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利用生物阻抗光谱法估计动脉直径：计算模拟和组织体模分析。

Towards Estimating Arterial Diameter Using Bioimpedance Spectroscopy: A Computational Simulation and Tissue Phantom Analysis.

机构信息

Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1010, New Zealand.

出版信息

Sensors (Basel). 2022 Jun 23;22(13):4736. doi: 10.3390/s22134736.

DOI:10.3390/s22134736
PMID:35808233
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9268936/
Abstract

This paper improves the accuracy of quantification in the arterial diameter-dependent impedance variance by altering the electrode configuration. The finite element analysis was implemented with a 3D human wrist fragment using ANSYS Electronics Desktop, containing fat, muscle, and a blood-filled radial artery. Then, the skin layer and bones were stepwise added, helping to understand the dielectric response of multi-tissues and blood flow from 1 kHz to 1 MHz, the current distribution throughout the wrist, and the optimisation of electrode configurations for arterial pulse sensing. Moreover, a low-cost wrist phantom was fabricated, containing two components: the surrounding tissue simulant (20 wt % gelatine power and 0.017 M sodium chloride (NaCl) solution) and the blood simulant (0.08 M NaCl solution). The blood-filled artery was constricted using a desktop injection pump, and the impedance change was measured by the Multi-frequency Impedance Analyser (MFIA). The simulation revealed the promising capabilities of band electrodes to generate a more uniform current distribution than the traditional spot electrodes. Both simulation and phantom experimental results indicated that a longer spacing between current-carrying (CC) electrodes with shorter spacing between pick-up (PU) electrodes in the middle could sense a more uniform electric field, engendering a more accurate arterial diameter estimation. This work provided an improved electrode configuration for more accurate arterial diameter estimation from the numerical simulation and tissue phantom perspectives.

摘要

本文通过改变电极配置来提高动脉直径相关阻抗变化的定量准确性。使用 ANSYS Electronics Desktop 对包含脂肪、肌肉和充满血液的桡动脉的 3D 人类腕部片段进行了有限元分析。然后，逐步添加皮肤层和骨骼，有助于了解从 1 kHz 到 1 MHz 的多组织介电响应和血流、整个手腕的电流分布以及用于动脉脉搏感测的电极配置的优化。此外，还制作了一个低成本的腕部模型，包含两个组件：周围组织模拟物（20 wt % 明胶粉和 0.017 M 氯化钠（NaCl）溶液）和血液模拟物（0.08 M NaCl 溶液）。使用台式注射泵使充满血液的动脉收缩，并使用多频阻抗分析仪（MFIA）测量阻抗变化。模拟结果表明，与传统的点电极相比，带电极具有产生更均匀电流分布的潜力。模拟和模型实验结果均表明，中间电流承载（CC）电极之间的间距更长，而与拾取（PU）电极之间的间距更短，可以感应更均匀的电场，从而更准确地估计动脉直径。这项工作从数值模拟和组织模型的角度提供了一种改进的电极配置，用于更准确地估计动脉直径。

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