DocumentCode
139330
Title
Quantitative assessment of synchronization during atrial fibrillation based on a novel index
Author
Lin Zhang ; Cuiwei Yang ; Zhenning Nie
Author_Institution
Dept. of Electron. Eng., Fudan Univ., Shanghai, China
fYear
2014
fDate
26-30 Aug. 2014
Firstpage
998
Lastpage
1001
Abstract
Atrial Fibrillation (AF), a chaotic rhythm classically considered with random electrical activity, is now demonstrated to show a certain degree of organization and synchronization. Rather than those traditional indices which always focus on the pairwise properties of adjacent signals, a new synchronization index-S estimator-is introduced in this paper to quantify the synchronization level for all the signals in a selected area. By evaluating a complement of the entropy of the normalized eigenvalues of the corresponding correlation matrix, S estimator is designed to be proportional to the amount of synchronization. 400 episodes of 64-channel epicardial signals acquired from four living mongrels were studied under normal sinus rhythm (SN) and AF. The results showed that there were significant decreases of S estimator for both anterior left atrium and anterior right atrium with the rhythm changing from SN to AF. After dividing the research area into eight subparts, S estimator is also capable to demonstrate the different synchronization level for each subpart and revealed the electrophysiology individual difference among four experimental subjects. In conclusion, S estimator succeeds in estimating the synchronization degree for multi-channel signals in a selected area, with no limits to the number of the signals to be analyzed. It can help us to distinguish the region with a high synchronization level during AF, which would be helpful to the clinical AF treatment and enhance our understanding of underlying mechanisms of AF.
Keywords
bioelectric phenomena; diseases; electrocardiography; patient treatment; synchronisation; anterior left atrium; anterior right atrium; atrial fibrillation; chaotic rhythm; clinical AF treatment; electrophysiology; epicardial signals; high synchronization level; living mongrels; multichannel signals; normal sinus rhythm; normalized eigenvalues; quantitative synchronization assessment; random electrical activity; synchronization index-S estimator; Atrial fibrillation; Correlation; Electrodes; Entropy; Rhythm; Synchronization; Tin;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2014.6943761
Filename
6943761
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