Delta-Fuzzy Similarity Entropy to Discriminate Healthy from Sick Fetus - Archive ouverte HAL Access content directly
Conference Papers Year : 2013

Delta-Fuzzy Similarity Entropy to Discriminate Healthy from Sick Fetus

(1) , (2, 3) , (2, 3) , (2)
1
2
3

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.
Fichier principal
Vignette du fichier
1569756981.pdf (267.38 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inserm-00922140 , version 1 (23-12-2013)
inserm-00922140 , version 2 (13-02-2014)

Identifiers

  • HAL Id : inserm-00922140 , version 2

Cite

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. ⟨inserm-00922140v2⟩
341 View
237 Download

Share

Gmail Facebook Twitter LinkedIn More