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Assessment of Dispersion and Bubble Entropy Measures for Enhancing Preterm Birth Prediction Based on Electrohysterographic Signals

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 ...
Dispersion Entropy: A Measure of Electrohysterographic Complexity for Preterm Labor Discrimination

Nieto-del-Amor, Félix; Ye Lin, Yiyao; Garcia-Casado, Javier; Díaz-Martínez, María del Alba; González Martínez, María; Monfort-Ortiz, R.; Prats-Boluda, Gema (SCITEPRESS, 2021-02-13)

[EN] Although preterm labor is a major cause of neonatal death and often leaves health sequels in the survivors, there are no accurate and reliable clinical tools for preterm labor prediction. The Electrohysterogram (EHG) ...
Estudio comparativo de las diferentes medidas de entropía para la predicción del parto prematuro

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 ...

Mostrando ítems 1-3 de 3