Lumped parameter model (LPM) is a common numerical model for hemodynamic simulation of human’s blood circulatory system. The numerical simulation of enhanced external counterpulsation (EECP) is a typical biomechanical simulation process based on the LPM of blood circulatory system. In order to simulate patient-specific hemodynamic effects of EECP and develop best treatment strategy for each individual, this study developed an optimization algorithm to individualize LPM elements. Physiological data from 30 volunteers including approximate aortic pressure, cardiac output, ankle pressure and carotid artery flow were clinically collected as optimization objectives. A closed-loop LPM was established for the simulation of blood circulatory system. Aiming at clinical data, a sensitivity analysis for each element was conducted to identify the significant ones. We improved the traditional simulated annealing algorithm to iteratively optimize the sensitive elements. To verify the accuracy of the patient-specific model, 30 samples of simulated data were compared with clinical measurements. In addition, an EECP experiment was conducted on a volunteer to verify the applicability of the optimized model for the simulation of EECP. For these 30 samples, the optimization results show a slight difference between clinical data and simulated data. The average relative root mean square error is lower than 5%. For the subject of EECP experiment, the relative error of hemodynamic responses during EECP is lower than 10%. This slight error demonstrated a good state of optimization. The optimized modeling algorithm can effectively individualize the LPM for blood circulatory system, which is significant to the numerical simulation of patient-specific hemodynamics.

集总参数模型（LPM）是用于人体血液循环系统血液动力学模拟的通用数值模型。增强型外部反搏（EECP）的数值模拟是基于血液循环系统LPM的典型生物力学模拟过程。为了模拟EECP对患者的特定血流动力学影响并制定针对每个个体的最佳治疗策略，本研究开发了一种优化算法来个性化LPM元素。临床上收集了来自30名志愿者的生理数据，包括近似主动脉压，心输出量，脚踝压力和颈动脉血流作为优化目标。建立了一个闭环LPM，用于血液循环系统的仿真。针对临床数据 对每个元素进行了敏感性分析，以识别出重要元素。我们改进了传统的模拟退火算法，以迭代方式优化敏感元素。为了验证特定于患者的模型的准确性，将30个模拟数据样本与临床测量值进行了比较。此外，在志愿者上进行了EECP实验，以验证优化模型对EECP仿真的适用性。对于这30个样品，优化结果显示临床数据和模拟数据之间存在细微差异。平均相对均方根误差低于5％。对于EECP实验的受试者，EECP期间血流动力学反应的相对误差低于10％。这个轻微的错误表明优化状态良好。