IEEE Trans Biomed Eng. 2018 Nov;65(11):2552-2559. doi: 10.1109/TBME.2018.2807879. Epub 2018 Feb 19.
The aim of this work was to model the blood flow rate of the POLVAD-MEV pulsatile ventricular assist device (VAD). An adequate flow rate is crucial to restore physiological cardiac output. Unfortunately, during clinical heart support, neither blood flows nor pressures can be measured within the device. In general, the flow rate depends on the control parameters and patient conditions. However, the patient's hemodynamic parameters are not constantly monitored. Therefore, blood flow must be evaluated based on the standard measurements from the device control unit.
The model identification data were taken from a research stand consisting of a VAD connected to a hybrid cardiovascular simulator. The studies were conducted under different work and control conditions. A compound model of a ventricular assist device was proposed. First, the driving pressure waveform for an idle run of the supply unit is modeled. Next, the blood flow is estimated based on the difference between the measured value of driving pressure and the modeled value for an idle run.
The quality of the developed model is good (R=0.92) and similar for all tested cases, confirming the high versatility of the proposed solution.
The blood flow rate is estimated based on standard signals from the device control unit; therefore, no additional measurements are necessary.
The developed model application in the VAD control unit will aid the selection of control parameters and might be useful for development of adaptive control system. A preliminary version of this work was reported at the [1].
本研究旨在建立 POLVAD-MEV 脉动式心室辅助装置(VAD)的血流率模型。足够的血流率对于恢复生理心输出量至关重要。然而,在临床心脏支持期间,无法在设备内测量血流和压力。一般来说,血流率取决于控制参数和患者状况。然而,患者的血流动力学参数并未被持续监测。因此,必须根据设备控制单元的标准测量值来评估血流。
模型识别数据取自由 VAD 连接到混合心血管模拟器的研究台。在不同的工作和控制条件下进行了研究。提出了一种心室辅助装置的组合模型。首先,对供应单元空转时的驱动压力波形进行建模。然后,根据测量的驱动压力值与空转时的建模值之间的差值来估计血流。
所开发模型的质量良好(R=0.92),且对所有测试案例的适用性相似,证实了所提出解决方案的高度通用性。
血流率是根据设备控制单元的标准信号来估计的,因此无需进行额外的测量。
该模型在 VAD 控制单元中的应用将有助于控制参数的选择,并且对于自适应控制系统的开发可能有用。本工作的初步版本曾在[1]中报道。