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Pedobarographic Statistical Parametric Mapping of plantar pressure data in new and confident walking infants: A preliminary analysis
Journal of Biomechanics ( IF 2.4 ) Pub Date : 2021-09-22 , DOI: 10.1016/j.jbiomech.2021.110757
Eleonora Montagnani 1 , Stewart C Morrison 1 , Matyas Varga 1 , Carina Price 2
Affiliation  

In infancy, plantar pressure data during walking has been investigated through regional approaches, whilst the use pedobarographic Statistical Parametric Mapping (pSPM) has not been reported. Analysis of pressure data using pSPM is higher in resolution and can enhance understanding of foot function development, providing novel insights into plantar pressure changes. This work aims to detail the implementation of the pSPM data processing framework on infants' pressure data, comparing plantar pressure patterns between new and confident walking steps. Twelve infants walked across an EMED- xl platform. Steps were extracted and imported into MATLAB for analysis. Maximum pressure pictures were transformed to point clouds and registered within and between participants with iterative closest point and coherent point drift algorithms, respectively. Root mean square error (RMSE) was calculated within both registrations as a quality measure. Pressure patterns were compared between new and confident walking using nonparametric-paired sample SPM1D t-test. RMSEs were under 1 mm for both registration algorithms. In the transition to confident walking, significantly increasing pressure was detected in the left central forefoot. Implementing pSPM to infants' pressure data was non-trivial, as several phases of data processing were required to ensure a robust approach. Our analysis highlighted the presence of significant changes in pressure in central left forefoot after 2.2 months of walking, which have not been reported before. This can be explained as previous regional approaches in infancy considered the forefoot as whole, preventing detection of changes in discrete anatomical regions.



中文翻译:

新的和自信的步行婴儿足底压力数据的足底压力统计参数映射:初步分析

在婴儿期,步行过程中的足底压力数据已通过区域方法进行了调查,而使用足底气压统计参数映射 (pSPM) 的报道尚未见报道。使用 pSPM 分析压力数据的分辨率更高,可以增强对足部功能发展的理解,提供对足底压力变化的新见解。这项工作旨在详细说明 pSPM 数据处理框架对婴儿压力数据的实施,比较新步行步骤和自信步行步骤之间的足底压力模式。12 个婴儿走过 EMED-xl 平台。提取步骤并导入MATLAB进行分析。最大压力图片被转换为点云,并分别使用迭代最近点和相干点漂移算法在参与者内部和参与者之间进行注册。在两个注册中计算均方根误差 (RMSE) 作为质量度量。使用非参数配对样本 SPM1D 比较新步行和自信步行之间的压力模式t检验。两种配准算法的 RMSE 均低于 1 mm。在向自信行走的过渡过程中,检测到左前脚中央的压力显着增加。对婴儿的压力数据实施 pSPM 并非易事,因为需要数据处理的几个阶段来确保稳健的方法。我们的分析强调了行走 2.2 个月后左前脚中部压力的显着变化,这在以前没有报道过。这可以解释为之前的婴儿期区域方法将前足视为整体,防止检测离散解剖区域的变化。

更新日期:2021-09-24
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