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    Modeling the Mechanical Response of In Vivo Human Skin Under a Rich Set of Deformations

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    Type
    Article
    Authors
    Flynn, Cormac
    Taberner, Andrew
    Nielsen, Poul
    KAUST Grant Number
    KUK-C1-013-04
    Date
    2011-03-11
    Online Publication Date
    2011-03-11
    Print Publication Date
    2011-07
    Permanent link to this record
    http://hdl.handle.net/10754/598863
    
    Metadata
    Show full item record
    Abstract
    Determining the mechanical properties of an individual's skin is important in the fields of pathology, biomedical device design, and plastic surgery. To address this need, we present a finite element model that simulates the skin of the anterior forearm and posterior upper arm under a rich set of three-dimensional deformations. We investigated the suitability of the Ogden and Tong and Fung strain energy functions along with a quasi-linear viscoelastic law. Using non-linear optimization techniques, we found material parameters and in vivo pre-stresses for different volunteers. The model simulated the experiments with errors-of-fit ranging from 13.7 to 21.5%. Pre-stresses ranging from 28 to 92 kPa were estimated. We show that using only in-plane experimental data in the parameter optimization results in a poor prediction of the out-of-plane response. The identifiability of the model parameters, which are evaluated using different determinability criteria, improves by increasing the number of deformation orientations in the experiments. © 2011 Biomedical Engineering Society.
    Citation
    Flynn C, Taberner A, Nielsen P (2011) Modeling the Mechanical Response of In Vivo Human Skin Under a Rich Set of Deformations. Ann Biomed Eng 39: 1935–1946. Available: http://dx.doi.org/10.1007/s10439-011-0292-7.
    Sponsors
    This work was supported by the New Zealand Foundation for Research, Science, and Technology, through grants NERF 139400 and NERF 9077/3608892. This publication is also based on work supported in part by Award No KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST).
    Publisher
    Springer Nature
    Journal
    Annals of Biomedical Engineering
    DOI
    10.1007/s10439-011-0292-7
    PubMed ID
    21394556
    ae974a485f413a2113503eed53cd6c53
    10.1007/s10439-011-0292-7
    Scopus Count
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