Gao Bo, Zheng Naiquan Nigel
Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
J Biomech. 2008 Nov 14;41(15):3189-95. doi: 10.1016/j.jbiomech.2008.08.028. Epub 2008 Oct 18.
Skin marker-based stereophotogrammetry is the most widely used technique for human motion analysis but its accuracy is mainly limited by soft tissue artifact (STA) which reflects the non-rigidity of human body segments during activities. To compensate for the effects of STA and improve the accuracy of motion analysis, it is critical to understand the behavior and characteristics of soft tissue movement. By using a non-invasive approach, this study investigated the soft tissue movement on the thigh and shank of twenty healthy subjects during level walking which is one of the most important human daily activities and the basic content of clinical gait analysis. With the measurement of inter-marker translations and rotations on each segment, a 4D picture (3D space and time) of soft tissue deformation on the thigh and shank during walking was quantified in terms of the positional and orientational change between different skin locations. Soft tissue deformation showed nonuniform distribution at different locations as well as along different directions. The range of inter-marker movement was found to be up to 19.1mm/19.6 degrees on the thigh and 9.3mm/8.6 degrees on the shank. Results in this study provide useful information for understanding soft tissue movement behavior and exploring better marker configurations. Inter-marker movement exhibited similar patterns across subjects. This finding suggests the possibility that STA has inter-subject similarity, which is contrary to the prevailing opinion. This new insight may lead to more effective STA compensation strategies for skin marker-based motion analysis.
基于皮肤标记的立体摄影测量法是人体运动分析中使用最广泛的技术,但其准确性主要受软组织伪影(STA)的限制,软组织伪影反映了人体各节段在活动过程中的非刚性。为了补偿STA的影响并提高运动分析的准确性,了解软组织运动的行为和特征至关重要。本研究采用非侵入性方法,对20名健康受试者在平地行走过程中大腿和小腿的软组织运动进行了研究,平地行走是人类最重要的日常活动之一,也是临床步态分析的基本内容。通过测量每个节段上标记点之间的平移和旋转,根据不同皮肤位置之间的位置和方向变化,对行走过程中大腿和小腿软组织变形的四维图像(三维空间和时间)进行了量化。软组织变形在不同位置以及不同方向上呈现出不均匀分布。发现大腿上标记点间的移动范围可达19.1毫米/19.6度,小腿上为9.3毫米/8.6度。本研究结果为理解软组织运动行为和探索更好的标记配置提供了有用信息。标记点间的移动在不同受试者之间呈现出相似的模式。这一发现表明STA可能存在个体间相似性,这与普遍观点相反。这一新见解可能会为基于皮肤标记的运动分析带来更有效的STA补偿策略。