Suppr超能文献

虚拟轴定位器:一种确定胫股关节两个运动旋转轴的新方法。

Virtual axis finder: a new method to determine the two kinematic axes of rotation for the tibio-femoral joint.

作者信息

Roland Michelle, Hull M L, Howell S M

机构信息

Biomedical Engineering Program, One Shields Ave., University of California, Davis, CA 95616, USA.

出版信息

J Biomech Eng. 2010 Jan;132(1):011009. doi: 10.1115/1.4000163.

Abstract

The tibio-femoral joint has been mechanically approximated with two fixed kinematic axes of rotation, the longitudinal rotational (LR) axis in the tibia and the flexion-extension (FE) axis in the femur. The mechanical axis finder developed by Hollister et al. (1993, "The Axes of Rotation of the Knee," Clin. Orthop. Relat. Res., 290, pp. 259-268) identified the two fixed axes but the visual-based alignment introduced errors in the method. Therefore, the objectives were to develop and validate a new axis finding method to identify the LR and FE axes which improves on the error of the mechanical axis finder. The virtual axis finder retained the concepts of the mechanical axis finder but utilized a mathematical optimization to identify the axes. Thus, the axes are identified in a two-step process: First, the LR axis is identified from pure internal-external rotation of the tibia and the FE axis is identified after the LR axis is known. The validation used virtual simulations of 3D video-based motion analysis to create relative motion between the femur and tibia during pure internal-external rotation, and flexion-extension with coupled internal-external rotation. The simulations modeled tibio-femoral joint kinematics and incorporated 1 mm of random measurement error. The root mean squared errors (RMSEs) in identifying the position and orientation of the LR and FE axes with the virtual axis finder were 0.45 mm and 0.20 deg, and 0.11 mm and 0.20 deg, respectively. These errors are at least two times better in position and seven times better in orientation than those of the mechanical axis finder. Variables, which were considered a potential source of variation between joints and/or measurement systems, were tested for their sensitivity to the RMSE of identifying the axes. Changes in either the position or orientation of a rotational axis resulted in high sensitivity to translational RMSE (6.8 mm of RMSE per mm of translation) and rotational RMSE (1.38 deg of RMSE per degree of rotation), respectively. Notwithstanding these high sensitivities, corresponding errors can be reduced by segmenting the range of motion into regions where changes in either position or orientation are small. The virtual axis finder successfully increased the accuracy of the mechanical axis finder when the axes of motion are fixed with respect to the bones, but must be used judiciously in applications which do not have fixed axes of rotation.

摘要

胫股关节已通过两个固定的运动学旋转轴进行力学近似,即胫骨中的纵向旋转(LR)轴和股骨中的屈伸(FE)轴。Hollister等人(1993年,《膝关节的旋转轴》,《临床骨科及相关研究》,第290卷,第259 - 268页)开发的力学轴定位器确定了这两个固定轴,但基于视觉的对准方法在该方法中引入了误差。因此,目标是开发并验证一种新的轴定位方法,以确定LR轴和FE轴,该方法可改进力学轴定位器的误差。虚拟轴定位器保留了力学轴定位器的概念,但利用数学优化来确定轴。因此,轴的确定分两步进行:首先,从胫骨的单纯内外旋转中确定LR轴,在已知LR轴后确定FE轴。验证使用基于3D视频的运动分析的虚拟模拟,以在单纯内外旋转以及伴有耦合内外旋转的屈伸过程中创建股骨和胫骨之间的相对运动。模拟对胫股关节运动学进行建模,并纳入1毫米的随机测量误差。使用虚拟轴定位器确定LR轴和FE轴的位置和方向时,均方根误差(RMSE)分别为0.45毫米和0.20度,以及0.11毫米和0.20度。这些误差在位置上至少比力学轴定位器好两倍,在方向上至少好七倍。对于被认为是关节和/或测量系统之间潜在变化源的变量,测试了它们对确定轴的RMSE的敏感性。旋转轴位置或方向的变化分别导致对平移RMSE(每平移1毫米RMSE为6.8毫米)和旋转RMSE(每旋转1度RMSE为1.38度)的高敏感性。尽管有这些高敏感性,但通过将运动范围划分为位置或方向变化较小的区域,可以减少相应的误差。当运动轴相对于骨骼固定时,虚拟轴定位器成功提高了力学轴定位器的准确性,但在没有固定旋转轴的应用中必须谨慎使用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验