In vivo skin anisotropy dataset from annular suction test
- PMID: 35106340
- PMCID: PMC8784637
- DOI: 10.1016/j.dib.2022.107835
In vivo skin anisotropy dataset from annular suction test
Abstract
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.
Keywords: Anisotropy; Annular suction; Digital image correlation; In vivo; Multi-axial testing; Skin; Viscoelasticity.
© 2022 Published by Elsevier Inc.
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article.
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References
-
- D. André, PyDIC, a python suite for local digital image correlation, (2019). https://gitlab.com/damien.andre/pydic. Accessed January 17, 2021.
-
- Rosado C., Antunes F., Barbosa R., Fernando R., Rodrigues L. Cutiscan® - a new system of biomechanical evaluation of the skin in vivo - comparative study of use depending on the anatomical site: Cutiscan® - Um novo sistema de avaliação biomecânica da pele in vivo - estudo comparativo de utilização em função do loca. J. Biomed. Biopharm. Res. 2015;12(3):49–57. 06.
-
- Laiacona D., Cohen J., Coulon K., Lipsky Z.W., Maiorana C., Boltyanskiy R., Dufresne E.R., German G.K. Non-invasive in vivo quantification of human skin tension lines. Acta Biomater. 2019;88:141–148. - PubMed
-
- Elouneg A., Lucot Q., Veyrat-Durebex E.L.A., Lejeune A., Chambert J., Lihoreau T., Chatelain B., Rolin G., Jacquet E. Biomechanical characterization of earlobe keloid by ring suction test. Comput. Methods Biomech. Biomed. Eng. 2020;23(sup1):S99–S100.
-
- B. D. Lucas, T. Kanade, An iterative image registration technique with an application to stereo vision, In: Proceedings of the international joint conference on artificial intelligence. (1981) 674–679.
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