Title :
Arrhythmic dynamics from singularity analysis of electrocardiographic maps
Author :
Pont, O. ; Yahia, Hussein ; Binbin Xu
Author_Institution :
Team GeoStat, INRIA Bordeaux Sud-Ouest, Talence, France
Abstract :
From a point view of nonlinear dynamics, the electrical activity of the heart is a complex dynamical system, whose dynamics reflects the actual state of health of the heart. Nonlinear signal-processing methods are needed in order to accurately characterize these signals and improve understanding of cardiac arrhythmias. Recent developments on reconstructible signals and multiscale information content show that an analysis in terms of singularity exponents provides compact and meaningful descriptors of the structure and dynamics of the system. Such approach gives a compact representation atrial arrhythmic dynamics, which can sharply highlight regime transitions and arrhythmogenic areas.
Keywords :
bioelectric potentials; electrocardiography; medical signal processing; nonlinear dynamical systems; signal reconstruction; arrhythmogenic area; atrial arrhythmic dynamics representation; cardiac arrhythmia dynamics; complex dynamical system; electrocardiographic maps; heart electrical activity; nonlinear signal processing method; signal characterization; signal reconstruction; singularity analysis method; Chaos; Electric potential; Fractals; Heart beat; Rhythm; Veins;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610955