Liu, X., Maiti, R., Lu, Z.H. et al. (3 more authors) (2017) New Non-invasive Techniques to Quantify Skin Surface Strain and Sub-surface Layer Deformation of Finger-pad during Sliding. Biotribology.
Abstract
Studies on the variation of skin properties with gender, age and anatomical region, with regards to interaction with different materials have resulted in significant research output. Investigations on skin surface strain and sub-surface layer deformation during sliding, however, have not received as much attention. This novel study uses two non-invasive techniques, optical coherence tomography (OCT) and digital image correlation (DIC), to measure properties of the index finger of a 25. year old female when under normal and shear loading. Measurements were taken during static, and for the first time, dynamic phases.It was observed that the number of ridges in contact with a Quartz glass surface, observed under OCT, reduced when the finger started sliding. The sliding also resulted in deformation at the stratum corneum junction. The surface strain, analysed using DIC was higher nearer to the distal interphalangeal joint compared to the fingertip. This newly developed approach provides a powerful and non-invasive method to study the structural changes of finger-pad skin during loading and sliding. This approach can now be repeated at different anatomical locations for medical, bioengineering and consumer applications.
Metadata
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Copyright, Publisher and Additional Information: | © 2017 Elsevier. This is an author produced version of a paper subsequently published in Biotribology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) | ||||||
Keywords: | Sliding; Optical coherence tomography; Digital image correlation; Finger-pad | ||||||
Dates: |
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Institution: | The University of Sheffield | ||||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
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Funding Information: |
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Depositing User: | Symplectic Sheffield | ||||||
Date Deposited: | 07 Aug 2017 15:36 | ||||||
Last Modified: | 18 Jul 2018 00:39 | ||||||
Published Version: | https://doi.org/10.1016/j.biotri.2017.07.001 | ||||||
Status: | Published online | ||||||
Publisher: | Elsevier | ||||||
Refereed: | Yes | ||||||
Identification Number: | https://doi.org/10.1016/j.biotri.2017.07.001 |
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Filename: Biotribology 2017 Dynamic OCT ARC.pdf
Licence: CC-BY-NC-ND 4.0