Deschamps Kevin, Staes Filip, Desmet Dirk, Roosen Philip, Matricali Giovanni Arnoldo, Keijsers Noel, Nobels Frank, Tits Jos, Bruyninckx Herman
J Am Podiatr Med Assoc. 2016 Jul;106(4):299-304. doi: 10.7547/14-140.
Comparing the dynamic pedobarographic patterns of individuals is common practice in basic and applied research. However, this process is often time-consuming and complex, and commercially available software often lacks powerful visualization and interpretation tools.
We propose a simple method for displaying pixel-level pedobarographic deviations over time relative to a so-called reference pedobarographic pattern. This novel method contains four distinct automated preprocessing stages: 1) normalization of pedobarographic fields (for foot length and width), 2) temporal normalization, 3) a pixel-level z-score-based calculation, and 4) color coding of the normalized pedobarographic fields. Group and patient-level comparisons were illustrated using an experimental data set including diabetic and nondiabetic patients.
The automated procedure was found to be robust and quantified distinct temporal deviations in pedobarographic fields.
The advantages of the novel method cover several domains, including visualization, interpretation, and education.
在基础研究和应用研究中，比较个体的动态足底压力图模式是常见的做法。然而，这个过程通常既耗时又复杂，而且市面上的软件往往缺乏强大的可视化和解读工具。
我们提出了一种简单的方法，用于显示相对于所谓参考足底压力图模式随时间变化的像素级足底压力偏差。这种新方法包含四个不同的自动预处理阶段：1）足底压力图区域归一化（针对足长和足宽），2）时间归一化，3）基于像素级z分数的计算，以及4）归一化足底压力图区域的颜色编码。使用包括糖尿病患者和非糖尿病患者的实验数据集说明了组水平和患者水平的比较。
发现该自动化程序稳健，并量化了足底压力图区域明显的时间偏差。
该新方法的优点涵盖多个领域，包括可视化、解读和教育。
