Improved Prediction of Preterm Delivery Using Empirical Mode Decomposition Analysis of Uterine Electromyography Signals

Preterm delivery increases the risk of infant mortality and morbidity, and therefore developing reliable methods for predicting its likelihood are of great importance. Previous work using uterine electromyography (EMG) recordings has shown that they may provide a promising and objective way for pred...

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Detalles Bibliográficos
Autores principales: Ren, Peng, Yao, Shuxia, Li, Jingxuan, Valdes-Sosa, Pedro A., Kendrick, Keith M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498691/
https://www.ncbi.nlm.nih.gov/pubmed/26161639
http://dx.doi.org/10.1371/journal.pone.0132116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498691/
https://www.ncbi.nlm.nih.gov/pubmed/26161639
http://dx.doi.org/10.1371/journal.pone.0132116

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