Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning

Despite broad application during labor and delivery, there remains considerable debate about the value of electronic fetal monitoring (EFM). EFM includes the surveillance of the fetal heart rate (FHR) patterns in conjunction with the maternal uterine contractions providing a wealth of data about fet...

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Veröffentlicht in:	arXiv.org 2021-07
Hauptverfasser:	Frasch, Martin G, Strong, Shadrian B, Nilosek, David, Leaverton, Joshua, Schifrin, Barry S
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Decision support systems Deep learning Early warning systems Heart rate Injury prevention Labor Oxygenation Quantitative Biology - Quantitative Methods
Online-Zugang:	Volltext
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