Comparison of Feature selection for Monopolar and Bipolar EHG signal

Abstract : Different categories of features have been extracted from the uterine Electrohysterography Signal (EHG), in order to find specific useful information that can be used to classify between labor and pregnancy contractions. The selection of pertinent features is very important to solve classification problem. In our study we selected 26 features (linear, nonlinear and features related to the EHG propagation) extracted from the literature. In this paper we present two feature selection methods. The first one is a filter method named F-score. The second one is a wrapper method named Genetic algorithm. The aim of this paper is to compare the results of feature selection methods and classification obtained by using monopolar and then bipolar EHG signals.
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Communication dans un congrès
Journées RITS 2015, Mar 2015, Dourdan, France. Actes des Journées RITS 2015, pp 100-101, 2015
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Contributeur : Frédérique Frouin <>
Soumis le : samedi 23 mai 2015 - 11:18:30
Dernière modification le : lundi 3 septembre 2018 - 13:33:01
Document(s) archivé(s) le : jeudi 20 avril 2017 - 07:54:31

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Dima Alamadine, Mohamad Khalil, Catherine Marque. Comparison of Feature selection for Monopolar and Bipolar EHG signal. Journées RITS 2015, Mar 2015, Dourdan, France. Actes des Journées RITS 2015, pp 100-101, 2015. 〈inserm-01154780〉

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