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Background: 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.
Methods: 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.
Results: The automated procedure was found to be robust and quantified distinct temporal deviations in pedobarographic fields.
Conclusions: The advantages of the novel method cover several domains, including visualization, interpretation, and education.
Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Multidisciplinary Diabetic Foot Clinic, University Hospitals Leuven, KU Leuven, Leuven, Belgium.