procedure using data collected with computerized fetal surveillance system confirms its efficacy in predicting the fetal distress.