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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| 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 |