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首页> 外文期刊>Gait & posture >A new formulation of the coefficient of multiple correlation to assess the similarity of waveforms measured synchronously by different motion analysis protocols.
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A new formulation of the coefficient of multiple correlation to assess the similarity of waveforms measured synchronously by different motion analysis protocols.

机译:一种新的多重相关系数公式,用于评估由不同运动分析协议同步测量的波形的相似性。

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摘要

Different 3D motion analysis protocols are currently available, but little is known regarding the level of similarity of their outcomes, e.g. whether a joint-angle waveform from one protocol can be interchanged with that measured by another protocol. Similarity assessments are therefore urgent to ease the comparison of results. In this context, a major issue is how to quantify the similarity between waveforms measured synchronously through different protocols, within each of many movement-cycles (e.g. gait-cycle), when the effect of protocols on waveforms similarity is the only of interest. For this purpose we developed a new formulation of the statistical index called coefficient of multiple correlation (CMC). The CMC measures the overall similarity of waveforms taking into account the concurrent effects of differences in offset, correlation, and gain. The within-day CMC originally proposed by Kadaba et al. [7], was firstly reinterpreted in terms of "excluded factors". Then, the new formulation was set to assess the inter-protocol similarity, removing the between-gait-cycle variability. An example showing the effectiveness of the new formulation is presented regarding the pelvis-trunk and ankle kinematics.
机译:当前可以使用不同的3D运动分析协议,但对其结果的相似性水平知之甚少,例如一个协议的关节角波形是否可以与另一协议测量的关节角波形互换。因此,相似性评估迫切需要简化结果的比较。在这种情况下,一个主要问题是,当协议对波形相似性的影响是唯一令人关注的问题时,如何在多个运动周期(例如步态周期)的每个周期内,量化通过不同协议同步测量的波形之间的相似性。为此,我们开发了一种新的统计指标公式,称为多重相关系数(CMC)。 CMC在考虑偏移,相关性和增益差异的同时影响的情况下,测量波形的总体相似性。 Kadaba等人最初提出的一日内CMC。 [7],首先被重新解释为“排除因素”。然后,设置新的配方以评估协议间的相似性,消除步态间的变异性。展示了有关骨盆运动和脚踝运动学的新配方有效性的示例。

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