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植入式支架闭塞的生物阻抗感应:智能支架。

Bioimpedance Sensing of Implanted Stent Occlusions: Smart Stent.

机构信息

Instituto de Microelectrónica de Sevilla (IMSE-CSIC), Universidad de Sevilla, 41012 Sevilla, Spain.

Departamento de Física Aplicada III, Universidad de Sevilla, 41012 Sevilla, Spain.

出版信息

Biosensors (Basel). 2022 Jun 15;12(6):416. doi: 10.3390/bios12060416.

Abstract

Coronary artery disease is one of the most common diseases in developed countries and affects a large part of the population of developing countries. Preventing restenosis in patients with implanted stents is an important current medical problem. The purpose of this work is to analyse the viability of bioimpedance sensing to detect the formation of atheromatous plaque in an implantable stent. Simulations in COMSOL Multiphysics were performed to analyse the performance of the proposed bioimpedance sensing system, based on the Sheffield technique. Both non-pathological and pathological models (with atheromatous plaque), including the flow of blood were considered. Simulations with the non-pathological model showed a homogeneous distribution of the measured current intensity in the different electrodes, for every configuration. On the other hand, simulations with the pathological model showed a significant decrease of the measured current intensity in the electrodes close to the simulated atheromatous plaque. The presence of the atheromatous plaque can, therefore, be detected by the system with a simple algorithm, avoiding the full reconstruction of the image and the subsequent computational processing requirements.

摘要

冠状动脉疾病是发达国家最常见的疾病之一,也影响了发展中国家的大部分人口。预防植入支架患者的再狭窄是当前一个重要的医学问题。本工作的目的是分析生物阻抗感应在检测可植入支架中动脉粥样硬化斑块形成方面的可行性。在 COMSOL Multiphysics 中进行了模拟,以分析基于谢菲尔德技术的拟议生物阻抗感应系统的性能。同时考虑了非病理性和病理性模型(包括血流)。非病理性模型的模拟显示,对于每种配置,在不同电极中测量的电流强度都呈现均匀分布。另一方面,病理性模型的模拟显示,在靠近模拟动脉粥样硬化斑块的电极中,测量的电流强度显著降低。因此,该系统可以通过简单的算法检测到动脉粥样硬化斑块的存在,避免了图像的完全重建和随后的计算处理要求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e0/9221340/a834177428bc/biosensors-12-00416-g001.jpg

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