Delta-Fuzzy Similarity Entropy to Discriminate Healthy from Sick Fetus
Résumé
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.
Domaines
Physique Médicale [physics.med-ph] Physique Numérique [physics.comp-ph] Acoustique [physics.class-ph] Traitement du signal et de l'image [eess.SP] Ingénierie biomédicale Analyse de données, Statistiques et Probabilités [physics.data-an] Systèmes dynamiques [math.DS] Variables complexes [math.CV] Physique mathématique [math-ph] Complexité [cs.CC] Traitement du signal et de l'image [eess.SP] Dynamique Chaotique [nlin.CD] Acoustique [physics.class-ph]
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