DocumentCode :
2413195
Title :
Analysis of epicardial mapping electrogram of sustained atrial fibrillation based on shannon entropy
Author :
Zhou, Tuo ; Lin, Dudu ; Yang, Cuiwei ; Wu, Xiaomei ; Fang, Zuxiang
Author_Institution :
Dept. of Electron. Eng., Fudan Univ., Shanghai, China
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
3470
Lastpage :
3472
Abstract :
The mechanisms of sustained atrial fibrillation (AF) are not well understood. And predicting the development of AF is a problem of great clinical interest. This paper proposed an AF analysis method by evaluating, based on Shannon entropy, the complexity of atrial activation in various AF stages. The first step was to preprocess and characterize electrograms. Then, Shannon entropy analysis and statistical analysis were applied to find the significance of interval entropy in sustained AF. Study results proved that interval entropy presented a degressive tendency in the process of sustained AF and some sites with high activation frequency but low entropy was possibly related to ectopic driver of AF.
Keywords :
biology computing; electrocardiography; entropy; information theory; AF analysis method; Shannon entropy analysis; atrial activation; atrial fibrillation; degressive tendency; ectopic driver; epicardial mapping electrogram; interval entropy; statistical analysis; atrial fibrillation; entropy; epicaridal mapping; Algorithms; Animals; Atrial Fibrillation; Decision Support Systems, Clinical; Decision Support Techniques; Dogs; Electrocardiography; Entropy; Epicardial Mapping; Heart; Heart Conduction System; Humans; Models, Statistical; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5334608
Filename :
5334608
Link To Document :
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