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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...
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| Pubblicato in: | BMC Med Inform Decis Mak |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2019
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| Soggetti: | |
| Accesso online: | 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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