Zhou Tuo, Lin Dudu, Yang Cuiwei, Wu Xiaomei, Fang Zuxiang
Department of Electronic Engineering, Fudan University, Shanghai 200433, China.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3470-2. doi: 10.1109/IEMBS.2009.5334608.
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.
持续性心房颤动（AF）的机制尚未完全明确。预测房颤的发展是一个具有重大临床意义的问题。本文提出了一种房颤分析方法，该方法基于香农熵评估房颤各阶段心房激活的复杂性。第一步是对心电图进行预处理和特征化。然后，应用香农熵分析和统计分析来发现持续房颤中间隔熵的意义。研究结果证明，在持续性房颤过程中间隔熵呈递减趋势，一些激活频率高但熵值低的部位可能与房颤的异位驱动因素有关。
