Censi Federica, Ricci Chiara, Calcagnini Giovanni, Triventi Michele, Ricci Renato P, Santini Massimo, Bartolini Pietro
Department of Technologies and Health, Istituto Superiore di Sanità, Rome, Italy.
Pacing Clin Electrophysiol. 2008 Jul;31(7):874-83. doi: 10.1111/j.1540-8159.2008.01102.x.
Time-domain and morphological analysis of P-wave from surface electrocardiogram has been extensively used to identify patients prone to atrial arrhythmias, especially atrial fibrillation (AF). However, since no standard procedure exists for P-wave preprocessing, standardization of cut-off values for P-wave duration and morphological features is difficult. This study is a methodological investigation of P-wave preprocessing procedures for automatic time-domain and morphological analysis.
We compared, on simulated and real data, the P-wave template obtained applying three alignment algorithms with that obtained without alignment, in terms of template error, shift error, P-wave duration, and morphological parameters. We also proposed automatic algorithms for estimation of P-wave duration.
We found that alignment is necessary for a reliable extraction of P-wave template by the averaging procedure, in order to perform time-domain and morphological analysis. On simulated and real data, the error on P-wave duration can be as high as 30 ms on a template obtained without alignment; if alignment procedure is performed, the error on P-wave duration is negligible. Analogously, morphological features are correctly estimated only on a P-wave template obtained with P-waves alignment. We also found that the proposed algorithm for the automatic estimation of the P-wave duration gave reliable results.
体表心电图P波的时域和形态学分析已被广泛用于识别易发生房性心律失常,尤其是心房颤动(AF)的患者。然而,由于不存在P波预处理的标准程序,因此很难对P波持续时间和形态特征的截止值进行标准化。本研究是一项关于用于自动时域和形态学分析的P波预处理程序的方法学研究。
我们在模拟数据和真实数据上,比较了应用三种对齐算法获得的P波模板与未进行对齐获得的P波模板在模板误差、移位误差、P波持续时间和形态学参数方面的差异。我们还提出了用于估计P波持续时间的自动算法。
我们发现,为了进行时域和形态学分析,通过平均程序可靠提取P波模板时对齐是必要的。在模拟数据和真实数据上,未对齐获得的模板上P波持续时间的误差可能高达30 ms;如果执行对齐程序,P波持续时间的误差可以忽略不计。类似地,形态学特征仅在通过P波对齐获得的P波模板上才能正确估计。我们还发现,所提出的自动估计P波持续时间的算法给出了可靠的结果。