Paper Info
Title
Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability.
Abstract
Intrapartum fetal surveillance for early detection of fetal acidosis in clinical practice focuses on reducing neonatal morbidity via early detection. It is the subject of on going research studies attempting notably to improve detection performance by reducing false positive rate. In that context, the present contribution tailors to fetal heart rate variability analysis a graph-based dimensionality reduction procedure performed on scattering coefficients. Applied to a high quality and well-documented database constituted by obstetricians from a French academic hospital, the low dimensional embedding enables to distinguish between the temporal dynamics of healthy and acidotic fetuses, as well as to achieve satisfactory detection performance detection compared to those obtained by the clinical-benchmark FIGO criteria.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6945086
EMBC
Keywords
Field
DocType
electrocardiography,healthy fetuses,medical disorders,medical signal detection,acidotic fetuses,scattering coefficients,intrapartum fetal heart rate variability,embedding,scattering transform,fetal acidosis,low dimensional manifold embedding,intrapartum fetal surveillance,graph-based dimensionality reduction,dimensionality reduction,medical signal processing,clinical-benchmark figo criteria,obstetrics,electrocardiograms,graph theory,neonatal morbidity,false positive rate
False positive rate,Manifold embedding,Early detection,Dimensionality reduction,Computer science,Artificial intelligence,Computer vision,Graph,Mathematical optimization,Pattern recognition,Heart rate variability,Clinical Practice,Fetal Heart Rate Variability
Conference
Volume
ISSN
Citations 
2014
1557-170X
1
PageRank 
References 
Authors
0.35
5
7
Name
Order
Citations
PageRank
Václav Chudácek1357.32
R Talmon210.35
J Anden310.35
Stéphane Mallat44107718.30
Ronald R. Coifman575392.74
Patrice Abry656763.81
Muriel Doret7264.42