Literature DB >> 30632214

Identification of a closed cutaneous injury after mechanical trauma caused by collision.

Moon Young Park1, Jun Suk Choi2, Kyung Sook Kim1, Sungsoo Rhim2, Hyung Jin Park3, Min Kyung Shin3.   

Abstract

PURPOSE: Robotics has evolved rapidly in terms of mechanical design and control in the past few years. Collaborative robots that have direct contact with humans are being introduced in various fields, including industrial and medical services. Because collaborative robot systems are being introduced rapidly, the safety of the humans who work with them is becoming an important issue. In this study, we investigated skin injuries resulting from a collision between robots and humans using a freefall experiment system.
METHODS: We particularly focused on closed skin injuries caused by a collision. To induce a closed injury, we struck mini-pigs with cubic-edge square and semi-sphere impactors at collision speeds of 1 and 3 m/s. We did not observe any open injuries with those conditions. Closed injuries were observed in the dermal layer of the skin after the collision test at both speeds and with both impactors.
RESULTS: The collagen fiber in the dermal layer was separated and fragmented, and the subcutaneous fat layer became dense as a result of the collision.
CONCLUSIONS: We closely observed and analyzed the histopathologic changes in the dermal and subcutaneous layers with intact epidermis after mechanical trauma to the inner skin layers.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  closed skin injury; collaborative robots; collagen fiber; skin injury

Year:  2019        PMID: 30632214     DOI: 10.1111/srt.12670

Source DB:  PubMed          Journal:  Skin Res Technol        ISSN: 0909-752X            Impact factor:   2.365


  2 in total

1.  Postural Control When Using an Industrial Lower Limb Exoskeleton: Impact of Reaching for a Working Tool and External Perturbation.

Authors:  Benjamin Steinhilber; Robert Seibt; Monika A Rieger; Tessy Luger
Journal:  Hum Factors       Date:  2020-09-28       Impact factor: 3.598

2.  Noninvasive in vivo 3D bioprinting.

Authors:  Yuwen Chen; Jiumeng Zhang; Xuan Liu; Shuai Wang; Jie Tao; Yulan Huang; Wenbi Wu; Yang Li; Kai Zhou; Xiawei Wei; Shaochen Chen; Xiang Li; Xuewen Xu; Ludwig Cardon; Zhiyong Qian; Maling Gou
Journal:  Sci Adv       Date:  2020-06-05       Impact factor: 14.136

  2 in total

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