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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Zainidi Haji Abdul Hamid
University Technology Brunei

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Image processing based foot plantar pressure distribution analysis and modeling Ali Hussein Sabry; W. Z. Wan Hasan; Mohd Nazim Mohtar; Raja Mohd Kamil Raja Ahmad; Hafiz Rashidi Ramli; S. P. Ang; Zainidi Haji Abdul Hamid
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp594-605

Abstract

Although many equipments and techniques are available for plantar pressure analysis to study foot pressure distributions, there is still a need for mathematical modelling references to compare the acquired measurements. In order to derive formulas in this concern, this research proposes a measurement-based method which adopts the reference measured parameters such as; the weight of a subject, contact-area size, age, and the pressure level distribution over a plantar image captured by the EMED plantar pressure system. The proposed analysis and algorithm were verified by a group 79 volunteers through data collection with four various measurement conditions. Three mathematical modelling equations have been proposed that describe the relationships between the foot plantar pressure levels and the subject’s body mass, foot size, and age. The modelling of foot plantar pressure could be useful for various applications such as gait analysis, hospitals, clinics, custom shoe making, and early detection of ulceration in the case of diabetic patients.
In-sole plantar pressure device with optimization measurement techniques O. Hussein; W.Z. Wan Hasan; A. Che Soh; H. Jafaar; H.R. Ramli; S.P. Ang; Zainidi Haji Abdul Hamid
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp739-749

Abstract

Doctors and clinicians rely on accurate underfoot pressure data to perform diagnosis of foot diseases. In sole pressure measurement systems are designed to provide such data but its implementation suffers from certain constraints such as the need for a spacer to be placed on the sensor when taking measurements and the need for multiple calibrations due to the fact that the sensor parameters tend to change without it. In this work, we proposed an optimization technique to address these limitations. The results obtained from testing indicate that the proposed device performed measurement of plantar pressure effectively. Also, the calculation of body weight using the proposed optimization technique is improved from 5.07% to 9.06%. For validation, the results are compared with the measurements from a commercial plantar pressure device (EMED system) as benchmark. 
Co-Authors A. Che Soh Ali Hussein Sabry H. Jafaar H.R. Ramli Hafiz Rashidi Ramli Mohd Nazim Mohtar O. Hussein Raja Mohd Kamil Raja Ahmad S. P. Ang S.P. Ang W. Z. Wan Hasan W.Z. Wan Hasan