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首页> 外文期刊>Gait & posture >Independent assessment of pattern and offset variability of time series waveforms.
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Independent assessment of pattern and offset variability of time series waveforms.

机译:独立评估时间序列波形的图案和偏移变异性。

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摘要

In quantitative gait analysis, two types of variability of kinematic waveforms with identifiably different sources may be distinguished: variability of the offset values (mean or DC values) of the waveforms and variability of the waveform patterns. Offset variability is influenced by the repeatability of the motor performance as well as by additional factors related to reliability and errors of measurement, such as individual differences in the mean posture chosen for the performance and factors related to the definition and measurement of the reference position for each angle. All of these factors may have a considerable effect on the coefficient of variation, a measure that is commonly employed to assess kinematic variability. Waveform pattern variability, in contrast, is more manifestly determined by the repeatability of the motor performance and is less subject to factors related to offset value. Hence, we propose that offset variability and pattern variability be evaluated separately and outline an approach to accomplish this by first removing the mean value of raw kinematic waveforms before averaging across trials or subjects. Independent measurement of pattern variability and offset variability is shown to yield values that are markedly different from the traditional coefficient of variation, which reflects all sources of variability in a single measure. The benefit of the procedures proposed here is that they help to differentiate among largely independent causes of variability of kinematic waveforms and to quantify their relative magnitudes. By way of illustration, in a group of subjects with low-arched feet, where waveform offsets are of particular interest, midfoot and ankle rotation angles showed smaller pattern variability and larger offset variability than normal.
机译:在定量步态分析中,可以区分出具有明显不同来源的运动波形的两种类型的可变性:波形的偏移值(均值或DC值)的可变性和波形模式的可变性。偏移的可变性受电动机性能的可重复性以及与可靠性和测量误差有关的其他因素的影响,例如,为性能选择的平均姿势的个体差异以及与定义和测量参考位置有关的因素每个角度。所有这些因素都可能对变异系数产生重大影响,变异系数是一种通常用于评估运动变异性的方法。相反,波形模式的可变性更明显地由电动机性能的可重复性确定,并且较少受到与偏移值有关的因素的影响。因此,我们建议分别评估偏移量变异性和模式变异性,并概述通过在对试验或受试者取平均值之前首先去除原始运动波形平均值的方法来实现这一目标。独立测量的模式变异性和偏移变异性显示出与传统变异系数显着不同的值,传统变异系数在单个度量中反映了所有变异性来源。这里提出的程序的好处是,它们有助于区分运动波形变化的很大程度上独立的原因,并量化其相对幅度。通过说明的方式,在一组具有低足型足的受试者中,尤其需要注意波形偏移,中足和脚踝旋转角度显示出比正常情况下较小的图案变化和较大的偏移变化。

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