Comparison of kinematic and kinetic parameters calculated using a cluster-based model and Vicon's plug-in gait
Comparison of kinematic and kinetic parameters calculated using a cluster-based model and Vicon's plug-in gait
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DOI：
10.1177/0954411913518747
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发表时间：
2014-02-01
期刊：
影响因子：
1.8
通讯作者：
McGregor, Alison H.
中科院分区：
文献类型：
--
作者：
Duffell, Lynsey D.;Hope, Natalie;McGregor, Alison H.
步态分析是一种重要的临床工具。步态分析使用了各种模型，每个模型都产生了不同的结果。模型输出中的错误可能由于不准确的标记放置和皮肤运动伪影而发生，这可以使用基于集群的模型来减少。我们的目标是将定制的集群模型(ClusBB)与Vcon的插入式步态进行比较。共有21名健康受试者同时佩戴ClusBB步态模型和插电式步态模型的标记集，同时走在6米长的人行道上。同时采集标记板和测力板数据，并使用两种模型计算关节角度/力矩。两种模型具有良好的相关性(多重相关系数0.65)和良好的会话内相关性(多重相关系数0.80)。受试者之间的变异性很大，矢状面从15度到40度不等，冠状面和横断面从11度到52度不等。无论是ClusBB步态模型还是插入式步态模型，受试者内部的变异性都很小。在两种膝关节外展/内收模型中，受试者之间的差异往往很高，但对于插入式步态来说尤其如此，这表明基于集群的模型可能会减少变异性。考虑到临床决策中对这些数据集的依赖，矢状面外数据的受试者间差异在临床上具有特别重要的意义。
Gait analysis is an important clinical tool. A variety of models are used for gait analysis, each yielding different results. Errors in model outputs can occur due to inaccurate marker placement and skin motion artefacts, which may be reduced using a cluster-based model. We aimed to compare a custom-made cluster model (ClusBB) with Vicon's plug-in gait. A total of 21 healthy subjects wore marker sets for the ClusBB and plug-in gait models simultaneously while walking on a 6-m walkway. Marker and force plate data were captured synchronously and joint angles/moments were calculated using both models. There was good correlation between the models (coefficient of multiple correlations > 0.65) and good intra-session correlation for both models (coefficient of multiple correlations > 0.80). Inter-subject variability was high, ranging from 15 degrees to 40 degrees in the sagittal plane and 11 degrees to 52 degrees in the coronal and transverse planes. Intra-subject variability was small for both ClusBB and plug-in gait models. Inter-subject variance tended to be high in both models for knee abduction/adduction, but particularly so for plug-in gait, suggesting that a cluster-based model may reduce the variability. The inter-subject variance in out-of-sagittal plane data is of particular importance clinically, given the reliance on these datasets in clinical decision-making.