Department of Medicine, University of Vermont College of Medicine, Burlington, VT, USA.
Circ Arrhythm Electrophysiol. 2011 Dec;4(6):909-16. doi: 10.1161/CIRCEP.111.965145. Epub 2011 Oct 9.
Fractionated electrograms are used by some as targets for ablation in atrial and ventricular arrhythmias. Fractionation has been demonstrated to result when there is repetitive or asynchronous activation of separate groups of cells within the recording region of a mapping electrode(s).
Using a computer model, we generated tissue activation patterns with increasing spatiotemporal variation and calculated virtual electrograms from electrodes with decreasing resolution. We then quantified electrogram fractionation. In addition, we recorded unipolar electrograms during atrial fibrillation in 20 patients undergoing atrial fibrillation ablation. From these we constructed bipolar electrograms with increasing interelectrode spacing and quantified fractionation. During modeling of spatiotemporal variation, fractionation varied directly with electrode length, diameter, height, and interelectrode spacing. When resolution was held constant, fractionation increased with increasing spatiotemporal variation. In the absence of spatial variation, fractionation was independent of resolution and proportional to excitation frequency. In patients with atrial fibrillation, fractionation increased as interelectrode spacing increased.
We created a model for distinguishing the roles of spatial and temporal electric variation and electrode resolution in producing electrogram fractionation. Spatial resolution affects fractionation attributable to spatiotemporal variation but not temporal variation alone. Electrogram fractionation was directly proportional to spatiotemporal variation and inversely proportional to spatial resolution. Spatial resolution limits the ability to distinguish high-frequency excitation from overcounting. In patients with atrial fibrillation, complex fractionated atrial electrogram detection varies with spatial resolution. Electrode resolution must therefore be considered when interpreting and comparing studies of fractionation.
一些人将分段电图用作心房和室性心律失常消融的靶点。已经证明,当记录电极(s)的记录区域内的分离细胞群发生重复或异步激活时,就会出现分段现象。
我们使用计算机模型生成具有增加的时空变化的组织激活模式,并从具有降低分辨率的电极计算虚拟电图。然后我们量化了电图分段。此外,我们在 20 名接受心房颤动消融的患者中记录了心房颤动期间的单极电图。从中,我们构建了具有增加的电极间间隔的双极电图,并量化了分段。在时空变化的建模过程中,分段与电极长度、直径、高度和电极间间隔直接相关。当分辨率保持不变时,随着时空变化的增加,分段也会增加。在没有空间变化的情况下,分段与分辨率无关,与激励频率成正比。在患有心房颤动的患者中,随着电极间间隔的增加,分段也会增加。
我们创建了一个模型,用于区分空间和时间电变化以及电极分辨率在产生电图分段中的作用。空间分辨率会影响归因于时空变化的分段,但不会影响仅时空变化的分段。电图分段与时空变化成正比,与空间分辨率成反比。空间分辨率限制了从计数过多中区分高频激励的能力。在患有心房颤动的患者中,复杂的心房碎裂电图检测随空间分辨率而变化。因此,在解释和比较分段研究时,必须考虑电极分辨率。