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Delta-Fuzzy Similarity Entropy to Discriminate Healthy from Sick Fetus

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.
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https://www.hal.inserm.fr/inserm-00922140
Contributor : Amira Zaylaa <>
Submitted on : Thursday, February 13, 2014 - 4:08:19 PM
Last modification on : Wednesday, July 15, 2020 - 11:52:02 AM

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  • HAL Id : inserm-00922140, version 2

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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. ⟨inserm-00922140v2⟩

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