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.
Preliminary experimental identification of a FEM human knee model / Arpaia, Pasquale; Crauso, Federica; Grassini, Sabrina; Minucci, Simone; Moccaldi, Nicola; Sannino, Isabella. - ELETTRONICO. - (2020), pp. 1-6. (Intervento presentato al convegno 15th IEEE International Symposium on Medical Measurements and Applications - MeMeA2020 tenutosi a Bari, Italyari, Italy nel 1-3 June 2020) [10.1109/MeMeA49120.2020.9137187].
Preliminary experimental identification of a FEM human knee model
Grassini, Sabrina;Sannino, Isabella
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.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2841353