Title | ||
---|---|---|
Use of automated fetal heart rate analysis to identify risk factors for umbilical cord acidosis at birth. |
Abstract | ||
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In addition to clinical predictors, the automated FHR analysis highlighted other significant predictors, such as the baseline range, the instability of the FHR signal and the late deceleration area. This study further extends the routine application of automated FHR analysis during labor and, ultimately, contributes to the development of predictive scores for fetal acidosis. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.compbiomed.2019.103525 | Computers in Biology and Medicine |
Keywords | Field | DocType |
Cord blood gas analysis,Neonatal acidosis,Cardiotocography,Fetal monitoring,Neonatal outcome,Neonatal acidaemia,Intrapartum risk factors,Computer-assisted,Fetal hypoxia | Pattern recognition,Heart rate variability,Computer science,Artificial intelligence,Acidosis,Heart rate,Obstetrics,Confidence interval,Fetal Bradycardia,Caesarean section,Umbilical cord,Univariate analysis | Journal |
Volume | ISSN | Citations |
115 | 0010-4825 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
A Houzé de l'Aulnoit | 1 | 0 | 0.34 |
Michaël Génin | 2 | 2 | 1.48 |
S Boudet | 3 | 0 | 0.34 |
R Demailly | 4 | 0 | 0.34 |
C Ternynck | 5 | 0 | 0.34 |
G Babykina | 6 | 0 | 0.34 |
D Houzé de l'Aulnoit | 7 | 0 | 0.34 |
Régis Beuscart | 8 | 54 | 17.72 |