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首页> 外文期刊>Gait & posture >Implications of using hierarchical and six degree-of-freedom models for normal gait analyses.
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Implications of using hierarchical and six degree-of-freedom models for normal gait analyses.

机译:使用分层和六自由度模型进行正常步态分析的含义。

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摘要

Hierarchical biomechanical models (conventional gait model, CGM) are attractive because of simple data collection demands, yet they are susceptible to errors that are theoretically better controlled using six degree-of-freedom models that track body segments independently (OPT1). We wished to compare gait variables obtained with these models. Twenty-five normal children walked while wearing a hybrid marker configuration, permitting identical strides to be analyzed using CGM and OPT1. Kinematics and ground reaction forces were obtained using a common motion capture system. CGM and OPT1 were implemented in Visual3D software, where inverse dynamics provided 20 clinically relevant gait variables (joint angles, moments and powers). These were compared between models using dependent t-tests (Bonferroni-adjusted alpha of 0.0025), and ensemble averages. We hypothesized that OPT1 would provide data similar to CGM in the sagittal plane, and different from CGM in coronal and transverse planes. Six variables were significantly different in the sagittal plane, suggesting that CGM produced a more extended lower extremity; this was explained by a posterior bias to the lateral knee marker during knee flexion, as a result of skin movement artifact. No significant differences were found in coronal plane variables. Four variables were significantly different in the transverse plane. Ensemble averages were comparable between models. For normal children, biomechanical interpretations based upon these tested variables are unlikely to change due to independent segment tracking alone (CGM vs. OPT1). Additional differences may appear due to pathology, and when segment reference frames are changed from those used in CGM to reflect individual anatomy.
机译:分层的生物力学模型(常规步态模型,CGM)由于简单的数据收集需求而具有吸引力,但是它们容易受到错误的影响,这些错误在理论上可以通过使用六个自由度模型进行独立跟踪的OPT1更好地控制。我们希望比较通过这些模型获得的步态变量。 25名正常儿童走路时穿着混合标记配置,允许使用CGM和OPT1分析相同的步幅。运动学和地面反作用力是使用常见的运动捕获系统获得的。 CGM和OPT1在Visual3D软件中实现,逆动力学提供了20种临床相关的步态变量(关节角度,力矩和力量)。使用相关的t检验(Bonferroni调整后的alpha为0.0025)和整体平均值在模型之间进行了比较。我们假设OPT1将在矢状面中提供与CGM类似的数据,而在冠状面和横断面中提供与CGM不同的数据。矢状面的六个变量显着不同,表明CGM产生了更广泛的下肢。这是由于皮肤运动伪影导致膝关节屈曲时侧膝标记向后偏。在冠状面变量中未发现显着差异。四个变量在横向平面上显着不同。模型之间的整体平均水平是可比的。对于正常儿童,仅凭独立的分段跟踪(CGM与OPT1),基于这些测试变量的生物力学解释就不太可能改变。由于病理原因,以及从CGM中使用的段参考框架更改以反映单个解剖结构时,可能会出现其他差异。

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