Delta-Fuzzy Similarity Entropy to Discriminate Healthy from Sick Fetus

Souad Oudjemia 1, * Amira Zaylaa 2, 3 Jamal Charara 2, 3 Jean-Marc Girault 2
* Auteur correspondant
1 L2CSP - Laboratoire de Conception et Conduite des systèmes de Production
2 Imagerie et cerveau
3 Signal and Image Laboratory
Abstract : This paper deals with the discrimination between suffering and healthy fetuses, by means of a delta-fuzzy-similarity entropy. This new descriptor of complexity is based on the derivative of the fuzzy-similarity entropy. It was tested on fetal heart rate time-series and compared to the approximated and similarity entropies. The main outcome was the possibility to improve 10% the specificity and the sensitivity as compared to approximate entropy. This very good performance confirms that the new descriptor can be a valuable alternative as compared to other standard descriptors.
Type de document :
Communication dans un congrès
2nd International Conference on Advances in Biomedical Engineering, IEEE, Sep 2013, Lebanon. pp.1-4, 2013
Domaine :
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http://www.hal.inserm.fr/inserm-00922140
Contributeur : Amira Zaylaa <>
Soumis le : jeudi 13 février 2014 - 16:08:19
Dernière modification le : mercredi 21 mars 2018 - 10:54:02

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Souad Oudjemia, Amira Zaylaa, Jamal Charara, Jean-Marc Girault. Delta-Fuzzy Similarity Entropy to Discriminate Healthy from Sick Fetus. 2nd International Conference on Advances in Biomedical Engineering, IEEE, Sep 2013, Lebanon. pp.1-4, 2013. 〈inserm-00922140v2〉

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