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In vivo skin anisotropy dataset from annular suction test
To characterize the anisotropic and viscoelastic behaviors of the skin, we conducted an experimental campaign of in-vivo suction tests using the CutiScan®CS100 device from Courage and Khazaka electronics. In this data paper, we present the raw acquired data of the tests and their respective treated...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784637/ https://www.ncbi.nlm.nih.gov/pubmed/35106340 http://dx.doi.org/10.1016/j.dib.2022.107835 |
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author | Elouneg, Aflah Bertin, Audrey Lucot, Quentin Tissot, Vincent Jacquet, Emmanuelle Chambert, Jérôme Lejeune, Arnaud |
author_facet | Elouneg, Aflah Bertin, Audrey Lucot, Quentin Tissot, Vincent Jacquet, Emmanuelle Chambert, Jérôme Lejeune, Arnaud |
author_sort | Elouneg, Aflah |
collection | PubMed |
description | To characterize the anisotropic and viscoelastic behaviors of the skin, we conducted an experimental campaign of in-vivo suction tests using the CutiScan®CS100 device from Courage and Khazaka electronics. In this data paper, we present the raw acquired data of the tests and their respective treated data. The tests were performed 30 times on the anterior forearm of a 28-year-old Caucasian male at different pressure set-points, ranging from 100 to 500 mbar with an increment of 20 mbar, at ambient temperature in a windowless room. The primary dataset consists of videos recorded by a probe camera associated with the CutiScan® device during the tests. After data treatment with DIC (Digital Image Correlation) technique and based on a homemade Python program, we have obtained secondary data tables and 2D displacement for all mapped grid nodes. |
format | Online Article Text |
id | pubmed-8784637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87846372022-01-31 In vivo skin anisotropy dataset from annular suction test Elouneg, Aflah Bertin, Audrey Lucot, Quentin Tissot, Vincent Jacquet, Emmanuelle Chambert, Jérôme Lejeune, Arnaud Data Brief Data Article To characterize the anisotropic and viscoelastic behaviors of the skin, we conducted an experimental campaign of in-vivo suction tests using the CutiScan®CS100 device from Courage and Khazaka electronics. In this data paper, we present the raw acquired data of the tests and their respective treated data. The tests were performed 30 times on the anterior forearm of a 28-year-old Caucasian male at different pressure set-points, ranging from 100 to 500 mbar with an increment of 20 mbar, at ambient temperature in a windowless room. The primary dataset consists of videos recorded by a probe camera associated with the CutiScan® device during the tests. After data treatment with DIC (Digital Image Correlation) technique and based on a homemade Python program, we have obtained secondary data tables and 2D displacement for all mapped grid nodes. Elsevier 2022-01-15 /pmc/articles/PMC8784637/ /pubmed/35106340 http://dx.doi.org/10.1016/j.dib.2022.107835 Text en © 2022 Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Elouneg, Aflah Bertin, Audrey Lucot, Quentin Tissot, Vincent Jacquet, Emmanuelle Chambert, Jérôme Lejeune, Arnaud In vivo skin anisotropy dataset from annular suction test |
title | In vivo skin anisotropy dataset from annular suction test |
title_full | In vivo skin anisotropy dataset from annular suction test |
title_fullStr | In vivo skin anisotropy dataset from annular suction test |
title_full_unstemmed | In vivo skin anisotropy dataset from annular suction test |
title_short | In vivo skin anisotropy dataset from annular suction test |
title_sort | in vivo skin anisotropy dataset from annular suction test |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784637/ https://www.ncbi.nlm.nih.gov/pubmed/35106340 http://dx.doi.org/10.1016/j.dib.2022.107835 |
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