DocumentCode
1854820
Title
Similarity quantification analysis to detect suffering fetus
Author
Voicu, Iulian ; Girault, Jean-Marc
Author_Institution
Univ. Francois Rabelais de Tours, Tours, France
fYear
2012
fDate
27-31 Aug. 2012
Firstpage
1845
Lastpage
1849
Abstract
To characterize a dynamical system, a number of descriptors or invariants can be used. Here we proposed to review and generalize the analysis of recurrence by introducing the concept of similarity. In this study, we showed that it was possible to distinguish the fetal heart rate of healthy from suffering fetus using the similarities of a time series, while the analysis of recurrence does not allowed it.
Keywords
cardiology; medical signal detection; obstetrics; time series; fetal heart rate; similarity quantification analysis; suffering fetus detection; time series; Chaos; Entropy; Equations; Fetal heart rate; Fetus; Time series analysis; Vectors; RQA parameters; dynamical system; fetal heart rate; recurrence plot; similarity plot;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location
Bucharest
ISSN
2219-5491
Print_ISBN
978-1-4673-1068-0
Type
conf
Filename
6334188
Link To Document