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 :
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