DocumentCode :
3203112
Title :
Nonlinear estimation of coupling and directionality between signals: Application to uterine EMG propagation
Author :
Diab, A. ; Hassan, Mehdi ; Boudaoud, S. ; Marque, C. ; Karlsson, Bjorn
Author_Institution :
Sch. of Sci. & Eng., Reykjavik Univ., Reykjavik, Iceland
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
4366
Lastpage :
4369
Abstract :
Understanding the direction and quantity of information flowing in a complex system is a fundamental task in signal processing. Several measures have been proposed to detect the quantity of synchronization and the directionality between time series and in physiological data. In this paper we use two methods that are widely used in synchronization and directionality analysis: Nonlinear correlation coefficient (h2) and the general synchronization (H). The performances of both methods were tested on four dimensional coupled synthetic nonlinear Rössler models. They were then applied to a single real labor contraction uterine EMG burst with the aim of using them to detect synchronization and to plot the map of direction of information flow between the whole signal channels. The results on synthetic signal show a slight superiority of H over h2. The results obtained on a single contraction are encouraging for the future use of these tools for resolving the open question of the directionality of uterine contractions and may provide a way of finding their source loci.
Keywords :
biological organs; electromyography; medical signal processing; nonlinear estimation; synchronisation; time series; complex system; directionality analysis; four dimensional coupled synthetic nonlinear Rossler models; general synchronization; information flow; nonlinear correlation coefficient; nonlinear estimation; physiological data; signal channels; signal coupling; signal directionality; signal processing; single real labor contraction uterine EMG burst; source loci; synthetic signal; time series; uterine EMG propagation; Color; Correlation coefficient; Couplings; Electroencephalography; Electromyography; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610513
Filename :
6610513
Link To Document :
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