An Dawei, Yang Ming, Gu Xiaotong, Meng Fan, Yang Tianyue, Lin Shujing
Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Rev Sci Instrum. 2018 Feb;89(2):025108. doi: 10.1063/1.5005043.
Direct mechanical ventricular actuation is effective to reestablish the ventricular function with non-blood contact. Due to the energy loss within the driveline of the direct cardiac compression device, it is necessary to acquire the accurate value of assist pressure acting on the heart surface. To avoid myocardial trauma induced by invasive sensors, the noninvasive estimation method is developed and the experimental device is designed to measure the sample data for fitting the estimation models. By examining the goodness of fit numerically and graphically, the polynomial model presents the best behavior among the four alternative models. Meanwhile, to verify the effect of the noninvasive estimation, the simplified lumped parameter model is utilized to calculate the pre-support and the post-support left ventricular pressure. Furthermore, by adjusting the driving pressure beyond the range of the sample data, the assist pressure is estimated with the similar waveform and the post-support left ventricular pressure approaches the value of the adult healthy heart, indicating the good generalization ability of the noninvasive estimation method.
直接机械心室驱动可有效重建心室功能且不与血液接触。由于直接心脏按压装置的传动系统存在能量损失,有必要获取作用于心脏表面的辅助压力的准确值。为避免侵入性传感器导致的心肌损伤,开发了非侵入性估计方法,并设计了实验装置来测量样本数据以拟合估计模型。通过数值和图形方式检验拟合优度,多项式模型在四个备选模型中表现最佳。同时,为验证非侵入性估计的效果,利用简化的集总参数模型计算支持前和支持后的左心室压力。此外,通过将驱动压力调整到样本数据范围之外,以相似波形估计辅助压力,且支持后的左心室压力接近成年健康心脏的值,这表明非侵入性估计方法具有良好的泛化能力。