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Quantitative assessment of synchronization during atrial fibrillation based on a novel index.
Article en En | MEDLINE | ID: mdl-25570129
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial Límite: Animals Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Año: 2014 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial Límite: Animals Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Año: 2014 Tipo del documento: Article Pais de publicación: Estados Unidos