2018•Unpublished venueRequires access

Foot Plantar Pressure Distribution Modeling Based On Image Processing

Ali Hussein Sabry, Ahmed Abdel Fattah Sabry, Wan Zuha Wan Hasan, Mohd Nazim Mohtar, Raja Kamil, Hafiz Rashidi Ramli, Ang Swee Peng, Zainidi Haji Abdul Hamid

Open publisher page 5 citations

Abstract

Several factors have been associated with the distribution of plantar foot pressure, including: (i) the body weight, (ii) age, (iii) foot structure and (iv) standing / walking strategy. It is predicted that the biomechanics of the foot is influenced by the structure of the foot. The objective of this study was to obtain the plantar pressure distribution model of the foot using custom image processing algorithms upon the images captured by a commercial plantar pressure measurement machine, the EMED-X. The study involved the participation and data collection from 79 human subjects, ranging from age 20-60 years old. This model can be analysed further to be used as a predictor for the formation of foot ulceration in certain subjects.

About this research paper

What this paper is about

Several factors have been associated with the distribution of plantar foot pressure, including: (i) the body weight, (ii) age, (iii) foot structure and (iv) standing / walking strategy. It is predicted that the biomechanics of the foot is influenced by the structure of the foot. The objective of this study was to obtain the plantar pressure distribution model of the foot using custom image processing algorithms upon the images captured by a commercial plantar pressure measurement machine, the EMED-X. The study involved the participation and data collection from 79 human subjects, ranging from age 20-60 years old. This model can be analysed further to be used as a predictor for the formation of foot ulceration in certain subjects.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Several factors have been associated with the distribution of plantar foot pressure, including: (i) the body weight, (ii) age, (iii) foot structure and (iv) standing / walking strategy. It is predicted that the biomechanics of the foot is influenced by the structure of the foot. The objective of this study was to obtain the plantar pressure distribution model of the foot using custom image processing algorithms upon the images captured by a commercial plantar pressure measurement machine, the EMED-X. The study involved the participation and data collection from 79 human subjects, ranging from age 20-60 years old. This model can be analysed further to be used as a predictor for the formation of foot ulceration in certain subjects.

Key concepts: Plantar pressure, Foot (prosody), Foot pressure, Biomechanics, Physical medicine and rehabilitation, Image processing, Distribution (mathematics), Computer science

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