Preliminary Study on the Efficient Electrohysterogram Segments for Recognizing Uterine Contractions with Convolutional Neural Networks

BACKGROUND: Uterine contraction (UC) is the tightening and shortening of the uterine muscles which can indicate the progress of pregnancy towards delivery. Electrohysterogram (EHG), which reflects uterine electrical activities, has recently been studied for UC monitoring. In this paper, we aimed to...

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Detalles Bibliográficos
Autores principales: Peng, Jin, Hao, Dongmei, Liu, Haipeng, Liu, Juntao, Zhou, Xiya, Zheng, Dingchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815646/
https://www.ncbi.nlm.nih.gov/pubmed/31737659
http://dx.doi.org/10.1155/2019/3168541

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815646/
https://www.ncbi.nlm.nih.gov/pubmed/31737659
http://dx.doi.org/10.1155/2019/3168541

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