Multidirectional In Vivo Characterization of Skin Using Wiener Nonlinear Stochastic System Identification Techniques

Show simple item record Parker, Matthew en Jones, LA en Hunter, IW en Taberner, Andrew en Nash, Martyn en Nielsen, Poul en 2017-03-19T23:35:01Z en 2016-11-04 en
dc.identifier.citation Journal of Biomechanical Engineering 139(1):11 pages Article number 011004 04 Nov 2016 en
dc.identifier.issn 0148-0731 en
dc.identifier.uri en
dc.description.abstract A triaxial force-sensitive microrobot was developed to dynamically perturb skin in multiple deformation modes, in vivo. Wiener static nonlinear identification was used to extract the linear dynamics and static nonlinearity of the force–displacement behavior of skin. Stochastic input forces were applied to the volar forearm and thenar eminence of the hand, producing probe tip perturbations in indentation and tangential extension. Wiener static nonlinear approaches reproduced the resulting displacements with variances accounted for (VAF) ranging 94–97%, indicating a good fit to the data. These approaches provided VAF improvements of 0.1–3.4% over linear models. Thenar eminence stiffness measures were approximately twice those measured on the forearm. Damping was shown to be significantly higher on the palm, whereas the perturbed mass typically was lower. Coefficients of variation (CVs) for nonlinear parameters were assessed within and across individuals. Individual CVs ranged from 2% to 11% for indentation and from 2% to 19% for extension. Stochastic perturbations with incrementally increasing mean amplitudes were applied to the same test areas. Differences between full-scale and incremental reduced-scale perturbations were investigated. Different incremental preloading schemes were investigated. However, no significant difference in parameters was found between different incremental preloading schemes. Incremental schemes provided depth-dependent estimates of stiffness and damping, ranging from 300 N/m and 2 Ns/m, respectively, at the surface to 5 kN/m and 50 Ns/m at greater depths. The device and techniques used in this research have potential applications in areas, such as evaluating skincare products, assessing skin hydration, or analyzing wound healing. en
dc.publisher ASME en
dc.relation.ispartofseries Journal of Biomechanical Engineering en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title Multidirectional In Vivo Characterization of Skin Using Wiener Nonlinear Stochastic System Identification Techniques en
dc.type Journal Article en
dc.identifier.doi 10.1115/1.4034993 en
pubs.issue 1 en
pubs.volume 139 en
dc.rights.holder Copyright: ASME en
dc.identifier.pmid 27760249 en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 543510 en Bioengineering Institute en ABI Associates en Engineering en Engineering Science en Science en Science Research en Maurice Wilkins Centre (2010-2014) en
dc.identifier.eissn 1528-8951 en
pubs.number 011004 en
pubs.record-created-at-source-date 2017-03-20 en
pubs.dimensions-id 27760249 en

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