title: Analysis of epicardial mapping electrogram of sustained atrial fibrillation based on Shannon entropy.
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.
authors: Department of Electronic Engineering, Fudan University, Shanghai 200433, China. muze.zhou@gmail.com
authors: Tuo
authors: T
authors: Zhou
authors: Dudu
authors: D
authors: Lin
authors: Cuiwei
authors: C
authors: Yang
authors: Xiaomei
authors: X
authors: Wu
authors: Zuxiang
authors: Z
authors: Fang
mesh_terms: D000465:Algorithms; D000818:Animals; D001281:Atrial Fibrillation / Q000503:physiopathology*; D020000:Decision Support Systems, Clinical; D003661:Decision Support Techniques; D004285:Dogs; D004562:Electrocardiography / Q000379:methods*; D019277:Entropy; D056149:Epicardial Mapping / Q000379:methods*; D006321:Heart / Q000503:physiopathology*; D006329:Heart Conduction System / Q000503:physiopathology; D006801:Humans; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted