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肌肉组织阻抗测量中的电路建模

Circuital modelling in muscle tissue impedance measurements.

作者信息

Clemente Fabrizio, Amato Francesco, Adamo Sarah, Russo Michela, Angelone Francesca, Ponsiglione Alfonso Maria, Romano Maria

机构信息

Institute of Crystallography, Italian National Research Council, Italy.

Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125, Naples, Italy.

出版信息

Heliyon. 2024 Mar 27;10(7):e28723. doi: 10.1016/j.heliyon.2024.e28723. eCollection 2024 Apr 15.

DOI:10.1016/j.heliyon.2024.e28723
PMID:38596118
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11002046/
Abstract

Electrical impedance spectroscopy (EIS) stands as a widely employed characterization technique for studying muscular tissue in both physio/pathological conditions. This methodology commonly involves modeling tissues through equivalent electrical circuits, facilitating a correlation between electrical parameters and physiological properties. Within existing literature, diverse equivalent electrical circuits have been proposed, varying in complexity and fitting properties. However, to date, none have definitively proven to be the most suiTable for tissue impedance measurements. This study aims to outline a systematic methodology for EIS measurements and to compare the performances of three widely used electrical circuits in characterizing both physiological and pathological muscle tissue conditions. Results highlight that, for optimal fitting with electrical parameters relevant to tissue characterization, the choice of the circuit to be fitted closely hinges on the specific measurement objectives, including measurement parameters and associated physiological features. Naturally, this necessitates a balance between simplicity and fitting accuracy.

摘要

电阻抗谱(EIS)是一种广泛应用的表征技术,用于研究生理/病理条件下的肌肉组织。该方法通常通过等效电路对组织进行建模,从而促进电参数与生理特性之间的关联。在现有文献中,已经提出了各种等效电路,其复杂性和拟合特性各不相同。然而,迄今为止,尚无一种电路被明确证明是最适合组织阻抗测量的。本研究旨在概述一种用于EIS测量的系统方法,并比较三种广泛使用的电路在表征生理和病理肌肉组织条件方面的性能。结果表明,为了与与组织表征相关的电参数进行最佳拟合,要拟合的电路的选择紧密取决于特定的测量目标,包括测量参数和相关的生理特征。当然,这需要在简单性和拟合精度之间取得平衡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/fa5ab15bb1f9/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/02343e84f065/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/51dfc56b6615/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/ee81d0943486/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/78f3ba700f23/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/2159141b5675/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/fa5ab15bb1f9/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/02343e84f065/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/51dfc56b6615/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/ee81d0943486/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/78f3ba700f23/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/2159141b5675/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b4d/11002046/fa5ab15bb1f9/gr6.jpg

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