Filos D, Chouvarda I, Dakos G, Vassilikos V, Maglaveras N
Lab of Medical Informatics, Aristotle University of Thessaloniki, Greece.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:953-6. doi: 10.1109/IEMBS.2011.6090215.
Atrial fibrillation (AF) is a complex phenomenon, related with a multitude of factors, including the electrical properties of the atrial substrate. The purpose of this work is to present a method that highlights electrocardiographic differences between normal subjects and patients with paroxysmal AF episodes (PAF), potentially related with substrate differences. Vectorcardiography recordings are considered and, for each lead (X-Y-Z), on a beat by beat basis, a steady window before QRS, corresponding to the atrial activity, is analysed via continuous wavelet transform. Wavelet-based parameters are calculated and compared between the normal and AF group, with the beat to beat variation of wavelet energy as the most important feature showing a significantly higher variability in the AF group.
心房颤动（AF）是一种复杂的现象，与多种因素相关，包括心房基质的电特性。这项工作的目的是提出一种方法，该方法突出显示正常受试者与阵发性房颤发作（PAF）患者之间的心电图差异，这些差异可能与基质差异有关。研究考虑了向量心电图记录，并针对每个导联（X - Y - Z），逐搏分析QRS波之前对应于心房活动的稳定窗口，通过连续小波变换进行分析。计算基于小波的参数并在正常组和房颤组之间进行比较，小波能量的逐搏变化作为最重要的特征，显示房颤组具有显著更高的变异性。
