Advanced Electrical Modeling of Biological Tissues: New Trends and Their Impact on Bioimpedance Interpretation

Authors

  • Svetlana Kashina Universidad de Guanajuato
  • Rafael Guzman Cabrera Universidad de Guanajuato
  • José Marco Balleza Ordaz Universidad de Guanajuato

DOI:

https://doi.org/10.13053/cys-29-2-5750

Abstract

Bioimpedance is a non-invasive technique that measures the electrical properties of biological tissues to assess composition and functional states, such as water content and hydration status. Widely applied in clinical settings (e.g., dialysis, heart failure monitoring) and research (e.g., tissue engineering, tumor characterization), it is valued for its simplicity, low cost, and repeatability. However, traditional models like the Cole model and RC circuits assume tissue homogeneity and isotropy, leading to errors in heterogeneous, anisotropic tissues. Recent advancements in electrical modeling, including multilayer, anisotropic, and image-based approaches, address these limitations. Multilayer models improve heterogeneity representation in muscles and tumors, while anisotropic models using conductivity tensors enhance accuracy in electrical impedance tomography (EIT). Imaging techniques like X-ray microtomography provide 3D structural data, aiding diagnostics in skin tumors, and tools like singular perturbation theory and stereology model small inclusions and quantify tissue properties. These advances reduce extracellular fluid volume estimation errors by up to 15% and measurement errors in heterogeneous tissues by 20 30%, improving applications like lung ventilation mapping and early pathology detection (e.g., 88% sensitivity in breast cancer). AI integration further enhances precision, achieving over 90% accuracy in heart failure fluid predictions. Clinical applications include optimized dialysis protocols and sports training, while portable EIT wearables enable real-time monitoring. ultrasound integration to strengthen bioimpedance’s role in personalized medicine. These advancements revolutionize bioimpedance interpretation, enhancing diagnostic accuracy and clinical accessibility.

Downloads

Published

2025-06-29

Issue

Vol. 29 No. 2 (2025): 29(2) 2025

Section

Articles of the Thematic Section

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.