Pulse Wave Modeling Using Bio-Impedance Simulation Platform Based on a 3D Time-Varying Circuit Model.
Pulse Wave Modeling Using Bio-Impedance Simulation Platform Based on a 3D Time-Varying Circuit Model.
复制标题
基于三维时变电路模型的生物阻抗仿真平台的脉搏波建模
DOI：
10.1109/tbcas.2021.3059211
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发表时间：
2021-03
影响因子：
5.1
通讯作者：
Jafari R
中科院分区：
文献类型：
--
作者：
Ibrahim B;Hall DA;Jafari R
心血管疾病(CVD)威胁许多人的生命，影响他们的生产力。心血管疾病的诊断是通过血流动力学参数在一天中显著变化来诊断的。可穿戴传感器可以持续监测血流动力学参数，以改善心血管疾病的诊断和管理。生物阻抗(Bio-Z)是一种有效的非侵入性动脉脉搏波监测传感器，基于其电流信号在组织内的深度穿透而引起的动脉血容量变化。然而，电极相对于动脉的位置和电极的配置对测量数据有很大影响。在这项工作中，我们创建了一个Bio-Z仿真平台，使用基于时变阻抗网格的3D电路模型来模拟组织、动脉脉搏波和Bio-Z传感配置。提出了一种新的方法来精确模拟血液、脂肪、肌肉和骨骼等不同组织类型的3D电路模型，以及通过可变阻抗模型来模拟动脉的搏动活动。该电路模型在SPICE中进行了仿真，可用于指导设计决策(即相对于动脉的电极位置和电极配置)，以优化实验前的脉搏波监测。我们提供了不同传感器位置、电极大小、电流注入频率和动脉深度的动脉脉搏波形的广泛模拟。通过Bio-Z实验测量对模拟结果进行了验证。该模型将使研究人员和设计人员能够创建随时间变化的血流模型，并快速测试传感方法和算法的有效性，而不需要进行广泛的实验。
Cardiovascular disease (CVD) threatens the lives of many and affects their productivity. CVD is diagnosed through hemodynamic parameters that vary significantly throughout the day. Wearable sensors can enable continuous monitoring of hemodynamic parameters to improve the diagnosis and management of CVD. Bio-Impedance (Bio-Z) is an effective non-invasive sensor for arterial pulse wave monitoring based on blood volume changes in the artery due to the deep penetration of its current signal inside the tissue. However, the measured data are significantly affected by the placement of electrodes relative to the artery and the electrode configuration. In this work, we created a Bio-Z simulation platform that models the tissue, arterial pulse wave, and Bio-Z sensing configuration using a 3D circuit model based on a time-varying impedance grid. A new method is proposed to accurately simulate the different tissue types such as blood, fat, muscles, and bones in a 3D circuit model in addition to the pulsatile activity of the arteries through a variable impedance model. This circuit model is simulated in SPICE and can be used to guide design decisions (i.e. electrode placement relative to the artery and electrode configuration) to optimize the monitoring of pulse wave prior to experimentation. We present extensive simulations of the arterial pulse waveform for different sensor locations, electrode sizes, current injection frequencies, and artery depths. The simulations are validated by experimental Bio-Z measurements. This model will enable researchers and designers to create time-varying blood flow models and rapidly test the effectiveness of the sensing methods and algorithms without the need for extensive experimentation.