Prediction of defibrillation success is of vital importance to guide therapy and improve the survival of patients suffering out-of-hospital cardiac arrest (OHCA). Currently, the most efficient methods to predict shock ...
Nieto del-Amor, Félix; Beskhani, Raja; Ye Lin, Yiyao; Garcia-Casado, Javier; Díaz-Martínez, María del Alba; Monfort-Ortiz, Rogelio; Diago-Almela, Vicente Jose; Hao, Dongmei; Prats-Boluda, Gema(MDPI AG, 2021-09-10)
[EN] One of the remaining challenges for the scientific-technical community is predicting preterm births, for which electrohysterography (EHG) has emerged as a highly sensitive prediction technique. Sample and fuzzy entropy ...
[EN] This paper analyses the performance of SampEn and one of its derivatives, Fuzzy Entropy (FuzzyEn), in the context of artifacted blood glucose time series classification. This is a difficult and practically unexplored ...
Entropy estimation metrics have become a widely used method to identify subtle changes or hidden features in biomedical records. These methods have been more effective than conventional linear techniques in a number of ...
Nieto del Amor, Félix(Universitat Politècnica de València, 2021-02-17)
[ES] El parto prematuro es una situación de alto riesgo que tiene una prevalencia superior al 10% de los partos, afectando a más de 15 millones de familias en el mundo. Sus repercusiones se muestran tanto en la salud materno ...