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...

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Publicado en:BMC Med Inform Decis Mak
Autores principales: Zhao, Zhidong, Deng, Yanjun, Zhang, Yang, Zhang, Yefei, Zhang, Xiaohong, Shao, Lihuan
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6937790/
https://ncbi.nlm.nih.gov/pubmed/31888592
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-1007-5
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