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

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 have been used to characterize EHG signals, although they require optimizing many...

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Detalles Bibliográficos
Autores principales: Nieto-del-Amor, Félix, Beskhani, Raja, Ye-Lin, Yiyao, Garcia-Casado, Javier, Diaz-Martinez, Alba, Monfort-Ortiz, Rogelio, Diago-Almela, Vicente Jose, Hao, Dongmei, Prats-Boluda, Gema
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471282/
https://www.ncbi.nlm.nih.gov/pubmed/34577278
http://dx.doi.org/10.3390/s21186071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471282/
https://www.ncbi.nlm.nih.gov/pubmed/34577278
http://dx.doi.org/10.3390/s21186071

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