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. 2022 Jan 15:40:107835.
doi: 10.1016/j.dib.2022.107835. eCollection 2022 Feb.

In vivo skin anisotropy dataset from annular suction test

Affiliations

In vivo skin anisotropy dataset from annular suction test

Aflah Elouneg et al. Data Brief. .

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.

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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.

Figures

Fig 1
Fig. 1
Screenshot of a recorded ring suction test video performed with CutiScan® CS100 probe-camera, taken from the video file ‘2020_12_15\p_300\2020_12_15_300.avi’.
Fig 2
Fig. 2
Illustration of displacement field vectors with a scale factor of 5, with an image scale of ‘950 pixel / 5 mm’. The blue points represent the grid nodes with a gap of 20 pixels and a correlation window size of 72 pixels. The image file path is ‘2020_12_15\p_300\DISP_FIG\frame0041_disp.png’.
Fig 3
Fig. 3
Application of Cutiscan® on human forearm anterior.
Fig 4
Fig. 4
Cutiscan® probe-camera cross-section .
Fig 5
Fig. 5
Orientation axis of probe and observation zone.
Fig 6
Fig. 6
Pressures set-points of the two loading cycles.
Fig 7
Fig. 7
A preview of derived graphs from temporal-spatial data analysis.

References

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