Article
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A Pilot Study Examining the Dielectric Response of Human Forearm Tissues
Version 1
: Received: 20 July 2023 / Approved: 20 July 2023 / Online: 20 July 2023 (11:50:15 CEST)
A peer-reviewed article of this Preprint also exists.
Yu, Y.; Kalra, A.M.; Anand, G.; Lowe, A. A Pilot Study Examining the Dielectric Response of Human Forearm Tissues. Biosensors 2023, 13, 961. Yu, Y.; Kalra, A.M.; Anand, G.; Lowe, A. A Pilot Study Examining the Dielectric Response of Human Forearm Tissues. Biosensors 2023, 13, 961.
Abstract
This work aims to describe the dielectric behaviours of four main tissues in the human forearm using mathematical modelling, including fat, muscle, blood, and bone. Determining the electrical response of multiple tissues can help develop physiological monitoring of an organ or a body’s section by filtering out the impedance contributions from the surrounding tissues to blood flow-induced impedance variations. Multi-frequency bioimpedance analysis (MF-BIA) was initially performed using the finite element method (FEM) with a 3D forearm model followed by a pilot study to characterise the response of actual forearm tissues from 1 kHz to 349 kHz. Both the simulation and experimental results were fitted to a single-dispersion Cole model (SDCM) and a multi-dispersion Cole model (MDCM) to determine the Cole parameters for each tissue. The correlation analysis and Bland-Altman plot indicated a good fit between raw and fitted impedance values using both SDCM and MDCM. Overall, MDCM exhibited better performance in fitting and estimation of the Cole parameters with correlation coefficient (R2) of 0.99 and 0.97, root mean squared error (RMSE) of 0.09 Ω and 0.14 Ω, and mean difference (mean±standard deviation) of 0.00±0.09 Ω and -0.03±0.14 Ω for the real part and imaginary part of impedance, respectively.
Keywords
multi‐frequency bioimpedance analysis (MF‐BIA); forearm; Cole model; dielectric properties; finite element method
Subject
Engineering, Bioengineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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