Stable rotors have been proposed as mechanisms that maintain atrial fibrillation which is the most common arrhythmia worldwide. The information of intracardiac electrograms (EGMs), recorded through multielectrode arrays, is used to characterize the electrical conduction dynamics and thus to identify rotors or reentrant propagating waves. Most of the methods of EGMs processing are based on the assessment of the individual properties of each EGM signal. Additionally, synchronization indices have been proposed to evaluate the properties of the conduction patterns by means of multivariate analysis. However, the problem of rotor detection through EGMs remains open. We evaluate the behavior of four local synchronization indices using computational simulations of different conduction patterns and the corresponding EGMs in 2D models. The results show that phase synchronization exhibits better performance than correlation, coherence, and mutual information for detecting rotors under different fibrillatory patterns. We also show that this approach outperforms a previously reported technique based on entropy analysis of individual EGM. Synchronization maps using phase-locking values calculated from adjacent EGM highlight the vicinity of the core of stable rotors, even in the presence of multiple wavefronts and wave breaks. Therefore, phase-locking maps can be a useful tool for characterizing rotors during atrial fibrillation episodes.

已经提出了稳定的转子作为维持房颤的机制，房颤是全世界最常见的心律不齐。通过多电极阵列记录的心内电描记图（EGM）信息用于表征电导动力学，从而识别转子或折返传播波。EGM的大多数处理方法都是基于对每个EGM信号的各个属性的评估。另外，已经提出了同步指数，以通过多变量分析来评估导电图案的特性。但是，通过EGM检测转子的问题仍然存在。我们使用二维模型中不同导电模式和相应EGM的计算仿真来评估四个局部同步指标的行为。结果表明，相位同步具有比相关性，相干性和互信息更好的性能，用于检测不同颤动模式下的转子。我们还显示，该方法优于基于单个EGM的熵分析的先前报道的技术。使用从相邻EGM计算出的锁相值的同步图可以突出显示稳定转子铁心的附近，即使存在多个波前和波折。因此，锁相图可能是表征房颤发作期间转子的有用工具。我们还显示，该方法优于基于单个EGM的熵分析的先前报道的技术。使用从相邻EGM计算出的锁相值的同步图可以突出显示稳定转子铁心的附近，即使存在多个波前和波折。因此，锁相图可能是表征房颤发作期间转子的有用工具。我们还显示，该方法优于基于单个EGM的熵分析的先前报道的技术。使用从相邻EGM计算出的锁相值的同步图可以突出显示稳定转子铁心的附近，即使存在多个波前和波折。因此，锁相图可能是表征房颤发作期间转子的有用工具。