DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network

BACKGROUND: Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation of FHR signals using common guidelines usually results in significant subjective inter-observer and intra-observer...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Zhidong, Deng, Yanjun, Zhang, Yang, Zhang, Yefei, Zhang, Xiaohong, Shao, Lihuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937790/
https://www.ncbi.nlm.nih.gov/pubmed/31888592
http://dx.doi.org/10.1186/s12911-019-1007-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937790/
https://www.ncbi.nlm.nih.gov/pubmed/31888592
http://dx.doi.org/10.1186/s12911-019-1007-5

Ejemplares similares