Province R A, Fishler M G, Thakor N V
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.
Ann Biomed Eng. 1993;21(1):19-31. doi: 10.1007/BF02368161.
We present computer simulations of electrical defibrillation in a three-dimensional model of the ventricles of the heart. In this model, called HEARTSIM, the ventricles are represented by 1473 cubic elements with 3 mm sides. The action potential is described by five discrete states; absolutely refractory, three relatively refractory, and repolarized. Activation is propagated to an element's six orthogonal neighbors with the conduction velocity dependent on the refractory state of the neighbor. Delivery of several extra-stimuli with decrementing coupling intervals results in ventricular fibrillation. Following the onset of ventricular fibrillation, we simulate defibrillation using various electrode configurations, shock energies, and timings. The current density distributions in the heart model resulting from the defibrillation shocks are determined from finite element analysis of the electric fields produced by the delivery of high energy shocks. The simulations suggest that successful defibrillation shocks produce a short period of low activation followed by a complete cessation of activation for a duration of 387 +/- 162 ms. In contrast, unsuccessful shocks produce a significantly shorter period of low activation (70 +/- 12 ms) after which ventricular fibrillation resumes. HEARTSIM mimics the experimentally reported, highly variable response to near-threshold shocks--the energy for successful defibrillation varies widely (20.8 +/- 20.7 J). In addition, the success rate vs. energy curve has a sigmoidal shape that is consistent with experiments. We demonstrate that this variability in the energy requirement results from dynamic variability in the number of elements made refractory by the shock and the relative distribution of the activation pattern at the time of the shock. Further, we show that it may be possible to lower the defibrillation energy requirements by delivery of two successive low energy pulses. The most efficient timing for the second pulse corresponds to the repolarization of the elements that were excited by the first pulse. Thus, when the interval between the two pulses was 85 +/- 18 ms, the defibrillation threshold energy (DFE) is reduced by 30.7 +/- 10% with pulses of 10 ms duration, and 62.6 +/- 7.9% with pulses of 5 ms duration. Our simulations also show that there is a delicate balance of energy between the two pulses that must be reached in order to achieve energy reduction with double pulse defibrillation. In conclusion, HEARTSIM serves as a tool for studying the underlying mechanisms of the effects of DF shocks on ventricular arrhythmias, and assists in evaluation of improved strategies for shock delivery.
我们展示了在心脏心室三维模型中的电除颤计算机模拟。在这个名为HEARTSIM的模型中,心室由边长为3毫米的1473个立方单元表示。动作电位由五个离散状态描述:绝对不应期、三个相对不应期和复极化期。激活以依赖于相邻单元不应期状态的传导速度传播到一个单元的六个正交相邻单元。以递减的耦合间期递送多个额外刺激会导致心室颤动。在心室颤动发作后,我们使用各种电极配置、电击能量和时机来模拟除颤。由除颤电击产生的心脏模型中的电流密度分布是通过对高能电击递送产生的电场进行有限元分析来确定的。模拟结果表明,成功的除颤电击会产生一段短暂的低激活期,随后激活完全停止,持续时间为387±162毫秒。相比之下,不成功的电击产生的低激活期明显更短(70±12毫秒),之后心室颤动恢复。HEARTSIM模拟了实验报道的对接近阈值电击的高度可变反应——成功除颤所需的能量变化很大(20.8±20.7焦耳)。此外,成功率与能量曲线呈S形,与实验结果一致。我们证明,这种能量需求的变异性是由电击使不应期单元数量的动态变异性以及电击时激活模式的相对分布引起的。此外,我们表明,通过递送两个连续的低能量脉冲,有可能降低除颤能量需求。第二个脉冲的最有效时机对应于由第一个脉冲激发的单元的复极化。因此,当两个脉冲之间的间期为85±18毫秒时,对于持续时间为10毫秒的脉冲,除颤阈值能量(DFE)降低30.7±10%,对于持续时间为5毫秒的脉冲,降低62.6±7.9%。我们的模拟还表明,为了通过双脉冲除颤实现能量降低,两个脉冲之间必须达到微妙的能量平衡。总之,HEARTSIM作为一种工具,用于研究除颤电击对室性心律失常影响的潜在机制,并有助于评估改进的电击递送策略。