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

机译：虚拟轴查找器：一种确定胫股关节两个运动学旋转轴的新方法。

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摘要

The tibio-femoral joint has been mechanically modeled with two fixed kinematic axes of rotation, the longitudinal rotational axis in the tibia (LR axis) and the flexion-extension axis in the femur (FE axis). Several methods currently exist in the literature to approximate these axes of rotation; however, each has its limitations. Thus, the objective of this work was to develop a new method that incorporates a mathematical optimization that reduces the position and orientation errors in identifying both axes of rotation. The method was thoroughly validated both virtually and mechanically. The virtual axis finder identifies the axes 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 two-step process allows the coupled internal-external rotation that occurs during natural bending to be mathematically eliminated. Validation of the method was performed virtually with simulations of normal knee kinematics as well as mechanically with a two-rotational axis mechanism that modeled normal knee kinematics. Both validation techniques modeled roentgen stereophotogrammetric analysis (RSA) and 3D video based motion analysis. The orientation and position root mean square errors (RMSEs) for identifying the LR and FE axes with motion analysis (0.20°, 0.45mm, 0.20° and 0.11 mm, respectively) were smaller than with RSA (1.22°, 0.50 mm, 0.83° and 0.37 mm, respectively) with the virtual validation. Similarly, the orientation and position RMSEs for identifying the LR and FE axes with motion analysis (0.26°, 0.28 mm, 0.36° and 0.25 mm, respectively) were smaller than with RSA (1.04°, 0.84 mm, 0.82° and 0.32 mm, respectively) with the mechanical validation. Both measurement modalities produced satisfactory results; however, 3D video based motion analysis has smaller errors than RSA with in vitro, bone mounted markers. Because skin motion artifact was not included in the validations, applications of this method with in vivo conditions should either be used with RSA, or more work is required to assess the affect of skin motion artifact with 3D video-based motion analysis on the virtual axis finder.
机译：胫股关节已通过两个固定的运动学旋转轴进行了机械建模，其中，胫骨的纵向旋转轴（LR轴）和股骨的屈伸轴（FE轴）。文献中目前存在几种近似于这些旋转轴的方法。但是，每个都有其局限性。因此，这项工作的目的是开发一种结合了数学优化方法的新方法，该方法可以减少识别两个旋转轴时的位置和方向误差。该方法在虚拟和机械方面都经过了充分验证。虚拟轴查找器通过两步过程识别轴：首先，从胫骨的纯内外旋转识别LR轴，然后在知道LR轴后识别FE轴。两步过程可以在数学上消除自然弯曲过程中发生的内外耦合旋转。该方法的验证实际上是通过模拟正常膝关节运动学以及机械模拟具有模拟正常膝关节运动学的两转轴机制进行的。两种验证技术均以伦琴立体摄影测量分析（RSA）和基于3D视频的运动分析为模型。用于通过运动分析识别LR和FE轴的方向和位置均方根误差（RMSE）（分别为0.20°，0.45mm，0.20°和0.11 mm）小于RSA（1.22°，0.50 mm，0.83°）和分别为0.37毫米）和虚拟验证。同样，通过运动分析来识别LR和FE轴的方向和位置RMSE（分别为0.26°，0.28 mm，0.36°和0.25 mm）比RSA时小（1.04°，0.84 mm，0.82°和0.32 mm，分别）与机械验证。两种测量方式均产生令人满意的结果。但是，基于3D视频的运动分析比带有体外骨骼安装标记的RSA具有更小的误差。由于验证中未包括皮肤运动伪影，因此应将此方法在体内条件下的应用与RSA一起使用，或者需要更多工作来评估基于虚拟轴上基于3D视频的运动分析对皮肤运动伪影的影响。发现者。

著录项

  • 作者

    Roland, Michelle.;

  • 作者单位

    University of California, Davis.;

  • 授予单位 University of California, Davis.;
  • 学科 Engineering Biomedical.;Health Sciences Medicine and Surgery.;Engineering Mechanical.
  • 学位 M.S.
  • 年度 2010
  • 页码 62 p.
  • 总页数 62
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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