Skin injury occurrence estimation model for the wearable robot use and its experimental validation

Chang-Hwan Lee, K. Gwak
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Abstract

The wearable robot's support delivered to the human wearer induces various types of force and pressure interactions. Continued and repeated interaction of shear stress and normal pressure with human skin under the cuff eventually leads to pain and skin injury. In fact, redness and abrasions corresponding to pressure ulcers(PU) have been reported in real wearable robot use cases. In addition, the authors confirmed cases of similar outbreak of pressure ulcer through interviews with wearable robot users, physicians, and robot makers. However, studies on PU breakout mechanisms related to the use of wearable robots are very rare. Therefore, we developed the skin injury breakout time estimation model in the wearable robot use environment through the comprehensive analysis of PU breakout mechanism in general biomedical circumstances. Three major causes of PU and their relationship with breakout time were identified, and two unmeasurable causes of PU were converted into the measurable skin normal pressure by applying the friction coefficient and FEM analysis of human muscular skeletal tissue. Through this conversion process, it was possible to establish a pressure ulcer breakout time estimation model based on the measurable skin normal pressure. The proposed PU breakout time estimation model was validated through experiments with human subject.
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可穿戴机器人皮肤损伤发生率估计模型及其实验验证
可穿戴机器人提供给人类佩戴者的支撑会引起各种类型的力和压力相互作用。剪切应力和正常压力与袖带下的人体皮肤持续和反复的相互作用最终导致疼痛和皮肤损伤。事实上,在真实的可穿戴机器人使用案例中,已经报告了与压疮(PU)相关的红肿和擦伤。此外,作者通过对可穿戴机器人用户、医生和机器人制造商的采访确认了类似的压疮爆发病例。然而,与可穿戴机器人的使用相关的PU突破机制的研究非常少。因此,我们通过综合分析一般生物医学环境下PU破环机理,建立了可穿戴机器人使用环境下皮肤损伤破环时间估计模型。通过对人体肌肉骨骼肌组织的摩擦系数和有限元分析,确定了PU的三个主要原因及其与破裂时间的关系,并将PU的两个不可测原因转化为可测的皮肤法向压力。通过这一转换过程,可以建立基于可测皮肤正常压力的压疮爆发时间估计模型。通过人体实验验证了所提出的PU破断时间估计模型的有效性。
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