R. Molero, A. Climent, I. Hernández-Romero, A. Liberos, F. Fernández‐Avilés, F. Atienza, M. Guillem, M. Rodrigo
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引用次数: 0
摘要
心电图成像(ECGI)可以通过基于频率或相位分析的特定标记物来表征心房颤动(AF)等心脏病理。在这项研究中,研究了患者躯干和心房的几何形状对ECGI分辨率的影响。在30例患者躯干上放置了真实的3D心房几何形状,并计算了每个躯干30个不同AF模拟的ECGI信号。对每种情况计算优势频率(DF)和可重入活动分析。计算每个躯干(患者间差异的30-80%)和心房的解剖和几何测量,并将ECGI估计值与离去的EGM图的误差进行比较。结果显示,胸围大会加重心房颤动标志物的无创计算(p<0.05)。此外,来自每个心房区域的更多可见电极数量改善了ECGI特征,测量为更低的DF偏差(0.64±0.26 Hz vs 0.72±0.27 Hz, p<0.05)和更高的重入活动一致性(10.1±12.2% vs 3.4±3.4%,p<0.05)。躯干和心房几何形状影响房颤标志物(如DF或再入活动)的无创重建质量。了解使非侵入式自动对焦图恶化的几何参数可能有助于测量每个检测到的自动对焦驱动程序的可靠性。
Effects of Geometry in Atrial Fibrillation Markers Obtained With Electrocardiographic Imaging
Electrocardiographic imaging (ECGI) can characterise cardiac pathologies such as atrial fibrillation (AF) through specific markers based on frequency or phase analysis. In this study, the effect of the geometry of patients’ torso and atria in the ECGI resolution is studied.A realistic 3D atrial geometry was located on 30 patient torsos and ECGI signals were calculated for 30 different AF simulations in each torso. Dominant frequency (DF) and reentrant activity analysis were calculated for each scenario. Anatomical and geometrical measurements of each torso (30-80% of variability between patients) and atria were calculated and compared with the errors in the ECGI estimation versus the departing EGM maps.Results show evidences that big chest dimensions worsen the non-invasive calculation of AF markers (p<0.05). Also, higher number of visible electrodes from each atrial region improves ECGI characterization measured as lower DF deviations (0.64±0.26 Hz vs 0.72±0.27 Hz, p<0.05) and higher reentrant activity coincidence (10.1±12.2% vs 3.4±3.4%, p<0.05).Torso and atrial geometry affect the quality of the non-invasive reconstruction of AF markers such as DF or reentrant activity. Knowing the geometrical parameters that worsen non-invasive AF maps may help to measure each detected AF driver reliability.