A Pilot Study Examining the Dielectric Response of Human Forearm Tissues
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Published:2023-10-29
Issue:11
Volume:13
Page:961
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ISSN:2079-6374
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Container-title:Biosensors
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language:en
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Short-container-title:Biosensors
Author:
Yu Yang1ORCID,
Kalra Anubha Manju1,
Anand Gautam1ORCID,
Lowe Andrew1ORCID
Affiliation:
1. Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1010, New Zealand
Abstract
This work aims to describe the dielectric behaviors of four main tissues in the human forearm using mathematical modelling, including fat, muscle, blood and bone. Multi-frequency bioimpedance analysis (MF-BIA) was initially performed using the finite element method (FEM) with a 3D forearm model to estimate impedance spectra from 10 kHz to 1 MHz, followed by a pilot study involving two healthy subjects to characterize 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. Cole-type responses of both simulated and actual human forearms were observed. A paired t-test based on the root mean squared error (RMSE) values indicated that both Cole models performed comparably in fitting both simulated and measured bioimpedance data. However, MDCM exhibited higher accuracy, with a correlation coefficient (R2) of 0.99 and 0.89, RMSE of 0.22 Ω and 0.56 Ω, mean difference (mean ± standard deviation) of 0.00 ± 0.23 Ω and −0.28 ± 0.23 Ω, and mean absolute error (MAE) of 0.0007 Ω and 0.2789 Ω for the real part and imaginary part of impedance, respectively. Determining the electrical response of multi-tissues can be helpful in developing physiological monitoring of an organ or a section of the human body through MF-BIA and hemodynamic monitoring by filtering out the impedance contributions from the surrounding tissues to blood-flow-induced impedance variations.
Funder
Institute of Biomedical Technologies, Auckland University of Technology
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology
Subject
Clinical Biochemistry,General Medicine,Analytical Chemistry,Biotechnology,Instrumentation,Biomedical Engineering,Engineering (miscellaneous)
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