Center for Arrhythmia Research, University of Michigan, Ann Arbor, MI, USA.
Heart Rhythm. 2009 Oct;6(10):1475-82. doi: 10.1016/j.hrthm.2009.07.014. Epub 2009 Jul 16.
Complex fractionated atrial electrograms (CFAEs) are thought to identify high-frequency electrical sources and have become an important target for radiofrequency ablation of atrial fibrillation (AF). Methods used to identify CFAEs and locate suitable ablation sites usually depend on subjective analysis of the electrograms but may also involve objective, computer-based paradigms through either time- or frequency-domain approaches.
We generated a set of simulated test electrograms, which were defined by a combination of a basic cycle length, phase-resetting noise, and phase-preserving noise, accounting for far-field effects. The simulated electrograms were analyzed separately by well-known basic time-domain (complex fractionated electrogram [CFE]) and frequency-domain (dominant frequency [DF]) methods, and the results were compared with each other to determine objectively the potential reliability of either method to accurately estimate the cycle length of the atrial electrogram.
The behavior of the time-domain method depends on the assumed amplitude-sensitivity threshold and can be tuned to its optimal performance but only for signals having stable (and known a priori) amplitude. When the signal amplitude varies randomly (with +/-20% standard deviation range), the time-domain method loses performance. By contrast, the performance of the frequency-domain method remains stable.
Despite potentially good performance of time-domain methods to estimate the cycle length during AF and localize ablation sites, their performance is easily prone to degradation. The frequency-domain method seems to be much more robust.
复杂碎裂心房电图(CFAE)被认为可识别高频电信号源,已成为心房颤动(AF)射频消融的重要靶点。用于识别 CFAE 并定位合适消融部位的方法通常依赖于对心电图的主观分析,但也可能涉及基于时间或频率域的客观、计算机为基础的方法。
我们生成了一组模拟测试心电图,这些心电图由基本周期长度、重置相位噪声和保持相位噪声的组合定义,以模拟远场效应。模拟心电图分别通过著名的基本时域(复杂碎裂心电图[CFE])和频域(主导频率[DF])方法进行分析,并将结果相互比较,以客观确定两种方法在准确估计心房电图周期长度方面的潜在可靠性。
时域方法的行为取决于假设的幅度灵敏度阈值,并且可以根据其最佳性能进行调整,但仅适用于具有稳定(且预先已知)幅度的信号。当信号幅度随机变化(标准偏差范围为 +/-20%)时,时域方法的性能会下降。相比之下,频域方法的性能保持稳定。
尽管时域方法在估计 AF 中的周期长度和定位消融部位方面具有潜在的良好性能,但它们的性能很容易受到影响。频域方法似乎更稳健。