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首页> 外文期刊>Gait & posture >Linear dependence of peak, mean, and pressure-time integral values in plantar pressure images.
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Linear dependence of peak, mean, and pressure-time integral values in plantar pressure images.

机译:足底压力图像中峰值,平均值和压力时间积分值的线性相关性。

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摘要

Dynamic plantar pressure images are routinely used in clinical gait assessment, and peak pressure, mean pressure, and pressure-time integral are the most frequently used parameters to summarize these images. Many studies report only one parameter, but other studies report all three. The interdependency of these variables has not been explicitly studied previously. The purpose of this study was to describe the linear relation between these three pressure parameters. 327 subjects walked normally over a pressure plate. Peak pressure, mean pressure and pressure-time integral were calculated for 10 different anatomical areas and, after applying a previously described spatial normalization procedure, these variables were also calculated for each pixel. Mean pressure was highly correlated with peak pressure (r=0.90+/-0.09) and pressure-time integral (r=0.81+/-0.13) for pixels. Peak pressure and pressure-time integral showed a linear correlation coefficient of r=0.78+/-0.21. The pressure parameters of the forefoot pixels were more highly correlated than the heel pixels. The current results have two major implications: (1) plantar pressure parameters (peak, mean, and impulse) can be reasonably compared across studies, even across parameters, and (2) the variables most commonly used to characterize plantar pressures are highly inter-correlated, implying that a smaller set of parameters may more efficiently capture the biomechanical behavior of interest.
机译:动态足底压力图像通常用于临床步态评估,峰值压力,平均压力和压力时间积分是最常用的参数来汇总这些图像。许多研究仅报告一个参数,而其他研究则报告所有三个参数。这些变量的相互依赖性以前没有明确研究过。这项研究的目的是描述这三个压力参数之间的线性关系。 327名受试者正常在压力板上行走。计算了10个不同解剖区域的峰值压力,平均压力和压力时间积分,并且在应用了先前描述的空间归一化程序之后,还为每个像素计算了这些变量。平均压力与像素的峰值压力(r = 0.90 +/- 0.09)和压力时间积分(r = 0.81 +/- 0.13)高度相关。峰值压力和压力时间积分的线性相关系数为r = 0.78 +/- 0.21。前脚像素的压力参数比脚后跟像素的相关性更高。当前的结果有两个主要含义:(1)跨研究,甚至跨参数都可以合理地比较足底压力参数(峰值,均值和脉冲),以及(2)最常用于表征足底压力的变量之间相关联,这意味着较小的一组参数可以更有效地捕获感兴趣的生物力学行为。

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