Simulation of Impedance Measurements at Human Upper Arm within 10 KHZ to 1 MHZ with the Vary of Fat Layers from 10MM to 25MM

8 pages•Published: May 14, 2020

Minh Hiep Do Tran, Phuong Vi Ngo, Quang Linh Huynh and Thuy Nguyen Nhu Son

Abstract

The work presents a simulation analysis of the bioimpedance at the human upper arm using the finite element method (FEM). Comsol Multiphysics has been used to create the 3D model with four domains of dielectric behavior: skin, fat, muscle, and bone. The main objective of this paper is to study the effect of the fat thickness and frequency on three parameters: resistance, reactance, and phase. The impedance values were calculated as the ratio of the output voltage at the electrodes and the applied current (1 mA). The measurements were done at four different values of the fat layer (10mm, 15mm, 20mm, and 25mm) and the electrical properties of the upper arm were used. The results clarify that the fat layer has a significant impact on the upper arm impedance across the frequency spectrum, resistance, and phase appear to be more affected than reactance.

Keyphrases: bioimpedance, comsol, fem, simulation, upper arm

In: Tich Thien Truong, Trung Nghia Tran, Quoc Khai Le and Thanh Nha Nguyen (editors). Proceedings of International Symposium on Applied Science 2019, vol 3, pages 262-269.

Links:	https://easychair.org/publications/paper/sxTD
	https://doi.org/10.29007/rz1b

BibTeX entry

@inproceedings{ISAS2019:Simulation_Impedance_Measurements_at,
  author    = {Minh Hiep Do Tran and Phuong Vi Ngo and Quang Linh Huynh and Thuy Nguyen Nhu Son},
  title     = {Simulation of Impedance Measurements at Human Upper Arm within 10 KHZ to 1 MHZ with the Vary of Fat Layers from 10MM to 25MM},
  booktitle = {Proceedings of International Symposium on Applied Science 2019},
  editor    = {Tich Thien Truong and Trung Nghia Tran and Quoc Khai Le and Thanh Nha Nguyen},
  series    = {Kalpa Publications in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1770},
  url       = {/publications/paper/sxTD},
  doi       = {10.29007/rz1b},
  pages     = {262-269},
  year      = {2020}}

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