Institute of Biomedical Engineering, Universität Karlsruhe (TH), Karlsruhe, Germany.
IEEE Trans Biomed Eng. 2009 Nov;56(11):2573-82. doi: 10.1109/TBME.2009.2027692. Epub 2009 Jul 28.
Electrode positions and timing delays influence the efficacy of biventricular pacing (BVP). Accordingly, this study focuses on BVP optimization, using a detailed 3-D electrophysiological model of the human heart, which is adapted to patient-specific anatomy and pathophysiology. The research is effectuated on ten heart models with left bundle branch block and myocardial infarction derived from magnetic resonance and computed tomography data. Cardiac electrical activity is simulated with the ten Tusscher cell model and adaptive cellular automaton at physiological and pathological conduction levels. The optimization methods are based on a comparison between the electrical response of the healthy and diseased heart models, measured in terms of root mean square error (E(RMS)) of the excitation front and the QRS duration error (E(QRS)). Intra- and intermethod associations of the pacing electrodes and timing delays variables were analyzed with statistical methods, i.e., t -test for dependent data, one-way analysis of variance for electrode pairs, and Pearson model for equivalent parameters from the two optimization methods. The results indicate that lateral the left ventricle and the upper or middle septal area are frequently (60% of cases) the optimal positions of the left and right electrodes, respectively. Statistical analysis proves that the two optimization methods are in good agreement. In conclusion, a noninvasive preoperative BVP optimization strategy based on computer simulations can be used to identify the most beneficial patient-specific electrode configuration and timing delays.
电极位置和时滞延迟会影响双心室起搏(BVP)的效果。因此,本研究专注于使用适用于患者特定解剖结构和病理生理学的详细 3D 人体心脏电生理模型来进行 BVP 优化。该研究基于从磁共振和计算机断层扫描数据中获得的 10 个具有左束支传导阻滞和心肌梗死的心脏模型。采用 ten Tusscher 细胞模型和生理和病理传导水平的自适应细胞自动机模拟心脏电活动。优化方法基于健康和患病心脏模型的电响应之间的比较,以均方根误差(E(RMS))和 QRS 持续时间误差(E(QRS))来衡量。使用统计方法分析起搏电极和时滞延迟变量的内-间方法相关性,即相关数据的 t 检验、电极对的单向方差分析和来自两种优化方法的等效参数的 Pearson 模型。结果表明,左侧心室和上或中隔区域是左、右电极的常见(60%的病例)最佳位置。统计分析证明了两种优化方法之间的良好一致性。总之,可以使用基于计算机模拟的非侵入性术前 BVP 优化策略来确定最有益的患者特定电极配置和时滞延迟。