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03 July 2019 : Clinical Research  

Quantitative Analysis of Foot Plantar Pressure During Walking

Barbara Jasiewicz1ABCDEFG*, Ewa Klimiec2ABCDE, Magdalena Młotek3BCDE, Piotr Guzdek2ABCDE, Sławomir Duda1BCEFG, Jakub Adamczyk1BCDE, Tomasz Potaczek1ADEF, Jacek Piekarski2BCDE, Grzegorz Kołaszczyński2BCDE

DOI: 10.12659/MSM.914915

Med Sci Monit 2019; 25:4916-4922

Abstract

BACKGROUND: There are many methods of dynamic analysis of foot loading, however, we still need a simple, easily applicable system for foot plantar pressure analysis. In this study we asked the question: “Can a new system for foot evaluation, the ITE System, provide a good quantitative dynamic foot pressure analysis? Can it be used in clinical practice?”.

MATERIAL AND METHODS: Twenty healthy volunteers, 8 females and 12 males, aged 20 to 25 years old took part in this study. Normal static foot loading was tested using a typical pedobarographic platform, followed by a dynamic analysis using the foot-pressure ITE System. A new algorithm for data analysis (from 8 sensors) was proposed.

RESULTS: The sum of all maximal values from sensors was 11.71 N mean, with relatively low standard deviation (SD) of 1.81. Loading of sensor 1 (heel) was the highest – on average 29.84%. Sensor 2 (medial midfoot) received the lowest loading – normal range for this segment would be 0–4%. The manner of loading heel/toes, dynamics of changes in loading during gait was quite diverse; when analyzing courses of changes on sensors, 4 gait patterns were observed.

CONCLUSIONS: Use of the ITE System creates a new possibility for dynamic foot evaluation, drawing from pedobarography and methods of gait analysis. The proposed data analysis algorithm is simple and can be applied in all cases. Normally, 30% of the sum of all pressures during stance phase falls on the rearfoot; 39% falls on forefoot.

Keywords: Biomedical Engineering, Foot, Gait, Adult, Algorithms, Biomechanical Phenomena, Fasciitis, Plantar, gait analysis, Heel, Pressure, Walking, Weight-Bearing

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750