Sun Liqian, Yang Cuiwei, Zhang Lin, Chen Ying, Wu Zhong, Shao Jun
Department of Electronic Engineering, Fudan University, Shanghai 200433, China.
Department of Electronic Engineering, Fudan University, Shanghai 200433, China.
Med Eng Phys. 2014 Jul;36(7):875-81. doi: 10.1016/j.medengphy.2014.03.011. Epub 2014 Apr 24.
In order to get a better understanding of atrial fibrillation, we introduced a method based on Graph Theory to interpret the relations of different parts of the atria. Atrial electrograms under sinus rhythm and atrial fibrillation were collected from eight living mongrel dogs with cholinergic AF model. These epicardial signals were acquired from 95 unipolar electrodes attached to the surface of the atria and four pulmonary veins. Then, we analyzed the electrode correlations using Graph Theory. The topology, the connectivity and the parameters of graphs during different rhythms were studied. Our results showed that the connectivity of graphs varied from sinus rhythm to atrial fibrillation and there were parameter gradients in various parts of the atria. The results provide spatial insight into the interaction between different parts of the atria and the method may have its potential for studying atrial fibrillation.
为了更好地理解心房颤动，我们引入了一种基于图论的方法来解释心房不同部位之间的关系。从八只患有胆碱能性房颤模型的活体杂种犬身上采集了窦性心律和心房颤动下心房电图。这些心外膜信号是从附着于心房表面和四条肺静脉的95个单极电极获取的。然后，我们使用图论分析电极相关性。研究了不同节律下图形的拓扑结构、连通性和参数。我们的结果表明，从窦性心律到心房颤动，图形的连通性发生了变化，心房各部位存在参数梯度。这些结果为心房不同部位之间的相互作用提供了空间见解，该方法可能具有研究心房颤动的潜力。
