Alshadli, Duaa and Chong, Albert and Newsham-West, Richard and Milburn, Peter (2014) Assessing the dynamic foot mobility magnitude using an image-based analysis system. In: 7th International Conference on Biomedical Engineering and Informatics (BMEI 2014), 14-16 Oct 2014, Dalian, China.
Abstract
Numerous static measurement methods have been developed to aid with the clinical evaluation of the dynamic foot posture. Although some of these methods provided high measurement reliability and validity, there is limited research correlating the static measurements with the dynamic foot measurements during activities such as gait. To explore whether the Foot Mobility Magnitude (FMM) can be used to predict midfoot posture during gait, static caliper measurements from two testers were compared with measurements obtained during gait using a photogrammetric measurement system utilising camcorders. The results obtained from the study showed that the photogrammetric measurement system provided slightly higher Intra-class rater reliability (0.951- 0.992) results than the static caliper measurements (0.901 – 0.991). The Inter-rater reliability was found to be high between the testers (0.824 – 0.953) but only moderate between the photogrammetric measurements and manual measurements conducted by the testers (0.693 – 0.900). Results obtained from an ANOVA determined that there is a significant difference between the static and dynamic FMM measurements (p < 0.05). It is hence concluded that to gain better insight into the dynamic behaviour of the foot, the use of video based measurement techniques is recommended.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| 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: | 19 Apr 2015 23:37 |
| Last Modified: | 19 Jun 2017 05:44 |
| Uncontrolled Keywords: | foot mobility magnitude; motion analysis; photogrammetry; gait; dynamic foot posture |
| Fields of Research (2008): | 09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing |
| Fields of Research (2020): | 40 ENGINEERING > 4003 Biomedical engineering > 400303 Biomechanical engineering 40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing |
| Socio-Economic Objectives (2008): | C Society > 92 Health > 9202 Health and Support Services > 920203 Diagnostic Methods |
| Identification Number or DOI: | https://doi.org/10.1109/BMEI.2014.7002759 |
| URI: | http://eprints.usq.edu.au/id/eprint/26917 |
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