Real-Time Electrical Bioimpedance Characterization of Neointimal Tissue for Stent Applications
AbstractTo follow up the restenosis in arteries stented during an angioplasty is an important current clinical problem. A new approach to monitor the growth of neointimal tissue inside the stent is proposed on the basis of electrical impedance spectroscopy (EIS) sensors and the oscillation-based test (OBT) circuit technique. A mathematical model was developed to analytically describe the histological composition of the neointima, employing its conductivity and permittivity data. The bioimpedance model was validated against a finite element analysis (FEA) using COMSOL Multiphysics software. A satisfactory correlation between the analytical model and FEA simulation was achieved in most cases, detecting some deviations introduced by the thin “double layer” that separates the neointima and the blood. It is hereby shown how to apply conformal transformations to obtain bioimpedance electrical models for stack-layered tissues over coplanar electrodes. Particularly, this can be applied to characterize the neointima in real-time. This technique is either suitable as a main mechanism for restenosis follow-up or it can be combined with proposed intelligent stents for blood pressure measurements to auto-calibrate the sensibility loss caused by the adherence of the tissue on the micro-electro-mechanical sensors (MEMSs). View Full-Text
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Rivas-Marchena, D.; Olmo, A.; Miguel, J.A.; Martínez, M.; Huertas, G.; Yúfera, A. Real-Time Electrical Bioimpedance Characterization of Neointimal Tissue for Stent Applications. Sensors 2017, 17, 1737.
Rivas-Marchena D, Olmo A, Miguel JA, Martínez M, Huertas G, Yúfera A. Real-Time Electrical Bioimpedance Characterization of Neointimal Tissue for Stent Applications. Sensors. 2017; 17(8):1737.Chicago/Turabian Style
Rivas-Marchena, David; Olmo, Alberto; Miguel, José A.; Martínez, Mar; Huertas, Gloria; Yúfera, Alberto. 2017. "Real-Time Electrical Bioimpedance Characterization of Neointimal Tissue for Stent Applications." Sensors 17, no. 8: 1737.
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