Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/46206
Title: Preliminary experimental identification of a FEM human knee model
Authors: Arpaia, Pasquale
Crauso, Federica
Grassini, Sabrina
Minucci, S. 
Moccaldi, Nicola
Sannino, Isabella
Issue Date: 2020
Abstract: 
A customizable Finite Elements Model of human knee is proposed for improving inter-individual reproducibility in NSAIDs transdermal delivery measurement. The model simulates: (i) the measurement system, based on Bio-Impedance Spectroscopy, and (ii) the system under test, namely the knee by five parallel, homogeneous, and concentric layers: bone, muscle, adipose tissue, wet skin, and dry skin. In this paper, first the equations and the architecture of the model are described. Then, the results of the numerical characterization and the preliminary experimental validation are reported. A sensitivity analysis was realized for reducing computational burden during Model customization. Only five parameters out of the 64 used in the Cole-Cole equation were sufficient for fitting experimental data of different subjects.
URI: http://hdl.handle.net/2067/46206
ISBN: 978-1-7281-5386-5
DOI: 10.1109/MeMeA49120.2020.9137187
Appears in Collections:D1. Contributo in Atti di convegno

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