Plantar Pressure Characteristics in Obese Individuals: A Proposed Methodology

Al-Daffaie, Kadhem and Chong, Albert K. and Gharineiat, Zahra (2019) Plantar Pressure Characteristics in Obese Individuals: A Proposed Methodology. In: 2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC), 27-29 July, 2019, Singapore, Singapore.


Abstract

This paper uses a new approach to examine the characteristics of human plantar pressure of obese people. This approach is based on statistical techniques. It helps in solving the problem of the requirement of a significant amount of sources. This approach utilised statistical techniques to combine data from published works and self-captured data. The final results then are calculated from the combined data. Five obese volunteers were engaged in this study to examine the maximum force (MF) and peak pressure (PP). By using a 10-m walkway and 3000E Fscan in-shoe sensors, these characteristics were studied for the regions of: the whole foot, heel, midfoot, forefoot, hallux and toes. The findings of all twelve parameters studied in this research indicated that the proposed methodology gives more accurate results with less resources, where SEs were smaller than SDs in all 12 (100%) parameters studied. The whole foot had the largest values of MF, whereas the heel area had the highest value of PP. On the other hand, the toes region had the lowest values of both MF and PP.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Date Deposited: 13 Aug 2020 06:11
Last Modified: 01 Oct 2020 00:26
Uncontrolled Keywords: human gait analysis; plantar pressure; alternative statistical methodology; data combining; data weighting; maximum force; peak pressur
Fields of Research (2008): 01 Mathematical Sciences > 0104 Statistics > 010401 Applied Statistics
11 Medical and Health Sciences > 1106 Human Movement and Sports Science > 110601 Biomechanics
Identification Number or DOI: https://doi.org/10.1109/ICISPC.2019.8935691
URI: http://eprints.usq.edu.au/id/eprint/36492

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